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Articles, blogs, guides and how-tos about business process automation.

  • Microsoft Outlook Trigger

    Microsoft Outlook Trigger

    The Microsoft Outlook Trigger node in n8n starts your workflow automatically when specific events occur in a Microsoft Outlook mailbox — most commonly when a new email arrives. This lets you build automated email processing pipelines that respond to incoming messages in real time, routing them to the right systems and people without manual intervention. Email remains one of the primary channels through which business information flows. Invoices arrive as attachments, customer enquiries land in shared inboxes, approval requests come through as formatted messages, and reports are delivered on schedule. The Outlook Trigger captures these events and feeds the email data — subject, body, sender, attachments, and metadata — directly into your n8n workflow for automated processing. Common automation patterns include extracting invoice data from email attachments and pushing it to accounting systems, routing customer enquiries to the appropriate team based on subject line or content analysis, saving attachments to cloud storage with proper naming and folder structure, and triggering approval workflows when specific types of emails arrive. Our patient data entry project automated the processing of incoming medical documents that arrived via email, eliminating hours of manual data entry. If your team spends significant time processing emails manually and wants to explore robotic process automation for your inbox workflows, our consulting team can design an automation that handles the repetitive work so your staff can focus on tasks that need human judgement.
    Microsoft Outlook Trigger consultants
  • Wikipedia

    Wikipedia

    Wikipedia is an n8n tool node that gives AI agents the ability to search and retrieve information from Wikipedia during their reasoning process. When an agent encounters a question that requires factual knowledge, general definitions, or background context, it can query Wikipedia and incorporate the retrieved information into its response. This grounds the agent output in verifiable, publicly available information rather than relying solely on the language model training data. The node works as a tool within n8n AI Agent workflows. The agent decides when Wikipedia lookup would be helpful, sends a search query, receives a summary of the most relevant article, and uses that information to answer the user question or complete a task. This is particularly useful for agents that handle questions about companies, technical concepts, historical events, geographical information, or any domain where Wikipedia has reliable coverage. At Osher Digital, we include Wikipedia as a knowledge tool in AI agent builds where agents need access to general reference information. It is especially useful for customer-facing agents that might receive a wide range of questions, and for data enrichment workflows where records need to be augmented with publicly available context. For internal knowledge bases where you need agents to reference your own proprietary data instead, we build custom RAG solutions using vector stores — our AI consulting team can help you decide the right knowledge retrieval approach for your use case.
    Wikipedia consultants
  • AI Agent

    AI Agent

    The AI Agent node in n8n is one of the platform’s most powerful components. It lets you build autonomous agents that can reason about tasks, decide which tools to use, and execute multi-step processes without manual intervention. Unlike simple prompt-and-response setups, an AI agent can call APIs, query databases, search the web, and chain together multiple actions to achieve a goal. At its core, the node connects a large language model to a set of tools you define. The model receives a task, evaluates which tools are needed, calls them in sequence, interprets the results, and determines whether the objective has been met or if further steps are required. This loop continues until the agent completes the task or reaches a configured limit. It is the same architecture behind popular agent frameworks, made accessible through n8n’s visual workflow builder. Businesses are using AI agents for tasks like processing incoming enquiries and routing them to the right team, extracting data from documents and populating systems automatically, and monitoring data sources to trigger actions based on specific conditions. Our talent marketplace case study demonstrates how an agent-based approach automated application screening that previously required hours of manual review. Building reliable agents requires careful design around tool definitions, error handling, and guardrails. If your team is exploring AI agent development, our consultants can help you design agents that are robust enough for production use.
    AI Agent consultants
  • Summarization Chain

    Summarization Chain

    The Summarization Chain node in n8n automates the process of condensing long documents, articles, or data feeds into concise summaries using a large language model. Instead of manually reading through lengthy content, you can feed it into this node and receive a focused summary that captures the key points. It is particularly valuable for teams dealing with high volumes of text-based information. Under the hood, the node implements LangChain’s summarisation strategies, which handle documents that exceed the language model’s context window. It can split long texts into chunks, summarise each chunk individually, and then combine those summaries into a final coherent output. This means you are not limited by token limits — the node manages that complexity for you. Practical applications span across industries. Financial teams use it to summarise daily market reports. Legal departments condense contract reviews. Customer support teams distil lengthy ticket histories into actionable overviews. Our work with an insurance technology company involved similar document processing challenges where automated summarisation saved significant manual effort. If your business processes large volumes of text and you want to explore how automated data processing can reduce manual workload, our AI consulting team can help you design summarisation workflows that integrate with your existing systems.
    Summarization Chain consultants
  • OpenAI

    OpenAI

    OpenAI is an n8n node that connects your workflows to OpenAI models including GPT-4o, GPT-4, and GPT-3.5 Turbo. It lets you send prompts, receive completions, generate embeddings, and use function calling directly within your automation pipelines. Whether you are classifying incoming emails, generating content, extracting data from documents, or powering a conversational AI agent, this node provides the bridge between your workflow logic and OpenAI language models. The node supports chat completions with system and user messages, JSON mode for structured responses, function calling for tool-use workflows, and vision capabilities for image analysis. You can configure temperature, max tokens, and model selection per node, giving you granular control over how the AI behaves at each step of your workflow. For cost management, you can route simple tasks to GPT-3.5 Turbo and reserve GPT-4o for complex reasoning steps. At Osher Digital, OpenAI nodes are central to the AI agent systems and custom AI solutions we build for clients. From our medical document classification system to our talent marketplace application processing, OpenAI models power the intelligence layer while n8n handles orchestration. If you want to integrate AI into your business processes but are unsure where to start or which model fits your use case, our AI consulting team can guide you from proof of concept to production.
    OpenAI consultants
  • Google PaLM Chat Model

    Google PaLM Chat Model

    The Google PaLM Chat Model node connects your n8n workflows to Google’s PaLM (Pathways Language Model) family of large language models. It gives your automations access to Google’s AI capabilities for text generation, conversation, summarisation, and analysis — all configured through n8n’s visual interface without writing API client code. This node is particularly relevant for organisations already invested in the Google Cloud ecosystem. If your business runs on Google Workspace, uses BigQuery for analytics, or deploys services on Google Cloud Platform, the PaLM model slots neatly into your existing infrastructure and billing. You get a capable language model that integrates naturally with the rest of your Google stack. In practical automation terms, the PaLM Chat Model node works the same way as other language model nodes in n8n — you connect it to an AI agent, conversational chain, or any workflow component that needs natural language processing. Use it to power customer-facing chatbots, summarise meeting transcripts pulled from Google Calendar, generate email drafts based on CRM data, or classify incoming support requests. The node handles the API communication, token management, and response formatting so your workflow stays clean. For Australian businesses building AI agent systems or exploring business automation with language models, the PaLM node provides a solid alternative to OpenAI and Anthropic models. Having multiple model options means you can test which provider delivers the best results for your specific tasks, and you are not locked into a single vendor. Some tasks perform better on one model versus another, and the ability to swap models in n8n makes comparison straightforward.
    Google PaLM Chat Model consultants
  • Groq Chat Model

    Groq Chat Model

    The Groq Chat Model node connects your n8n workflows to Groq’s inference platform, which is built around their custom LPU (Language Processing Unit) hardware. The headline feature is speed — Groq delivers language model responses significantly faster than traditional GPU-based inference providers. If your automation requires near-instant AI responses, this node is worth serious consideration. Speed matters more than you might think in production workflows. When an AI agent needs to make multiple sequential LLM calls to reason through a problem — retrieving data, analysing it, deciding on next steps, and drafting a response — each call’s latency compounds. A model that responds in 200 milliseconds instead of 2 seconds means your multi-step agent completes in a few seconds rather than tens of seconds. For customer-facing applications, that difference directly affects user experience. Groq hosts popular open-source models including Llama, Mixtral, and Gemma variants. This means you get fast inference on capable models without needing to manage your own infrastructure. For AI consulting projects where clients need high-throughput AI processing — think real-time chat support, live data classification, or interactive AI agents — Groq offers a compelling price-to-performance ratio, especially for the speed-sensitive parts of a pipeline. The node works identically to other chat model nodes in n8n. Connect it to an AI agent, conversational chain, or any component that accepts a language model, and it functions as a drop-in replacement. This makes it easy to benchmark Groq against OpenAI, Anthropic, or Google models on your specific tasks. Many teams we work with at Osher use Groq for the fast, high-volume parts of their workflows and reserve more expensive models for tasks that demand maximum reasoning capability.
    Groq Chat Model consultants
  • WhatsApp Trigger

    WhatsApp Trigger

    The WhatsApp Trigger node starts an n8n workflow whenever a message arrives on your WhatsApp Business account. It listens for incoming messages — text, images, documents, voice notes, locations — and feeds them directly into your automation pipeline. For businesses where WhatsApp is a primary communication channel (and in Australia, it increasingly is), this node turns a messaging app into a fully automated intake system. The practical applications are immediate. A customer sends a WhatsApp message asking about your services — your workflow receives it, an AI agent classifies the intent, looks up relevant information, and sends a personalised response, all within seconds. A field worker sends a photo of a completed job — your workflow extracts the metadata, logs it to your project management system, and notifies the office. A supplier sends a PDF invoice via WhatsApp — your workflow downloads it, extracts the data using AI, and creates the entry in your accounting software. For Australian businesses exploring sales automation and business automation, WhatsApp as an input channel is powerful because it meets customers where they already are. There is no app to download, no portal to log into. Customers just send a message the same way they message their friends, and your automation handles the rest. We have seen this pattern work particularly well for property services, healthcare bookings, and trade businesses where the customer base prefers quick messaging over formal enquiry forms. The node integrates with the WhatsApp Business API via the Meta Cloud API, so you get proper business messaging features: message templates, interactive buttons, list messages, and media handling. Combined with n8n’s AI capabilities and integration ecosystem, you can build sophisticated WhatsApp-based workflows that handle everything from initial enquiry to booking confirmation to post-service follow-up.
    WhatsApp Trigger consultants
  • Remove Duplicates

    Remove Duplicates

    Remove Duplicates is an n8n node that filters out duplicate items from your workflow data based on field values you specify. When processing data from multiple sources — CRM exports, API responses, spreadsheet imports — duplicates inevitably creep in. This node catches them before they cause problems downstream, whether that means sending duplicate emails, creating duplicate records in your database, or double-processing invoices. The node works by comparing a field you choose (like email address, record ID, or transaction number) across all items passing through it. Only the first occurrence of each unique value continues through the workflow; subsequent duplicates get filtered out. You can also compare across multiple fields for more precise deduplication, such as matching on both name and date to catch records that share one field but differ on another. At Osher Digital, deduplication is a standard step in almost every data processing pipeline and system integration we build. In our talent marketplace project, removing duplicate applicant records was essential before feeding data into the AI processing stage. If your business is dealing with messy, duplicated data across multiple systems, our business automation team can design a clean data pipeline that eliminates duplicates and keeps your systems in sync.
    Remove Duplicates consultants
  • Workflow Retriever

    Workflow Retriever

    The Workflow Retriever node lets your AI agents and chains pull information from other n8n workflows as if they were knowledge sources. Instead of connecting to a vector database or external API for retrieval, this node calls a separate n8n workflow that returns the relevant documents or data. It turns any workflow into a retrievable knowledge source for your RAG (retrieval-augmented generation) pipelines. This opens up retrieval patterns that are not possible with standard vector store approaches. Your retriever workflow can query a database, call an API, read from a spreadsheet, filter results based on business logic, or combine data from multiple sources — all before returning the results to your AI chain. The flexibility is significant: you are not limited to similarity search against embeddings. You can build any retrieval logic you want. For businesses running complex system integrations, this is a practical way to give AI agents access to live business data. An AI customer support agent could retrieve the latest order status from your ERP, current stock levels from your warehouse system, and relevant policy documents from your knowledge base — all through separate retriever workflows that each handle their own data source and transformation logic. The pattern also keeps your workflows modular and maintainable. Each retriever workflow is self-contained with its own error handling, credentials, and logic. When a data source changes its API or schema, you update one retriever workflow without touching your main AI agent workflow. Teams at Osher use this pattern extensively in n8n consulting projects where AI agents need access to multiple business systems simultaneously.
    Workflow Retriever consultants

  • RSS Feed Trigger

    The RSS Feed Trigger node in n8n monitors RSS and Atom feeds and starts a workflow whenever new content appears. It polls the feed on a schedule you define — every five minutes, every hour, once a day — and fires the workflow for each new item it detects. This is the starting point for any automation that reacts to published content, whether that is news articles, blog posts, podcast episodes, or product updates. For sales and marketing teams, RSS Feed Trigger is a practical way to automate competitive monitoring, content curation, and lead intelligence. Set it to watch competitor blogs, industry news feeds, or job posting boards, then pipe new items through AI models to summarise, classify, or extract relevant details. The team gets a curated feed of what matters without manually checking dozens of sources every morning. The node also works well for operational workflows. Monitor government gazette feeds for regulatory changes, track vendor announcement pages for product updates, or watch job boards for new listings that match your criteria. We have built similar monitoring pipelines for clients using system integration workflows that connect RSS data to Slack alerts, CRM records, and reporting dashboards. If you need to monitor external content sources and turn them into actionable data inside your business systems, our n8n consulting team can design a monitoring pipeline that filters out noise and surfaces what actually matters to your team.
    RSS Feed Trigger consultants
  • Anthropic Chat Model

    Anthropic Chat Model

    The Anthropic Chat Model node connects n8n workflows to Claude, Anthropic’s advanced AI assistant. If your business needs natural language understanding that goes beyond simple keyword matching, this node gives you direct access to one of the most capable large language models available. It slots into any n8n workflow where you need text generation, summarisation, classification, or conversational responses — without writing API integration code from scratch. For Australian businesses dealing with high volumes of customer enquiries, internal knowledge requests, or document review tasks, the Anthropic Chat Model node turns what used to be hours of manual work into something that runs in seconds. Connect it to a WhatsApp trigger or email input, and you have an AI-powered response system that actually understands context. Pair it with a vector store retriever and your internal documents, and staff can query company knowledge in plain English. Where this node really earns its place is in workflows that chain multiple AI steps together. Use it as the reasoning engine inside an AI agent that reads customer messages, looks up order history from your CRM, and drafts a personalised reply — all within a single n8n execution. Businesses we work with at Osher have used exactly this pattern to cut response times from hours to minutes while keeping quality consistent. The node supports Claude 3.5 Sonnet, Claude 3 Opus, and other Anthropic models, so you can balance cost against capability depending on the task. Straightforward credential setup means you can have it running in your workflow within minutes, not days.
    Anthropic Chat Model consultants
  • Google Gemini Chat Model

    Google Gemini Chat Model

    The Google Gemini Chat Model node in n8n connects your workflows to Google’s Gemini family of large language models. Gemini handles text generation, reasoning, code generation, and multimodal tasks where you need the model to process both text and images. The node manages API authentication and request formatting, letting you plug Gemini into any business automation workflow without writing custom integration code. Gemini stands out for its long context window and strong performance on analytical tasks. When your workflow needs to process lengthy documents, compare multiple data sources, or reason through multi-step problems, Gemini handles the context well. We have used it in data pipeline projects where the model needed to understand complex domain-specific documents and extract structured information reliably. Inside n8n, the Gemini Chat Model node works the same way as other AI model nodes. Connect it to a Chat Trigger for conversational agents, pair it with vector stores for retrieval-augmented generation, or use it inline for tasks like classification, summarisation, and data extraction. You choose between Gemini Pro and Gemini Ultra depending on the complexity of your task and your budget. If you are evaluating which AI model fits your business needs, our AI consulting team can help you benchmark Gemini against alternatives like Claude and GPT on your actual data and workflows.
    Google Gemini Chat Model consultants
  • OpenAI Chat Model

    OpenAI Chat Model

    The OpenAI Chat Model node is the most widely used AI model node in n8n. It connects your workflows to OpenAI’s GPT models — GPT-4o, GPT-4, and GPT-3.5 Turbo — for text generation, analysis, and conversation. Drop it into any workflow where you need language understanding or generation, from answering customer questions to extracting data from documents to drafting email responses. What makes this node practical for business automation is its flexibility. The same node handles vastly different tasks depending on how you prompt it. A customer support workflow uses it to classify and respond to enquiries. A data processing pipeline uses it to extract structured fields from unstructured documents. A content workflow uses it to draft, edit, or translate text. You configure the behaviour through system prompts and parameters rather than different tools for each task. For production workflows, model selection matters. GPT-4o gives you the best balance of speed, quality, and cost for most business tasks. GPT-4 handles complex reasoning better but costs more and runs slower. GPT-3.5 Turbo is the budget option for simple tasks where speed matters more than nuance. We helped a talent marketplace process thousands of applications using GPT-4o for screening, where the model’s speed and accuracy hit the right balance for their volume. If you are building AI-powered workflows and want to get the most out of OpenAI’s models, our AI consultants can help you choose the right model, write effective prompts, and design workflows that run reliably at scale.
    OpenAI Chat Model consultants
  • Flow

    Flow

    Flow (by Microsoft, part of Power Automate) is a cloud-based workflow automation tool, and the n8n Flow node lets you connect it to your broader automation infrastructure. If your organisation uses Microsoft’s ecosystem but also relies on tools outside that environment, this node bridges the gap — letting you pass data between Power Automate flows and n8n workflows without manual handoffs or custom API development. Many businesses end up with automation spread across multiple platforms. Marketing might use one tool, operations another, and IT might have Power Automate handling internal Microsoft 365 processes. The Flow node in n8n lets you unify these by triggering Power Automate flows from n8n or pulling data from them into your n8n workflows. This is particularly useful for organisations with significant Microsoft 365 investments who also need to automate processes involving non-Microsoft tools like Slack, Airtable, or custom databases. Our business automation team at Osher frequently works with companies that have a mix of Microsoft and non-Microsoft tools. Rather than forcing everything into one platform, we help design architectures where n8n and Power Automate each handle what they’re best at, with clean handoffs between them. The Flow node makes these cross-platform workflows practical and maintainable, so your team isn’t stuck choosing between ecosystems.
    Flow consultants
  • Flow Trigger

    Flow Trigger

    Flow Trigger is the event-listening counterpart to the Flow node in n8n. While the Flow node lets you send data to Microsoft Power Automate, Flow Trigger starts your n8n workflow when something happens in a Power Automate flow. This means actions taken inside the Microsoft ecosystem — such as a new SharePoint file upload, a Teams message, or an Outlook event — can automatically kick off processing in n8n. This trigger is essential for organisations that want n8n to react to Microsoft 365 events without polling. Instead of periodically checking for changes, Flow Trigger receives a push notification from Power Automate the moment something happens. For example, when a new document lands in a SharePoint folder, Power Automate can instantly notify n8n to extract data from that document, process it through AI nodes, and update an external database — all within seconds of the upload. At Osher, we’ve built automated data processing workflows that use Flow Trigger as the entry point from Microsoft environments. One common pattern is document processing: a file arrives in SharePoint, triggers a Power Automate flow, which calls n8n via Flow Trigger, and n8n handles the heavy lifting — OCR, data extraction, validation, and routing to the appropriate system. It’s a clean separation of responsibilities that keeps both platforms doing what they do best.
    Flow Trigger consultants
  • Copper

    Copper

    Copper is a CRM built specifically for Google Workspace users, and the n8n Copper node lets you automate your sales and relationship management processes by connecting Copper to the rest of your business tools. You can create and update contacts, companies, deals, and activities programmatically — turning manual CRM data entry into automated workflows that keep your sales pipeline accurate without constant human intervention. The sweet spot for Copper automation is in reducing the administrative burden on sales teams. Every time a new lead comes in from a web form, a deal progresses, or a customer interaction happens in another system, n8n can automatically update Copper to reflect the change. This means your sales team spends less time entering data and more time actually selling. It also means your CRM data is more reliable, because it’s being updated in real time by systems rather than depending on busy salespeople remembering to log activities. At Osher, we’ve helped sales-driven businesses build sales automation workflows that keep Copper synchronised with email marketing platforms, support desks, invoicing systems, and custom internal tools. One pattern we see frequently is lead enrichment — when a new contact is created in Copper, an n8n workflow automatically pulls in company data, social profiles, and recent news, giving the sales rep a complete picture without any manual research. If your team uses Copper and Google Workspace, connecting it to n8n through this node unlocks a significant productivity gain.
    Copper consultants
  • Copper Trigger

    Copper Trigger

    Copper (formerly ProsperWorks) is a CRM built for Google Workspace that tracks contacts, leads, opportunities, and pipelines directly within Gmail and Google Calendar. The Copper Trigger node in n8n fires when records change in Copper — a new lead is created, an opportunity moves stages, or a contact is updated — letting you automate responses to CRM events across your entire stack. For teams that live in Google Workspace, Copper is often the CRM of choice because it sits inside the tools they already use. But CRM data needs to flow beyond Gmail. When a deal moves to “Closed Won,” your project management tool needs a new project, your invoicing system needs a new client, and your onboarding sequence needs to kick off. The Copper Trigger handles the CRM side; n8n handles everything that comes after. The trigger is particularly valuable for sales teams that need speed. When a new lead comes in, n8n can instantly enrich it with company data, score it against your qualification criteria, assign it to the right rep, and fire off a Slack notification — all within seconds of the Copper record being created. We have built similar real-time lead routing systems for clients whose response time directly impacts close rates. If your sales team uses Copper and you want CRM events to automatically drive actions in other systems, the Copper Trigger is the starting point. Our AI consulting team can design intelligent CRM-triggered workflows that go beyond simple notifications to include lead scoring, enrichment, and automated follow-up sequences.
    Copper Trigger consultants

  • Sticky Note

    Sticky Note is one of n8n’s most underrated workflow nodes — a simple but powerful way to annotate, document, and organise your automation canvas. If you’ve ever returned to a workflow after a few weeks and had no idea what a particular branch was doing, Sticky Note solves that problem. It lets you pin context directly onto the canvas so your team (and your future self) can understand the logic at a glance. For businesses running dozens of automated workflows across departments, documentation becomes critical. Sticky Note acts as inline commentary, allowing you to label sections, explain decision logic, flag areas that need review, or note dependencies on external systems. This is particularly valuable when multiple team members collaborate on the same n8n instance, as it reduces onboarding time and prevents accidental changes to sensitive workflow branches. At Osher, we use Sticky Note extensively in client projects to keep business automation workflows maintainable over time. Whether you’re building a simple file-processing pipeline or a complex multi-step integration, adding Sticky Notes at key decision points makes your workflows production-ready rather than just functional. It’s a small habit that pays off significantly when you need to troubleshoot or hand off a workflow to someone else.
    Sticky Note consultants
  • OpenThesaurus

    OpenThesaurus

    OpenThesaurus is a free German-language thesaurus API, and the n8n OpenThesaurus node gives your workflows access to synonym lookups without needing any API keys or paid subscriptions. If you’re processing German-language content — whether for translation workflows, content generation, text analysis, or search optimisation — this node lets you programmatically find alternative words and phrases directly within your automation. The practical applications are broader than you might expect. Content teams working across English and German markets can use OpenThesaurus to enrich translations, ensuring word variety and natural phrasing. Search and classification workflows benefit from synonym expansion, where looking up related terms improves matching accuracy. And any data processing pipeline that handles German text can use this node to normalise or expand vocabulary as part of a larger processing chain. While OpenThesaurus is specifically a German-language resource, its integration into n8n demonstrates how specialised language tools can be woven into broader automation workflows. At Osher, we’ve built multilingual content processing pipelines that combine language-specific APIs like OpenThesaurus with AI nodes for translation and classification. If your business handles German-language content at any scale, this node removes the manual lookup step and makes synonym expansion part of your automated workflow.
    OpenThesaurus consultants
  • Pushcut Trigger

    Pushcut Trigger

    Pushcut Trigger connects iOS device actions and notifications to n8n workflows. When a notification is tapped, a widget is activated, or a Shortcuts automation runs on your iPhone or iPad, the trigger fires and passes the context into n8n for processing. It bridges the gap between Apple’s ecosystem and server-side automation. This is particularly handy for teams that need human-in-the-loop approvals on mobile. Picture a workflow where a purchase order lands in your system, n8n sends a Pushcut notification to the approver’s phone, they tap “Approve” or “Reject,” and the trigger fires the next step — updating the database, notifying the requester, and logging the decision. No app switching, no email chains. Developers and ops teams also use it to trigger server-side tasks from their phone. Run a deployment, kick off a data sync, or restart a service — all from a notification action that feeds into n8n. It turns your phone into a lightweight control panel for backend processes. If you are building workflows that need mobile input or iOS-triggered actions, Pushcut Trigger gives you a clean way to connect those moments to the rest of your automation stack. Our AI agent development team has integrated similar mobile-triggered workflows for clients who need rapid human decisions woven into automated processes.
    Pushcut Trigger consultants
  • Stackby

    Stackby

    Stackby is a spreadsheet-database hybrid that lets teams organise data in structured tables with column types like attachments, checkboxes, dropdowns, and API-linked columns. Think of it as a more structured alternative to spreadsheets that non-technical teams can actually manage. The n8n node lets you read, create, update, and delete records programmatically. The practical value shows up when Stackby is the source of truth for a team that does not want to work inside a traditional database. Marketing teams track campaigns, operations teams manage inventory, and project managers run task boards — all in Stackby. n8n connects those tables to the rest of your systems so data flows without manual exports or imports. A common pattern is using Stackby as the front end for a workflow that touches multiple services. A team member updates a status column in Stackby, n8n picks up the change, triggers actions in your CRM, sends notifications, and updates related records in other systems. The team never leaves their familiar spreadsheet interface, but the automation runs in the background. If your team has outgrown spreadsheets but is not ready for a full-blown database, Stackby paired with n8n gives you structured data with automated workflows on top. Our data processing team regularly builds this kind of setup for clients who need reliability without complexity.
    Stackby consultants
  • SyncroMSP

    SyncroMSP

    SyncroMSP is a professional services automation (PSA) and remote monitoring and management (RMM) platform built for managed service providers and IT support businesses. It combines ticketing, billing, remote access, patch management, scripting, and customer management into a single system — reducing the number of tools an MSP needs to run their operation. IT service providers and internal IT teams use SyncroMSP to manage client devices, respond to support tickets, automate routine maintenance tasks, and handle recurring invoicing. Its integrated RMM agent provides real-time visibility into device health, while the PSA side keeps service delivery organised from ticket creation through to billing. At Osher, we integrate SyncroMSP into wider business workflows using n8n, connecting it to CRMs, communication platforms, accounting systems, and alerting tools. We automate ticket routing, escalation triggers, client onboarding sequences, and reporting — so MSPs spend less time on operational overhead and more time delivering value to their clients. Explore our business automation services or see how we’ve streamlined operations in our property inspection company case study.
    SyncroMSP consultants
  • Salesmate

    Salesmate

    Salesmate is a CRM platform built for small to mid-sized sales teams that need pipeline management, contact tracking, email sequences, and built-in calling without the complexity of enterprise systems. It covers the full sales cycle from lead capture through to deal closure, with automation features that reduce the repetitive admin work that slows teams down. Sales managers and business development teams use Salesmate to keep their pipeline visible, automate follow-up cadences, and track performance metrics. Its built-in communication tools — email, calling, and texting — mean reps can work from a single interface rather than switching between applications throughout the day. At Osher, we integrate Salesmate into wider business workflows using n8n, connecting it to marketing platforms, accounting systems, support desks, and custom databases. This means leads flow into Salesmate from web forms, chatbots, or advertising platforms without manual entry, and closed deals can trigger invoicing, onboarding sequences, or project creation downstream. Explore our sales automation services or see a real-world example in our talent marketplace case study.
    Salesmate consultants
  • LingvaNex

    LingvaNex

    LingvaNex is a machine translation API and platform that supports real-time text translation across over 100 languages. It is built for developers and businesses that need to embed translation capabilities into their applications, websites, or internal workflows. If your team deals with multilingual content — customer support tickets, product listings, documents, or user-generated content — LingvaNex provides a programmatic way to handle translation at scale. The platform offers both a REST API and pre-built integrations, making it straightforward to add translation to existing systems. Education platforms, ecommerce marketplaces, global support teams, and content publishers are among its most common users. Unlike consumer translation tools, LingvaNex is designed for automated, high-volume translation within business workflows. At Osher, we integrate LingvaNex into automation pipelines using n8n. That might mean automatically translating incoming support tickets into English, localising product descriptions for international marketplaces, or converting internal documents for distributed teams. The translation step becomes one part of a larger automated workflow rather than a manual task someone has to remember to do. If your business handles multilingual content and you are spending time on manual translation or copy-pasting into Google Translate, our AI agent development team can build an automated translation pipeline that fits into your existing processes. Talk to our team about what that looks like for your use case.
    LingvaNex consultants
  • Box Trigger

    Box Trigger

    Box Trigger is a workflow automation node that listens for events in Box, the cloud content management and file sharing platform. When files are uploaded, modified, deleted, or shared in Box, the trigger fires and kicks off an automated workflow. If your team stores documents, contracts, or project files in Box, this trigger lets you build automations that respond to file activity in real time. Box is widely used by legal teams, enterprise IT departments, financial services firms, and any organisation that needs secure cloud document storage with fine-grained access controls. Box Trigger extends that value by turning passive file storage into an active part of your workflow — new uploads can trigger approvals, file changes can update databases, and shared folders can sync with project management tools. At Osher, we use Box Trigger within n8n to connect document workflows to broader business processes. A common example: when a signed contract lands in a specific Box folder, an n8n workflow extracts key details, updates the CRM record, notifies the account manager, and moves the file to an archive folder — all without anyone lifting a finger. We have built similar document-triggered workflows for clients in professional services and healthcare. If your team spends time manually processing files that arrive in Box, our RPA and business automation teams can build workflows that handle it automatically. Get in touch to discuss your document workflow.
    Box Trigger consultants
  • Affinity

    Affinity

    Affinity is a relationship intelligence and CRM platform designed for deal-driven teams in venture capital, private equity, investment banking, and professional services. Unlike traditional CRMs that rely on manual data entry, Affinity automatically captures relationship data from emails, calendars, and meetings to build a living map of your network. If your team manages deals, partnerships, or client relationships and you are tired of CRM data going stale, Affinity solves that problem. The platform tracks relationship strength, surfaces warm introductions, manages deal pipelines, and provides analytics on team activity. It is particularly popular with investors and dealmakers who need to move fast and rely on relationships to source and close opportunities. Affinity also integrates with email providers and calendar systems to keep records up to date without manual effort. At Osher, we connect Affinity to broader operational workflows using n8n. That might mean syncing deal pipeline updates to Slack, triggering onboarding workflows when a deal closes, or enriching Affinity records with data from external sources like LinkedIn or company databases. We have built similar CRM-connected workflows for professional services firms that needed their relationship data to drive downstream processes automatically. If your team is using Affinity but still moving data manually between tools, our sales automation and system integration teams can connect it to the rest of your tech stack so your relationship data works harder for you.
    Affinity consultants
  • Wufoo Trigger

    Wufoo Trigger

    Wufoo is an online form builder that lets businesses create contact forms, surveys, registration forms, and payment forms without writing code. It has been a reliable choice for teams that need forms up and running quickly. The Wufoo Trigger node in n8n fires whenever a new form submission comes in, allowing you to route that data anywhere automatically. The problem with Wufoo — and most form tools — is that submissions land in a dashboard and sit there until someone manually reviews them. For time-sensitive submissions like sales enquiries, support requests, or event registrations, that delay costs real money. And when someone does get around to processing the submissions, they are copying data from Wufoo into a CRM, spreadsheet, or support ticket system by hand. Osher uses the Wufoo Trigger node in n8n to eliminate that manual step entirely. When a form is submitted, the data is instantly routed to the right system — a CRM record is created, a Slack notification pings the sales team, a support ticket is opened, or a registration is confirmed. No delay, no copy-pasting, no missed submissions. We build these workflows so form data flows straight into your operational tools the moment it arrives. If your team is still manually processing form submissions, our automated data processing services can help you turn every form into an instant, automated action.
    Wufoo Trigger consultants
  • Beeminder

    Beeminder

    Beeminder is a goal-tracking and commitment tool that combines quantified self-tracking with financial stakes. Users set measurable goals — exercise frequency, writing output, coding commits, revenue targets — and Beeminder charges real money if they fall off track. It connects to dozens of data sources to automatically track progress, making it popular with individuals and teams who want accountability backed by real consequences. The limitation of Beeminder on its own is that it only tracks what its native integrations support. If your goals depend on data from internal tools, custom databases, project management platforms, or business metrics that Beeminder cannot connect to natively, you are stuck manually entering data points. Manual entry defeats the purpose of automatic tracking and introduces gaps that undermine your commitment contracts. Osher connects Beeminder to any data source using n8n workflows. We build automations that pull goal-relevant data from your project management tools, CRM, analytics platforms, time trackers, or internal databases and push it to Beeminder automatically. Whether you are tracking sales calls completed, support tickets resolved, blog posts published, or any other measurable metric, we make sure Beeminder gets accurate data without anyone entering it by hand. If you want to track business goals with real accountability and need data flowing from systems Beeminder does not natively support, our automated data processing services and system integration expertise can make it happen.
    Beeminder consultants
  • Monica CRM

    Monica CRM

    Monica CRM is an open-source personal relationship management tool built for individuals and small teams who want to keep track of contacts, conversations, activities, and reminders in one place. Unlike enterprise CRMs that focus on sales pipelines, Monica is designed around relationships — logging birthdays, tracking how you met someone, and recording notes about past conversations. The challenge with Monica CRM is that it often sits as a standalone tool, disconnected from email, calendars, and other systems your team actually uses day to day. When contact data lives in one place and your communication tools live in another, things slip through the cracks — missed follow-ups, forgotten introductions, and duplicated effort. Osher integrates Monica CRM with your broader workflow using n8n. We build automations that sync contacts between Monica and your email platform, create reminders in your calendar based on Monica activities, and push new contact data from web forms or other sources straight into your Monica instance. The result is a relationship management system that works with your existing tools instead of alongside them. If you are looking to connect Monica CRM to the rest of your tech stack, our system integration services can help you build those bridges without writing custom code from scratch.
    Monica CRM consultants
  • Webex by Cisco Trigger

    Webex by Cisco Trigger

    Webex by Cisco is a video conferencing and team collaboration platform used by enterprises and mid-sized businesses for meetings, messaging, and webinars. The Webex Trigger node in n8n lets you react to events inside Webex — new messages, meeting starts, participant joins, and more — and kick off automated workflows based on those events. The problem most teams face with Webex is that it generates a constant stream of information — meeting recordings, chat messages, action items — but none of it flows automatically into the tools where work actually happens. Meeting notes stay buried in Webex, action items never make it into your project management tool, and follow-ups get missed because nobody manually copied them over. Osher uses the Webex Trigger node in n8n to build event-driven automations that connect Webex to your project management, CRM, and communication tools. When a meeting ends, action items can be extracted and pushed to Asana or Jira. When a message mentions a client name, a note can be logged in your CRM automatically. These workflows turn Webex from a standalone communication tool into a connected part of your operations. If your team spends time manually transferring information out of Webex, our business automation services can help you eliminate that busywork.
    Webex by Cisco Trigger consultants
  • Quick Base

    Quick Base

    Quick Base is a low-code application platform that lets teams build custom business apps for tracking, managing, and automating workflows — without waiting on IT. It combines a relational database, form builder, workflow engine, and reporting dashboards in one platform, making it popular with operations, project management, and field service teams who need tools shaped around their processes. Where Quick Base really shines is when businesses have outgrown spreadsheets but do not need (or cannot afford) full custom software. You can build project trackers, inventory systems, approval workflows, resource management tools, and client portals that pull data from multiple sources and give teams a single place to work. At Osher, we integrate Quick Base with external systems through system integrations and business automation workflows. We connect Quick Base apps to your CRM, accounting software, email platforms, and data sources so information flows between systems without manual re-entry. If your operations team has built something useful in Quick Base but it is sitting in a silo, disconnected from your other tools, that is where integration work turns a good app into a proper system.
    Quick Base consultants
  • Freshservice

    Freshservice

    Freshservice is an IT service management (ITSM) platform that handles incident management, service requests, change management, asset tracking, and problem resolution for IT teams. It gives internal teams a structured way to log, track, and resolve IT issues instead of relying on email threads and Slack messages that get lost. For growing businesses, Freshservice becomes the central hub for IT operations — employees submit requests through a self-service portal, tickets are routed and prioritised automatically, assets are tracked through their lifecycle, and SLAs are monitored so nothing slips through the cracks. But its real value increases when it connects to the rest of your business systems. At Osher, we integrate Freshservice into broader operational workflows using system integrations and robotic process automation. We connect your IT service desk to HR onboarding, security tools, monitoring platforms, and project management systems so IT requests trigger real actions across your organisation. If your IT team is spending more time on ticket admin than actually resolving issues, automation can handle the routing, notifications, and record-keeping while your team focuses on the technical work.
    Freshservice consultants
  • SIGNL4

    SIGNL4

    SIGNL4 is a mobile alerting and incident response platform that delivers critical notifications to on-call teams through push notifications, SMS, and voice calls. It goes beyond simple alerts by adding duty scheduling, escalation chains, acknowledgement tracking, and audit trails — so when something breaks at 2 AM, the right person knows about it and you can prove the alert was handled. For operations teams, IT departments, and field service companies, SIGNL4 replaces the unreliable combo of email alerts and hope. It connects to monitoring tools, IoT sensors, helpdesks, and custom systems to make sure urgent issues are not just detected but actually responded to, with full visibility into who acknowledged what and when. At Osher, we integrate SIGNL4 into operational monitoring and incident response workflows through system integrations and business automation. We have built similar alerting and response pipelines for clients managing critical infrastructure — like our work on the BOM weather data pipeline where real-time monitoring and alerting were essential. If your team is relying on email notifications for critical alerts, you already know the problem — emails get buried, phones are on silent, and nobody knows if someone is actually looking at the issue.
    SIGNL4 consultants
  • Webex by Cisco

    Webex by Cisco

    Webex by Cisco is a video conferencing and team collaboration platform used by businesses of all sizes for meetings, webinars, events, and messaging. It offers screen sharing, recording, breakout rooms, and integrations with calendars and productivity tools, making it a go-to choice for organisations that need reliable virtual communication. Beyond basic meetings, Webex supports large-scale webinars and virtual events with registration, polling, and attendee analytics. This makes it valuable for marketing teams running lead-generation webinars, HR departments conducting training sessions, and sales teams hosting product demos. At Osher, we integrate Webex into automated workflows using n8n so that meeting data, registrations, and recordings flow into your CRM, project management tools, or marketing platforms without manual effort. For example, webinar registrations can automatically create contacts in your CRM, trigger follow-up email sequences, and update reporting dashboards. Learn more about how we connect communication tools on our system integrations page. If your team is spending time manually transferring meeting notes, attendee lists, or event data between Webex and other systems, we can automate those handoffs and give your team that time back.
    Webex by Cisco consultants
  • Adalo

    Adalo

    Adalo is a no-code application builder that lets teams create native mobile and web apps without writing a single line of code. It offers drag-and-drop design, built-in databases, and pre-made components that speed up app development for startups, small businesses, and internal teams who need custom tools fast. For businesses already using automation platforms like n8n, Adalo slots in as the front-end layer. You can connect Adalo apps to backend workflows, push data between systems, and trigger automations from in-app actions. This makes it a practical choice for teams that want a polished user interface without the cost of a full development team. At Osher, we help businesses connect Adalo to their existing tech stack through system integrations and custom AI development. Whether you need a client portal, internal reporting app, or field service tool, we build the workflows that make your Adalo app actually useful — not just pretty. If you are running a no-code app and want it to do more than collect dust, our team can wire it into your CRM, databases, and automation pipelines so everything talks to each other properly.
    Adalo consultants