Customer Support & Help Desk

  • Fluent Support

    Fluent Support

    Fluent Support is a WordPress-native helpdesk and customer support ticket system that runs entirely within your WordPress installation. Unlike SaaS helpdesk tools like Zendesk or Freshdesk that charge per-agent monthly fees, Fluent Support is a one-time purchase plugin that stores all your support data in your own WordPress database. For businesses already running WordPress, this means your support system lives alongside your website without adding another monthly subscription to the stack. The plugin handles ticket management, agent assignment, customer communication, saved replies, and basic reporting. It integrates with other popular WordPress plugins like WooCommerce, Easy Digital Downloads, and FluentCRM, so you can see a customer’s purchase history and profile data directly within their support ticket. This context helps your support team resolve issues faster without switching between tabs to piece together customer information. From an automation perspective, Fluent Support’s WordPress-native architecture means you can extend it with hooks, REST API calls, and connections to workflow tools like n8n. Common automations include routing tickets based on keywords or customer segments, escalating overdue tickets, syncing support data with external CRMs, and triggering AI-powered response suggestions for repetitive enquiries. These automations turn a basic ticket system into an intelligent support operation. We have worked with businesses that grew from a shared inbox to a proper helpdesk system and saw immediate improvements in response times and customer satisfaction. If you are running a WordPress-based business and your support process currently relies on email or a plugin that has outgrown its usefulness, Fluent Support combined with proper automation workflows gives you a capable helpdesk without the ongoing SaaS costs. For teams that need deeper system integrations, the WordPress REST API makes Fluent Support data accessible to any external tool.
  • Bandwidth

    Bandwidth

    Bandwidth is a communications platform-as-a-service (CPaaS) provider that gives businesses programmable APIs for voice calls, SMS/MMS messaging, and emergency services. If your organisation relies on phone-based customer interactions or needs to embed calling and texting directly into internal tools, Bandwidth provides the underlying infrastructure without forcing you onto a rigid off-the-shelf product. The real value for Australian businesses comes when Bandwidth is connected to the rest of your tech stack. Rather than having communication data sit in isolation, you can pipe call logs, message transcripts, and delivery receipts straight into your CRM, helpdesk, or data processing workflows. This turns raw communications into structured records your team can actually act on. Where things get particularly useful is pairing Bandwidth with AI agents that can handle inbound enquiries, route calls based on intent, or trigger follow-up messages automatically. We have seen businesses cut their average response time significantly by letting automation handle the first layer of communication triage. For teams already using n8n or similar workflow tools, Bandwidth slots in as a node that handles the telephony side of things. If you are running a support team, sales operation, or any process that depends on reliable voice and messaging, Bandwidth is worth evaluating as the backbone. The challenge is usually not the tool itself but designing the integration properly, which is where experienced integration work makes the difference.
  • Zoho Desk

    Zoho Desk

    Zoho Desk is a customer support ticketing platform that organises enquiries from email, chat, phone, social media, and web forms into a single help desk. For businesses whose support team is juggling multiple inboxes and losing track of issues, Zoho Desk brings structure to the chaos. Tickets get tracked, assigned, prioritised, and resolved with full visibility for managers and agents. What makes Zoho Desk practical for growing businesses is its tiered pricing and deep integration with the broader Zoho ecosystem. If you already use Zoho CRM or Zoho Analytics, data flows between them natively. Support agents see customer purchase history and previous interactions without switching tools. For businesses outside the Zoho ecosystem, it works well standalone with solid API access for external connections. Automation capabilities handle common support workflows — ticket assignment based on topic, SLA escalation rules, automated responses for routine enquiries, and satisfaction survey triggers after resolution. For teams needing more sophisticated automation spanning multiple systems, our business automation team connects Zoho Desk to external workflow platforms. At Osher, we have helped support teams reduce response times by properly configuring Zoho Desk and connecting it to business systems. The pattern we see most often is businesses using Zoho Desk at a fraction of its capability. Getting the configuration and integrations right turns it from a ticket inbox into a genuine support operations platform.
  • Occasion

    Occasion

    Occasion is an online booking and scheduling platform designed for businesses that sell experiences, classes, tours, and activities. If your business runs events that customers book and pay for — cooking classes, guided tours, fitness sessions, workshops — Occasion handles the booking flow from start to finish including scheduling, payments, waivers, and attendee management. What sets Occasion apart from simpler booking tools is its support for complex scheduling: recurring events, multi-session packages, capacity limits, waitlists, and add-on purchases. The embeddable booking widget sits on your existing website so customers never leave your domain to complete a reservation. Where Occasion fits into a broader automation strategy is in the data it generates. Every booking creates customer contact information, payment records, and attendance data that can feed into your CRM, email marketing, and sales automation workflows. Without integration, that data sits isolated. With proper connections, each booking triggers personalised follow-ups, review requests, and loyalty programme updates automatically. Our team at Osher helps experience-based businesses connect Occasion to the rest of their tech stack. We have seen businesses manually exporting booking data into spreadsheets every week — that is exactly the kind of repetitive process our business automation work eliminates. When bookings, payments, and customer communications flow together automatically, your team focuses on delivering great experiences instead of admin.
  • Survicate

    Survicate

    Survicate is a customer feedback and survey platform that lets you collect responses through website widgets, email surveys, in-app prompts, and mobile surveys. It is designed for product, marketing, and customer success teams who need ongoing feedback rather than one-off survey blasts. What makes Survicate practical for businesses is its targeting and triggering capabilities. Instead of showing the same survey to every visitor, you can target specific user segments based on behaviour, page visits, or customer attributes. This means you get more relevant feedback with higher response rates because you are asking the right questions to the right people at the right time. At Osher, we help businesses connect Survicate feedback data to their broader analytics and operational systems. This includes pushing survey responses to your CRM to enrich customer profiles, triggering follow-up workflows based on feedback scores, and building dashboards that combine survey data with other business metrics. Our automated data processing services turn raw feedback into actionable insights. See our patient data entry case study for an example of how we automate data collection workflows. Survicate supports NPS, CSAT, CES, and custom survey types with skip logic, conditional questions, and multi-language support. For Australian businesses that want to build a continuous feedback loop into their customer experience without bolting on a heavy enterprise survey tool, Survicate hits a good balance of features and usability.
  • Crisp

    Crisp

    Crisp is a customer communication platform that brings live chat, email, chatbots, and a shared team inbox into a single interface. For businesses handling customer enquiries across multiple channels, Crisp removes the friction of switching between tools and gives support teams a unified view of every conversation. It is well-suited to small and mid-sized businesses that need professional customer engagement without the complexity of enterprise helpdesk platforms. Where Crisp becomes more powerful is when it connects to the rest of your business systems. By integrating Crisp with your CRM, ticketing tools, or business automation workflows, you can route conversations intelligently, log interactions automatically, and trigger follow-up actions without manual effort. A new chat from a returning customer can pull up their history, assign to the right team member, and create a task in your project management tool — all in seconds. The platform includes a chatbot builder that handles common questions without human involvement, freeing your team for enquiries that need a person. Combined with AI agent capabilities, you can build conversation flows that qualify leads, book meetings, or escalate issues based on what the customer says — not just keyword matching, but context-aware routing. Our team at Osher has helped businesses connect Crisp to their broader tech stack, turning it from a standalone chat widget into a central piece of their customer engagement pipeline. If your support team is drowning in repetitive enquiries or leads are slipping through the cracks, Crisp integrated properly makes a real difference.
  • Chatrace

    Chatrace

    Chatrace is a chatbot and messaging automation platform designed for customer support and marketing across channels like Facebook Messenger, Instagram, and web chat. It lets businesses build conversational flows without coding, handling everything from lead qualification to support ticket routing. The real value of Chatrace shows up when you connect it to the rest of your business systems. Instead of treating it as a standalone chatbot, you can feed customer interactions into your CRM, trigger follow-up workflows, and route complex queries to human agents — all automatically. This means your support team handles fewer repetitive questions while customers get faster responses. At Osher, we help businesses integrate Chatrace with their existing tools using workflow automation platforms like n8n. Whether you need chatbot conversations to update customer records, trigger email sequences, or escalate to a ticketing system, we build the connections that make your messaging channels work as part of a larger business automation strategy. See how we approach similar work in our talent marketplace case study. Chatrace supports multi-channel deployment, audience segmentation, and broadcast messaging. For businesses fielding high volumes of customer enquiries, it reduces response times and frees up staff for conversations that actually need a human touch.
  • Landbot

    Landbot

    Landbot is a no-code chatbot builder that lets businesses create conversational experiences for websites, WhatsApp, and Facebook Messenger. Instead of static forms or traditional live chat, Landbot turns interactions into guided conversations that qualify leads, answer common questions, book appointments, and route enquiries — all without writing code. For Australian businesses that want to capture and qualify leads around the clock, Landbot offers a practical alternative to relying solely on contact forms or office-hours-only live chat. A well-built chatbot can handle the repetitive questions your sales team answers daily, freeing them to focus on prospects who are ready to talk. Landbot supports conditional branching, variable storage, API integrations, and handoff to live agents when the conversation requires a human touch. This means your chatbot can collect information, check it against your systems, and make decisions about how to route each enquiry — all within the conversation flow. Our AI agent development team can help you design chatbot flows that go beyond basic FAQ responses. By integrating Landbot with your CRM, calendar, and sales automation workflows, we build conversational experiences that actually move leads through your pipeline rather than just collecting email addresses.
  • Botbaba

    Botbaba

    Botbaba is a no-code chatbot builder that lets businesses create conversational bots for customer support, lead generation, and marketing without writing a line of code. Botbaba provides a visual flow editor where you map out conversation paths, set up conditional logic, and connect to external services through webhooks and integrations. For businesses fielding repetitive enquiries—pricing questions, appointment requests, product recommendations, or basic troubleshooting—Botbaba handles the front line. It qualifies leads before they reach your sales team, answers common questions instantly, and routes complex issues to the right human. This means your team spends time on conversations that actually need them. Botbaba becomes significantly more useful when connected to your broader tech stack. Paired with AI agents and workflow automation, chatbot conversations can trigger CRM updates, schedule meetings, process orders, and kick off onboarding sequences automatically. Our team has built chatbot integrations that turn a simple website widget into the entry point for sophisticated multi-step business processes. If you are evaluating chatbot platforms, Botbaba’s strength is accessibility—your marketing or support team can build and iterate on conversation flows without depending on developers. When you need it to do more than chat, that is where custom integration work extends its capabilities into genuine business automation.
  • SMS Magic

    SMS Magic

    SMS Magic is a business messaging platform that lets organisations send, receive, and automate text messages directly from their CRM and other business systems. Built for sales, marketing, and support teams, SMS Magic handles everything from one-to-one conversations to bulk campaigns across SMS, MMS, and popular messaging apps like WhatsApp and Facebook Messenger. The platform matters because text messages still get opened at dramatically higher rates than email. For businesses running lead nurture sequences, appointment reminders, or customer support workflows, SMS Magic provides the infrastructure to reach people on the channel they actually check. It integrates natively with Salesforce, Zoho, and other major CRMs, so messages tie back to contact records automatically. Where SMS Magic becomes genuinely powerful is when it slots into a broader automation stack. Connected through workflow automation, you can trigger personalised messages based on CRM events, route replies to the right team, and escalate conversations that need human attention. Our sales automation team has helped businesses build messaging workflows that handle initial outreach, qualification, and follow-up without reps manually sending each text. If your team is still copying and pasting messages or toggling between their phone and CRM, SMS Magic integrated properly into your stack removes that friction and ensures no conversation falls through the cracks.
  • Planyo Online Booking

    Planyo Online Booking

    Planyo is an online booking and reservation system built for businesses that manage scheduled resources—whether that is rental equipment, service appointments, accommodation, tours, or event spaces. Planyo handles availability calendars, payment processing, customer notifications, and booking management through a flexible platform that adapts to surprisingly varied use cases. What sets Planyo apart from simpler booking widgets is its depth. It supports complex pricing rules, seasonal rates, resource dependencies, and multi-location management. For businesses that have outgrown basic scheduling tools but don’t need a full enterprise resource planning system, Planyo fills that middle ground well. The real value comes when Planyo connects to the rest of your business systems. Integrated with your CRM, accounting software, and communication tools through workflow automation, bookings can trigger invoices, update customer records, send confirmation sequences, and notify staff—all without someone manually copying data between systems. Our integration team has connected Planyo to everything from Xero to custom internal platforms. If your team spends hours each week manually managing bookings, chasing payments, or updating spreadsheets with reservation details, Planyo integrated into an automated workflow can reclaim that time and reduce the booking errors that cost you customers.
  • OpenAI Assistant

    OpenAI Assistant

    The OpenAI Assistant node in n8n connects your workflows to OpenAI’s Assistants API, giving you access to persistent, stateful AI assistants that can use tools, retrieve files, and maintain conversation context across interactions. Unlike a simple ChatGPT API call that processes one message at a time, Assistants remember previous messages in a thread, can search through uploaded documents, and execute code — all managed by OpenAI’s infrastructure. This changes what you can build with n8n significantly. Instead of stitching together memory management, document retrieval, and tool calling manually across dozens of nodes, the OpenAI Assistant handles that complexity as a single managed service. You upload your documents, define the assistant’s instructions and tools, and the API handles context windows, retrieval ranking, and conversation threading automatically. For businesses building AI agents that need to reference company documents, answer questions from knowledge bases, or perform multi-step reasoning tasks, this node offers a streamlined path. Customer support agents that search policy documents, internal assistants that answer HR questions from handbooks, and research tools that analyse uploaded reports are all practical applications. Our team built a similar document-aware assistant when developing an AI medical document classification system that needed to process and reason about clinical documents accurately. If you are evaluating whether to build your own agent framework or use OpenAI’s managed Assistants API, our AI development team can help you assess the trade-offs for your specific use case — including cost, control, latency, and data privacy considerations.
  • Twilio Trigger

    Twilio Trigger

    Twilio Trigger is an n8n node that starts a workflow whenever a Twilio event occurs — an incoming SMS, a phone call, a WhatsApp message, or a voice call status change. It turns your n8n instance into a real-time communication processor, reacting to customer messages the moment they arrive rather than polling for updates on a schedule. Businesses use this trigger to build responsive customer interactions without custom server code. When a customer texts your Twilio number, the trigger fires immediately and your workflow takes over — routing the message to the right team, sending an automated reply, logging the interaction in your CRM, or passing the message to an AI agent for intelligent response generation. The same applies to inbound calls, voicemail notifications, and WhatsApp conversations. For companies handling customer inquiries via SMS or WhatsApp, Twilio Trigger is the entry point for building AI-powered agents that respond in seconds rather than hours. Our team has built Twilio-triggered workflows for appointment confirmations, support ticket creation, lead qualification, and two-way conversational AI. Combined with business automation downstream, you can handle a significant volume of customer communications without adding headcount — each message gets processed, categorised, and routed automatically.
  • Manual Chat Trigger

    The Manual Chat Trigger node in n8n lets you build interactive chat interfaces that connect directly to your automation workflows. Rather than relying on third-party chatbot platforms with rigid templates, this node gives you full control over how conversations start, how messages get routed, and what happens next in your pipeline. It is particularly useful for businesses that need a lightweight, self-hosted chat entry point without the overhead of a full conversational AI platform. Customer support teams often struggle with disconnected tools — a chatbot here, a ticketing system there, and a CRM somewhere else. The Manual Chat Trigger bridges that gap by letting you capture chat inputs and feed them straight into workflows that create tickets, look up customer records, or route queries to the right department. You define the logic, not a vendor’s pre-built decision tree. For AI-powered use cases, this node pairs well with language model nodes like OpenAI or Claude to build custom AI agents that respond to user queries in real time. You can chain it with memory nodes, vector stores, and external APIs to create context-aware assistants tailored to your business domain. Teams running internal help desks or client-facing support portals find this approach far more flexible than off-the-shelf solutions. If you need help designing chat-driven workflows that actually solve problems, our n8n consulting team can architect a solution that fits your stack and scales with your team.
  • Azure OpenAI Chat Model

    Azure OpenAI Chat Model

    Azure OpenAI Chat Model is an n8n AI node that connects workflows to OpenAI’s GPT models hosted on Microsoft Azure. Instead of calling OpenAI’s API directly, you route requests through your own Azure subscription — giving you enterprise-grade security, data residency controls, and the ability to use private networking to keep AI traffic off the public internet. For organisations that already run on Azure or have compliance requirements around where their data is processed, this node is the practical way to use GPT models within n8n. You get the same model capabilities as the standard OpenAI node, but with Azure’s identity management, network isolation, and regional deployment options. Your data stays within your Azure tenant and doesn’t flow through OpenAI’s infrastructure. Our custom AI development team at Osher Digital recommends Azure OpenAI for clients in regulated industries — healthcare, financial services, and government — where data handling requirements rule out sending information to third-party APIs. We’ve used it for projects involving sensitive document processing, similar to our medical document classification work, where data sovereignty was a firm requirement. Our AI consulting team helps clients decide between Azure OpenAI, direct OpenAI, and self-hosted alternatives based on their specific compliance needs.
  • Mistral Cloud Chat Model

    Mistral Cloud Chat Model

    Mistral Cloud Chat Model is an n8n AI node that connects workflows to Mistral AI’s hosted language models. Mistral has earned a reputation for producing compact, efficient models that punch above their weight — offering strong performance at lower cost and faster inference speeds than many competitors. The cloud chat model node gives you access to these models via Mistral’s API. For businesses building AI-powered workflows where speed and cost matter, Mistral is worth serious consideration. Models like Mistral Large and Mixtral handle complex reasoning tasks well, while smaller variants like Mistral Small deliver fast, affordable responses for simpler tasks like classification and routing. This flexibility means you can match the model to the job instead of paying for more capability than you need. Our AI agent development team at Osher Digital often uses Mistral models for specific nodes within larger workflows. For example, using Mistral Small for initial email classification (fast and cheap) before routing complex queries to a more capable model for detailed response generation. This multi-model approach keeps costs down without sacrificing quality where it counts. Our AI consulting team helps clients design these tiered architectures based on real performance benchmarks against their actual data.
  • Question and Answer Chain

    Question and Answer Chain

    Question and Answer Chain is an n8n AI node that connects a language model to a knowledge base, enabling it to answer questions based on your own documents and data. Rather than relying on the model’s general training, the chain retrieves relevant context from your vector store or document collection and feeds it to the LLM alongside the user’s question — a pattern known as Retrieval-Augmented Generation (RAG). This is the foundation for building internal knowledge bots, customer support assistants, and document Q&A systems. Instead of employees searching through PDFs, wikis, or shared drives, they ask a question in plain language and get an accurate answer grounded in your actual content. The chain handles the retrieval, context assembly, and response generation in a single workflow step. At Osher Digital, we use the Question and Answer Chain node as a core building block for RAG-based AI agents. For one client, we built a medical document classification system that answers clinician queries against a library of clinical guidelines — detailed in our AI medical document classification case study. Our custom AI development team configures the chain with the right retrieval strategy, prompt templates, and model settings for each use case.
  • 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.
  • Redis Chat Memory

    Redis Chat Memory

    The Redis Chat Memory node gives your n8n AI workflows persistent conversation memory using Redis as the storage backend. When you build chatbots or AI agents, the language model has no built-in memory between requests — every interaction starts fresh. This node solves that by storing and retrieving conversation history from Redis, so your AI can reference what was said earlier in the conversation and respond with full context. Redis is a natural fit for chat memory because it is fast, lightweight, and designed for exactly this kind of ephemeral-but-important data. Conversation histories do not need the overhead of a relational database, but they do need low-latency read and write access. Redis delivers sub-millisecond response times, which means your AI agent can load a full conversation history without adding noticeable delay to the user experience. For Australian businesses deploying AI agents for customer support, internal helpdesks, or sales qualification, conversation memory is not optional — it is what separates a useful assistant from a frustrating one. Customers expect the AI to remember their name, their issue, and what has already been discussed. The Redis Chat Memory node makes this work reliably, even across multiple workflow executions and server restarts. The node supports session-based memory with configurable keys, so you can maintain separate conversation threads for different users, channels, or topics. Set a TTL (time to live) to automatically expire old conversations and keep your Redis instance lean. It integrates directly with n8n’s AI agent and chain nodes, requiring minimal configuration to add persistent memory to any conversational workflow.
  • 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.
  • Chat Trigger

    The n8n Chat Trigger node lets you kick off automated workflows the moment a user sends a message through a chat interface. Rather than polling for updates or relying on manual checks, Chat Trigger listens for incoming messages in real time and fires your workflow instantly. It sits at the start of any conversational automation you build in n8n, acting as the entry point for everything from customer support bots to internal helpdesk assistants. For businesses handling high volumes of customer enquiries, Chat Trigger removes the bottleneck of manual triage. Incoming messages hit your workflow, get routed through logic branches, and reach the right team or AI agent without anyone copying and pasting between systems. We have seen this pattern work well for healthcare intake workflows and application processing pipelines where speed matters. Chat Trigger pairs naturally with AI model nodes like OpenAI or Google Gemini to build conversational agents that actually do things — look up orders, update CRM records, or escalate to a human when the question falls outside the model’s scope. The node supports both webhook-based and embedded chat widget setups, so you can connect it to your website, Slack workspace, or any platform that sends HTTP requests. If you need help designing a chat automation that handles real conversations without falling apart at edge cases, our AI agent development team can scope and build it with you.
  • 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.
  • Brevo Trigger

    Brevo Trigger

    Brevo Trigger lets you fire n8n workflows automatically whenever specific events occur in your Brevo (formerly Sendinblue) account. Instead of manually checking for new contacts, unsubscribes, or email interactions, this trigger node listens for those events in real time and kicks off whatever automation you need — whether that’s updating a CRM, sending a follow-up message, or alerting your sales team. For marketing teams, Brevo Trigger is the bridge between your email campaigns and the rest of your tech stack. When a lead opens a key email or clicks through to your pricing page, you can instantly route that signal to your sales automation workflows. When someone unsubscribes, you can trigger a data cleanup across connected platforms. It turns Brevo from a standalone email tool into a real-time event source for your entire business. We’ve helped several clients connect Brevo with their broader automation infrastructure using n8n. The trigger node is particularly powerful when combined with conditional logic — for example, routing high-intent email interactions to a sales team Slack channel while logging everything else to a tracking spreadsheet. If you’re already using Brevo for email marketing, this node unlocks the ability to act on subscriber behaviour the moment it happens, rather than reviewing reports hours later.
  • Customer.io Trigger

    Customer.io Trigger

    Customer.io Trigger starts an n8n workflow whenever a specified event occurs in Customer.io — an email is opened, a user completes a campaign, a segment condition is met, or a custom event fires. It gives you real-time access to customer engagement signals that you can act on immediately across your entire tech stack. The most practical application is closing the loop between marketing and operations. When a trial user hits a usage milestone tracked in Customer.io, the trigger fires and n8n can instantly update their CRM record, alert the account manager, and adjust their onboarding sequence. When someone unsubscribes, the trigger can cascade that preference to every other system that sends them communications, keeping you compliant without manual data hygiene. What makes this trigger particularly useful is the richness of Customer.io’s event data. You are not just getting “something happened” — you get the full context: which campaign, what segment, what the user did, and their profile data. n8n can use all of that to make intelligent routing decisions downstream. We have built similar event-driven customer workflows for clients who needed real-time responses to user behaviour. If your Customer.io data is sitting in a silo and your team is manually reacting to engagement signals, connecting the trigger to n8n lets you automate those responses. Our AI agent development team can help you build intelligent workflows that respond to customer behaviour at the speed your users expect.
  • Autopilot Trigger

    Autopilot Trigger

    Autopilot Trigger lets you kick off n8n workflows whenever something happens inside Autopilot — a contact gets added, a journey stage changes, or a lead hits a scoring threshold. Instead of polling or manually exporting lists, the trigger fires in real time and passes the event data straight into your automation pipeline. For marketing and customer success teams juggling multiple channels, this removes a lot of the duct tape. You can route new leads into your CRM, fire off personalised Slack alerts to sales reps, or sync contact updates to your data warehouse without anyone copying and pasting between tabs. The trigger handles the listening; n8n handles everything that comes after. Where it gets genuinely useful is when you pair it with other nodes. A contact completes a journey in Autopilot, the trigger catches it, n8n enriches the record with data from your CRM, scores it against your qualification criteria, and routes it to the right team — all without human intervention. We have built similar marketing-to-sales handoff workflows for clients who were losing leads in the gap between platforms. If your team relies on Autopilot for customer journeys but finds the native integrations limiting, connecting it through n8n via this trigger opens up far more flexibility. Our n8n consulting team can help you design trigger-based workflows that actually match how your marketing operation works in practice.
  • Disqus

    Disqus

    Disqus is a comment hosting and community engagement platform used by publishers, blogs, and content-driven websites to manage reader discussions. It replaces basic built-in commenting systems with a feature-rich alternative that includes threaded conversations, moderation tools, spam filtering, user profiles, and analytics — all without requiring custom development. Content teams, community managers, and website operators use Disqus to encourage reader engagement while keeping comment sections clean and manageable. The platform handles the heavy lifting of spam detection and moderation, and its centralised dashboard gives moderators visibility across all comment threads from a single interface. Osher integrates Disqus into broader content and community workflows using n8n. We build automations that route new comments to moderation queues in Slack or Teams, trigger notifications when specific topics or keywords appear, sync commenter data with CRM or email platforms, and compile engagement metrics into reporting dashboards. If reader engagement is a meaningful part of your business, we make sure it connects to everything else. Learn more about our system integration services or see how we handle automated data processing across platforms.
  • 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.
  • Mocean

    Mocean

    Mocean is a cloud communications API platform that enables businesses to send and receive SMS, voice calls, and verification messages programmatically. It provides a straightforward API for integrating messaging capabilities into applications, workflows, and automated processes — without the complexity of building carrier-level infrastructure from scratch. Development teams, operations managers, and customer-facing businesses use Mocean to power transactional SMS (order confirmations, appointment reminders, OTP codes), voice notifications, and two-way messaging. Its API-first design makes it a practical choice for businesses that need messaging baked into their systems rather than sent manually from a web dashboard. At Osher, we integrate Mocean into automated workflows using n8n, turning messaging into a seamless part of your business processes. Order confirmations go out the moment a purchase is completed. Appointment reminders are sent at configurable intervals. Verification codes are generated and delivered without developer involvement each time. We connect Mocean to your CRM, booking system, or custom application so messaging happens automatically at exactly the right moment. Learn more about our business automation services or see how we approach custom development projects.
  • Agile CRM

    Agile CRM

    Agile CRM is an all-in-one customer relationship management platform that combines sales, marketing, and customer support features into a single tool. It is popular with small and mid-sized businesses that want CRM, email marketing, help desk, and web analytics without paying for separate platforms. Agile CRM covers contact management, deal tracking, campaign automation, and ticket management in one interface. The challenge with Agile CRM is that while it tries to do everything, businesses often still use specialised tools for specific functions — a dedicated help desk, a separate email platform, or an external analytics tool. When data lives in Agile CRM and also in three other systems, your team wastes time switching between tools and manually keeping records in sync. Osher integrates Agile CRM with your broader tech stack using n8n workflows. We build automations that sync contacts bidirectionally between Agile CRM and other platforms, push support ticket updates to Slack, trigger marketing campaigns based on deal stage changes, and consolidate customer data from multiple sources into Agile CRM automatically. The result is a CRM that stays up to date without manual data entry and works as a true single source of truth for your customer relationships. If your CRM data is scattered across multiple tools, our system integration services and sales automation expertise can help you bring it all together.
  • MSG91

    MSG91

    MSG91 is a cloud communication platform that provides SMS, email, voice, and WhatsApp messaging APIs for businesses. It is widely used by companies in Australia, India, and Southeast Asia for transactional messaging — OTP verification, order confirmations, delivery updates, appointment reminders, and marketing campaigns. MSG91 handles the delivery infrastructure so your development team can focus on building the product. The problem most businesses face with messaging is not sending a single SMS — it is orchestrating messages across multiple channels based on real-time events. A customer places an order, and they need an email confirmation, an SMS with tracking, and a WhatsApp update when it ships. When these are triggered manually or through disconnected systems, messages arrive late, get duplicated, or do not go out at all. Osher integrates MSG91 with your order management, CRM, support, and internal systems using n8n workflows. We build automations that trigger the right message on the right channel at the right time — OTP codes sent instantly on sign-up, delivery updates pushed via WhatsApp when shipping status changes, and appointment reminders sent 24 hours before a booking. Multi-channel messaging becomes a single automated workflow instead of a collection of manual triggers. If your customer communication involves multiple channels and manual coordination, our custom development services and business automation solutions can help you build a messaging system that runs itself.
  • HaloPSA

    HaloPSA

    HaloPSA is a professional services automation platform built for managed service providers (MSPs) and IT service companies. It combines ticketing, time tracking, billing, project management, CRM, and reporting into a single system, replacing the patchwork of separate tools that many IT businesses rely on. IT service providers use HaloPSA to manage the full lifecycle of client support — from initial ticket creation through to resolution, time logging, and invoicing. The platform also handles SLA tracking, asset management, and client-facing portals, making it a central hub for service delivery operations. At Osher, we integrate HaloPSA with your other business systems using n8n so that data flows automatically between your PSA, accounting software, monitoring tools, and communication platforms. For example, when a critical alert fires in your monitoring system, we can automatically create a HaloPSA ticket, assign it to the right technician, and notify the client — all without anyone lifting a finger. Learn more on our business automation page. If your IT service team is spending too much time on admin — manually creating tickets, chasing timesheets, or reconciling invoices — a HaloPSA integration can automate those tasks and free your technicians to focus on actual service delivery.
  • 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.
  • Google Perspective

    Google Perspective

    Google Perspective API uses machine learning to score text for toxicity, threats, insults, and other attributes that signal abusive content. It is used by publishers, community platforms, and support teams to automatically flag or filter harmful comments before they reach real people. For businesses handling customer interactions at scale — support tickets, reviews, community forums, or social comments — Perspective API adds a layer of automated moderation. Instead of relying on staff to manually read every message, you can route flagged content for human review and let clean messages flow through untouched. At Osher, we integrate Google Perspective into customer support and content moderation workflows using AI agent development and automated data processing pipelines. We have built similar content classification systems for clients in healthcare and professional services — see how we approached AI-powered document classification for a medical provider. If your team is spending hours moderating content or you are worried about harmful messages slipping through, automated toxicity scoring can cut that workload significantly while keeping your community safe.
  • AWS Comprehend

    AWS Comprehend

    AWS Comprehend is Amazon’s natural language processing (NLP) service that extracts meaning from text at scale. It detects sentiment, identifies key phrases, recognises entities (people, places, organisations), classifies documents, and supports topic modelling — all through API calls without needing to train your own models. Businesses use Comprehend to process customer feedback, analyse support tickets, sort documents, and extract structured data from unstructured text. If you are dealing with thousands of emails, survey responses, or documents every month, Comprehend turns that wall of text into data you can actually act on. At Osher, we build AWS Comprehend into automated data processing pipelines and AI agent workflows. We have delivered similar NLP-driven classification projects — like our work on AI medical document classification for a healthcare provider and automating patient data entry from unstructured clinical notes. If your team is manually reading and categorising text, or you are sitting on customer feedback data that nobody has time to analyse, Comprehend can handle the heavy lifting while your people focus on decisions, not data entry.
  • HelpScout Trigger

    HelpScout Trigger

    HelpScout Trigger fires when events happen in your HelpScout helpdesk — new conversations, customer replies, status changes, tag additions, or assignment updates. It pushes that event data into your automation platform in real time, so your support workflows can extend beyond HelpScout into your CRM, project management tools, and internal systems. For support teams handling high ticket volumes, the trigger eliminates the gap between what happens in your helpdesk and what happens everywhere else. When a VIP customer submits a ticket, your sales team can be notified instantly. When a conversation is tagged as a bug report, it can create a task in your development tracker automatically. When a ticket is resolved, your CRM can update the customer record without anyone copying data manually. At Osher, we integrate HelpScout into broader business workflows through system integrations and robotic process automation. We build the automation logic that turns support interactions into coordinated actions across your entire tech stack. If your support team is toggling between HelpScout and five other tools to keep records updated, that context-switching is costing you time and causing data to fall through the cracks.
  • Plivo

    Plivo

    Plivo is a cloud communications platform that provides voice calling and SMS APIs for businesses. It lets developers embed phone calls, text messages, and IVR (interactive voice response) systems directly into applications — without managing telephony infrastructure. Customer support teams, sales operations, and product developers use Plivo to send transactional SMS (order confirmations, appointment reminders, two-factor authentication), run outbound calling campaigns, and build phone-based support flows. It is a popular choice for businesses that need programmable communications at scale. Osher integrates Plivo with your business systems using n8n workflows. Instead of sending SMS manually or building custom code for every notification, we connect Plivo to your CRM, booking system, or helpdesk so messages go out automatically when events happen — a new booking, a support ticket update, or a payment confirmation. Our RPA services use Plivo as part of larger process automations where SMS or voice is the final delivery step. If your team is sending messages manually or your current notification system is unreliable, get in touch to discuss Plivo automation.