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Data & Analytics

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

  • 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
  • PostHog

    PostHog

    PostHog is an open-source product analytics platform that gives engineering and product teams full visibility into how users interact with their software. It covers event tracking, session recordings, feature flags, A/B testing, and funnel analysis — all self-hostable so your data stays on your own infrastructure. If you are tired of sending user behaviour data to third-party analytics vendors, PostHog lets you keep everything in-house. Product-led SaaS companies, developer tool makers, and data-conscious startups are PostHogs core audience. The platform is particularly popular with teams that want granular control over their analytics pipeline without being locked into proprietary tools. Its open-source model means you can inspect the code, extend it, and deploy it however you like. At Osher, we integrate PostHog into broader data and automation workflows using n8n. That could mean piping product usage events into a CRM for sales follow-up, triggering alerts when key metrics drop, or feeding PostHog data into custom dashboards. We built a similar data pipeline for an insurance tech company that needed real-time data processing across multiple sources. If your product team needs better analytics without handing data to a third party, our data processing and system integration teams can set up PostHog and connect it to your existing stack.
    PostHog consultants
  • Microsoft Graph Security

    Microsoft Graph Security

    Microsoft Graph Security is a unified API that aggregates security alerts and threat intelligence from Microsoft’s security products — including Microsoft Defender, Azure Sentinel, and Intune — into a single interface. It gives IT and security teams a centralised way to query, manage, and respond to security events across their Microsoft ecosystem. The problem for most security teams is not a lack of alerts — it is too many of them. Security events pour in from multiple sources, each with different severity levels and formats. Analysts spend their time triaging alerts manually, copying data between tools, and chasing false positives instead of responding to real threats. When response time matters, manual processes are a liability. Osher connects Microsoft Graph Security to your incident response workflow using n8n. We build automations that filter and prioritise alerts based on severity, route critical events to the right team via Slack or PagerDuty, enrich alerts with context from other data sources, and create tickets in your ITSM tool automatically. This means your security team spends less time triaging and more time responding to the threats that actually matter. If your security operations involve too much manual alert handling, our AI agent development services and automated data processing workflows can help you build a faster, smarter response pipeline. We have experience building similar data pipelines for clients like the insurance tech company that needed real-time data processing from BOM.
    Microsoft Graph Security 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
  • AWS Rekognition

    AWS Rekognition

    AWS Rekognition is a cloud-based image and video analysis service from Amazon Web Services that uses machine learning to identify objects, people, text, scenes, and activities in visual content. It also provides facial analysis, face comparison, and content moderation capabilities — all accessible through a straightforward API. Businesses use AWS Rekognition for a wide range of applications: automating image moderation on user-generated content platforms, extracting text from scanned documents, verifying identities through facial comparison, analysing security footage, and categorising product images for e-commerce catalogues. At Osher, we integrate AWS Rekognition into n8n workflows that process visual content automatically. For example, when a new image is uploaded to your system, a workflow can analyse it with Rekognition, extract relevant metadata, moderate the content, and route the results to your database or notification system. We have built similar AI-powered document processing pipelines — see our medical document classification case study for an example. Learn more about our approach on our AI agent development page. If your team is manually reviewing images, categorising visual content, or extracting information from photos and scanned documents, AWS Rekognition combined with automated workflows can handle that work faster and more consistently.
    AWS Rekognition consultants
  • Marketstack

    Marketstack

    Marketstack is a REST API that provides real-time, intraday, and historical stock market data for over 70 global exchanges. It covers stock prices, end-of-day data, splits, dividends, and ticker information — all accessible through a simple API that developers can integrate into financial applications, dashboards, and automated workflows. Financial analysts, fintech startups, portfolio managers, and data teams use Marketstack to pull market data into their applications without building complex exchange connections. It supports major exchanges including ASX, NYSE, NASDAQ, and LSE, making it a practical choice for Australian businesses that need both local and international market data. At Osher, we integrate Marketstack into n8n workflows that automate financial data collection and reporting. For example, a workflow can pull daily closing prices for a watchlist of stocks, compare them against thresholds, and send alerts or update dashboards automatically. This is especially useful for teams that need timely market data without manually checking multiple sources. Visit our automated data processing page to see how we build data pipelines like this. If your team is manually pulling stock data from websites, copying it into spreadsheets, or building reports by hand, a Marketstack integration can automate that entire process and deliver the data exactly where you need it.
    Marketstack consultants
  • Oura

    Oura

    Oura is a smart ring and health data platform that tracks sleep quality, heart rate, body temperature, activity levels, and readiness scores. It provides detailed physiological data through a personal dashboard and an API that developers and health-focused businesses can use to integrate biometric data into broader wellness, research, and healthcare applications. Beyond individual health tracking, Oura is used by corporate wellness programmes, clinical research studies, sports performance teams, and healthcare providers who need continuous, passive biometric data collection. The Oura API provides access to daily summaries covering sleep stages, HRV, resting heart rate, and activity metrics. At Osher, we integrate Oura data into automated workflows using n8n so that health metrics can be processed, analysed, and routed to the systems where they are needed. For example, a corporate wellness programme can automatically pull sleep and readiness data for participants, generate weekly reports, and flag individuals who may need support — all without manual data collection. See how we approach healthcare data automation on our patient data entry case study and our automated data processing page. If your organisation collects Oura data for research, wellness, or performance programmes and currently processes it manually, we can build automated pipelines that handle data collection, analysis, and reporting for you.
    Oura consultants
  • Google Ads

    Google Ads

    Google Ads is the dominant pay-per-click advertising platform, used by businesses of every size to run search, display, shopping, and video campaigns across Google’s network. It gives marketers granular control over audience targeting, bid strategies, and budget allocation — but managing campaigns at scale quickly becomes a manual grind of spreadsheet exports, bid adjustments, and reporting. For marketing teams and agencies running dozens or hundreds of campaigns, the real bottleneck is not the platform itself but the repetitive work around it: pulling performance data, pausing underperforming ads, syncing conversion data with your CRM, and generating client reports. These tasks eat hours every week and introduce errors when done by hand. At Osher, we connect Google Ads to your existing tech stack using n8n workflows and custom integrations. That means automatic lead syncing between Google Ads and your CRM, real-time spend alerts piped into Slack, and scheduled performance reports that land in your inbox without anyone lifting a finger. We have helped marketing teams cut their reporting time by building automated pipelines that pull Google Ads data directly into dashboards and data warehouses. If your team is spending more time wrangling Google Ads data than acting on it, our sales automation services and automated data processing workflows can help you get that time back.
    Google Ads consultants
  • 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.
    HaloPSA consultants
  • KoBoToolbox Trigger

    KoBoToolbox Trigger

    KoBoToolbox Trigger is an automation node that fires when new survey submissions arrive in KoBoToolbox — an open-source data collection platform widely used by NGOs, research organisations, humanitarian agencies, and public health teams for field data collection in challenging environments. KoBoToolbox is designed for offline-capable data collection on mobile devices, making it popular for fieldwork in remote areas, disaster response, health surveys, and monitoring and evaluation programmes. The Trigger node allows organisations to react to incoming submissions instantly rather than waiting for manual data exports. At Osher, we connect KoBoToolbox Trigger to n8n workflows that automatically process, validate, and route survey data to your databases, reporting dashboards, or notification systems. For organisations managing large-scale data collection programmes, this eliminates the lag between field data collection and actionable insights. Learn more about how we handle data workflows on our automated data processing page. If your team is manually exporting CSV files from KoBoToolbox and reformatting data for reports or databases, we can automate that entire pipeline — from the moment a survey is submitted in the field to the moment it appears in your reporting dashboard.
    KoBoToolbox Trigger consultants
  • DHL

    DHL

    DHL is one of the world’s largest logistics providers, offering parcel tracking, shipping rate calculation, label generation, and delivery management through their API suite. For e-commerce businesses and companies that ship physical products, the DHL API turns shipping from a manual process into an automated part of your order fulfilment workflow. Instead of logging into DHL portals to create shipments, print labels, and check tracking numbers, you can wire DHL directly into your e-commerce platform, warehouse management system, or order processing workflow. Orders flow in, shipping labels are generated automatically, tracking numbers are sent to customers, and delivery status updates feed back into your systems in real time. At Osher, we integrate DHL shipping into e-commerce and fulfilment workflows through system integrations and business automation. We connect DHL to your order management system, CRM, and customer notification channels so your shipping operations run without manual intervention. If your warehouse team is still copying order details into the DHL portal and manually emailing tracking numbers to customers, that process does not scale. Automation handles it whether you are shipping ten parcels a day or ten thousand.
    DHL consultants
  • 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.
    AWS Comprehend consultants
  • AMQP Trigger

    AMQP Trigger

    AMQP (Advanced Message Queuing Protocol) is an open-standard messaging protocol used for passing messages between applications, services, and systems. The AMQP Trigger node in n8n listens for messages on an AMQP queue and starts a workflow whenever a new message arrives — making it the bridge between your message broker and your automation layer. Development teams, DevOps engineers, and system architects use AMQP-based message brokers like RabbitMQ and ActiveMQ to build reliable, decoupled systems. Messages queue up when services are busy, nothing gets lost during traffic spikes, and different parts of the system can scale independently. Osher uses the AMQP Trigger to connect message-driven architectures to n8n automation workflows. When your application publishes a message — a new order, a data update, a processing request — the AMQP Trigger picks it up and routes it through whatever workflow logic you need: data transformation, API calls to external systems, database updates, or notification delivery. Our system integration services specialise in connecting message brokers to the rest of your tech stack. If your systems use message queues and you need to connect them to business workflows, get in touch to discuss your architecture.
    AMQP Trigger consultants
  • Clearbit

    Clearbit

    Clearbit is a data enrichment and intelligence platform that turns email addresses and domain names into complete company and contact profiles. It fills in the blanks — company size, industry, revenue, job title, location, technology stack — so your sales and marketing teams work with complete data instead of guesswork. Sales teams, marketing operations, and growth teams use Clearbit to qualify leads, personalise outreach, score accounts, and keep CRM data accurate. Instead of manually researching every prospect, Clearbit delivers firmographic and contact data in real time through API calls or direct CRM integrations. Osher integrates Clearbit into your sales and marketing workflows using n8n. When a new lead enters your system — through a form submission, a website visit, or an inbound enquiry — we automatically enrich their profile with Clearbit data, score them against your ideal customer criteria, and route qualified leads to the right sales rep. Our sales automation services use Clearbit as a key component for building intelligent lead qualification pipelines. See how we applied similar data enrichment logic in our talent marketplace case study. If your sales team is wasting time researching leads that should be pre-qualified, contact us to automate your lead enrichment process.
    Clearbit consultants
  • BambooHR

    BambooHR

    BambooHR is a cloud-based human resources platform built for small and mid-sized businesses. It handles employee records, time-off tracking, onboarding, performance management, and reporting — replacing scattered spreadsheets and manual HR processes with a single system of record. HR teams, people operations managers, and business owners use BambooHR to keep employee data organised, run payroll integrations, and generate workforce reports. It is particularly popular with growing companies that have outgrown manual tracking but do not need an enterprise-grade HRIS. At Osher, we connect BambooHR to your existing tech stack using n8n workflows. That means employee onboarding can automatically trigger account provisioning in your IT systems, new hire data flows straight into payroll and benefits platforms, and time-off approvals sync with project management tools — without anyone copying data between tabs. Our system integration services ensure BambooHR talks to every other tool your team relies on. If your HR team is spending hours on data entry that should be automatic, we can help. Get in touch to discuss how BambooHR automation fits your business.
    BambooHR consultants
  • Sentry.io

    Sentry.io

    Sentry.io is an application monitoring and error tracking platform used by development teams to detect, triage, and fix software issues in real time. It captures errors, exceptions, and performance problems across web, mobile, and backend applications, giving engineers the context they need to resolve issues fast. Software teams, DevOps engineers, and product managers rely on Sentry to keep applications stable. Instead of finding out about crashes from angry users, Sentry surfaces problems the moment they happen — with full stack traces, breadcrumbs, and environment data attached. Osher integrates Sentry into broader operational workflows using n8n. When Sentry detects a critical error, we can automatically create tickets in your project management tool, alert the right team member on Slack or Teams, and log the incident for compliance reporting. Our AI agent development work also uses Sentry data to build intelligent triage systems that categorise and prioritise errors without manual intervention. If your dev team is drowning in unstructured error alerts, talk to us about connecting Sentry to the rest of your workflow.
    Sentry.io consultants
  • Splunk

    Splunk

    Splunk is a data platform for searching, monitoring, and analysing machine-generated data at scale. It ingests logs, metrics, and event data from servers, applications, network devices, and cloud services, then makes that data searchable and actionable through dashboards, alerts, and reports. IT operations teams, security analysts, and compliance officers use Splunk to monitor infrastructure health, investigate security incidents, and meet regulatory reporting requirements. It is a standard tool in enterprises that need to make sense of large volumes of operational data. Osher connects Splunk to your wider business systems using n8n workflows. Instead of Splunk alerts sitting in a dashboard that someone has to check, we route critical events to the right team via Slack, create incident tickets automatically, and feed Splunk data into reporting pipelines. For organisations dealing with compliance requirements, our automated data processing services ensure Splunk data flows into audit-ready formats without manual handling. If your Splunk deployment generates more alerts than your team can act on, reach out and we will help you build smarter workflows around it.
    Splunk consultants
  • Google Cloud Storage

    Google Cloud Storage

    Google Cloud Storage (GCS) is an object storage service for storing and retrieving any amount of data at any time. It handles everything from small configuration files to multi-terabyte datasets, with built-in redundancy, versioning, and fine-grained access controls. Development teams, data engineers, and IT departments use Google Cloud Storage to store application assets, backups, data lake files, machine learning training data, and document archives. It is a foundational piece of infrastructure for businesses running workloads on Google Cloud Platform. Osher integrates Google Cloud Storage into automated data pipelines using n8n. When files land in a GCS bucket, we can trigger processing workflows — extracting data from uploaded documents, transforming files for downstream systems, or archiving processed records automatically. Our automated data processing services regularly use GCS as the storage layer for pipelines that move data between systems. See how we built a similar pipeline in our BOM weather data case study. If your team is manually moving files in and out of cloud storage, talk to us about automating those workflows.
    Google Cloud Storage consultants
  • QuestDB

    QuestDB

    QuestDB is a high-performance time-series database built for speed. It uses a column-oriented storage engine and supports SQL queries, making it accessible to anyone who already knows SQL while delivering query performance that outpaces traditional relational databases on time-series workloads by orders of magnitude. It is designed for scenarios where millions of rows need to be ingested per second and queried with sub-second response times. Businesses use QuestDB for IoT data ingestion, real-time application monitoring, financial market data analysis, and operational analytics. Its PostgreSQL wire protocol compatibility means it works with existing BI tools like Grafana, Metabase, and Tableau without custom connectors. Data can be ingested via the InfluxDB Line Protocol, CSV import, or REST API, giving teams flexibility in how they feed data in. Osher builds automated data processing pipelines on top of QuestDB for clients who need fast analytics on high-volume time-series data. We handle the deployment, schema design, ingestion pipeline setup, and dashboard creation — connecting QuestDB to your data sources and visualisation tools so insights are available in real time. If your current database is struggling with time-series query performance or you are looking for a purpose-built solution for high-frequency data, reach out to discuss QuestDB.
    QuestDB consultants
  • AWS Textract

    AWS Textract

    AWS Textract is a machine learning service from Amazon that extracts text, tables, forms, and structured data from scanned documents and images. Unlike basic OCR tools that only read text line by line, Textract understands document structure — it identifies form fields and their values, extracts table rows and columns, and recognises the relationships between labels and data. This makes it practical for processing invoices, contracts, tax forms, medical records, and any document where structure matters as much as content. The value of Textract multiplies when it is connected to automated workflows. Instead of someone manually entering data from paper forms or PDFs into a system, Textract reads the document, extracts the relevant fields, and passes structured data directly into your database, CRM, or accounting platform. For businesses processing hundreds or thousands of documents per month, this eliminates a significant manual workload and reduces data entry errors. Osher builds document processing pipelines using AWS Textract as part of our automated data processing services. We have delivered similar work for clients in healthcare and insurance — see our medical document classification case study for an example of how AI-powered document processing works in practice. If your team spends time manually extracting data from documents, get in touch to discuss an automated Textract pipeline.
    AWS Textract consultants
  • Segment

    Segment

    Segment is a customer data platform (CDP) that collects user events from websites, mobile apps, and servers, then routes that data to hundreds of downstream tools — analytics platforms, marketing automation, data warehouses, CRMs, and advertising networks. Instead of installing separate tracking SDKs for every tool, businesses install Segment once and control where their data goes from a single dashboard. The problem Segment solves is data fragmentation. Without it, marketing sees one version of customer behaviour in Google Analytics, sales sees another in Salesforce, and product sees a third in Amplitude. Segment creates a single source of truth for customer events, making sure every tool gets consistent, clean data. When a user signs up, makes a purchase, or completes an action, that event is captured once and delivered everywhere it needs to go. Osher helps businesses implement Segment as part of their system integration and sales automation strategy. We set up the tracking plan, configure data destinations, build identity resolution rules, and connect Segment to your CRM and marketing stack so customer data flows correctly from day one. If your customer data is scattered across disconnected tools and your teams are working with inconsistent numbers, talk to us about a Segment implementation.
    Segment consultants
  • AWS Transcribe

    AWS Transcribe

    AWS Transcribe is Amazon’s speech-to-text service that converts audio and video recordings into accurate, time-stamped text. It supports automatic language detection, speaker identification, custom vocabularies, and real-time streaming transcription — making it a go-to tool for businesses that need to process voice data at scale without building their own speech recognition models. The real value of AWS Transcribe shows up when it is connected to downstream workflows. Call centre recordings can be automatically transcribed, analysed for sentiment, and routed to support teams. Meeting recordings become searchable documents. Podcast episodes get turned into blog content. Medical consultations are transcribed with specialised vocabulary models. All of this can happen without anyone clicking a button. Osher helps businesses wire AWS Transcribe into their operations using automated data processing pipelines. We build workflows that pick up audio files, send them to Transcribe, process the results, and push structured text into your CRM, knowledge base, or analytics platform — automatically. If your team is still manually transcribing calls or losing valuable insights buried in audio recordings, we can fix that. Reach out to discuss how AWS Transcribe fits into your data workflow.
    AWS Transcribe consultants
  • uProc

    uProc

    uProc is a data enrichment and processing API that cleans, validates, and enhances business data in real time. It offers a library of processors for tasks like email verification, phone number formatting, company data lookup, text normalisation, and data type conversion — all accessible through a single API. Instead of juggling multiple data quality tools, teams can run dozens of data operations through one platform. For businesses dealing with messy CRM data, unverified lead lists, or inconsistent formatting across systems, uProc solves a real problem. It can validate email addresses before they enter your marketing platform, standardise phone numbers across international formats, enrich company records with firmographic data, and clean text fields that have accumulated garbage over time. Osher integrates uProc into automated data processing workflows so data gets cleaned and enriched as it moves between systems — not as a manual batch job someone remembers to run quarterly. We connect uProc to your CRM, marketing tools, and databases so every record meets your quality standards before it reaches a human. If bad data is costing your team time and trust, talk to us about building a data quality pipeline with uProc at its core.
    uProc consultants
  • TimescaleDB

    TimescaleDB

    TimescaleDB is a time-series database built on PostgreSQL that handles large volumes of timestamped data — sensor readings, application metrics, financial ticks, IoT telemetry, and event logs. It gives teams the familiarity of standard SQL with the performance characteristics needed for time-series workloads, including automatic partitioning, compression, and continuous aggregates that keep queries fast even as data volumes grow. What makes TimescaleDB practical for business automation is that it fits into existing PostgreSQL toolchains. If your team already knows SQL, they can work with TimescaleDB without learning a new query language or retraining. It also means any tool or workflow engine that connects to PostgreSQL can read from and write to TimescaleDB — making it straightforward to integrate into data pipelines. Osher builds automated data processing pipelines that use TimescaleDB as the backbone for time-series analytics. We connect data sources like IoT devices, application logs, and business events to TimescaleDB, then build dashboards and alerting workflows on top of the stored data so your team gets actionable insights without manual querying. If your time-series data is sitting in spreadsheets or generic databases that were not designed for the job, reach out to discuss a TimescaleDB implementation.
    TimescaleDB consultants
  • SeaTable Trigger

    SeaTable Trigger

    SeaTable is a collaborative database platform that combines the simplicity of spreadsheets with the structure of a relational database. The SeaTable Trigger integration for n8n fires workflows automatically when rows are created, updated, or deleted in your SeaTable bases, removing the need to poll for changes or build custom webhook handlers. Teams use SeaTable as a flexible backend for project tracking, inventory management, CRM, and content planning. The n8n trigger integration makes SeaTable reactive — when a team member updates a record status, adds a new entry, or modifies a field, your workflow can instantly notify the right people, sync data to other systems, or trigger downstream processes. Osher builds SeaTable automation workflows for teams that have outgrown basic spreadsheets but do not need a full enterprise database. We connect SeaTable to your communication tools, CRMs, and reporting systems so changes in your database drive action across your organisation. See our system integration services. If your team is manually copying data from SeaTable into other tools or checking for updates throughout the day, reach out and we will show you how event-driven automation can save your team hours each week.
    SeaTable Trigger consultants
  • Google Cloud Natural Language

    Google Cloud Natural Language

    Google Cloud Natural Language is a machine learning API that analyses text to extract sentiment, entities, syntax, and content categories. The n8n integration lets you feed text from any source — emails, support tickets, reviews, documents — into the Natural Language API and use the analysis results to drive automated decisions in your workflows. Businesses use it to automatically classify incoming support tickets by sentiment and topic, extract company names and product mentions from customer feedback, analyse survey responses at scale, and categorise documents by content type. Instead of reading and sorting text manually, the API processes it in seconds and returns structured data your workflows can act on. At Osher, we build text analysis pipelines that connect Google Cloud Natural Language to your business systems. Whether you need to route negative customer reviews to your support team, extract entity data from contracts, or classify documents for compliance, we design workflows that turn unstructured text into actionable data. We have done similar work for clients in healthcare and insurance — see how we handled medical document classification using AI. If your team is manually reading and categorising text data, contact us to discuss how natural language processing can automate that work.
    Google Cloud Natural Language consultants
  • Onfleet Trigger

    Onfleet Trigger

    Onfleet Trigger enables real-time event detection from Onfleet’s delivery management platform — firing workflows whenever tasks are created, started, completed, failed, or when drivers go online or offline. For businesses that rely on last-mile delivery, this trigger-based approach means your operational systems respond instantly to what’s happening on the ground. Delivery operations generate a constant stream of events that other systems need to know about. Customers expect real-time tracking updates. Warehouse teams need to know when a driver is returning. Finance needs delivery confirmations to trigger invoicing. Operations managers need alerts when deliveries fail or fall behind schedule. When these notifications depend on someone manually checking Onfleet, delays cascade through the entire operation. By connecting Onfleet Trigger to n8n, you can automate the flow of delivery information to every system that needs it. A completed delivery can trigger a customer satisfaction SMS, update your CRM, generate an invoice, and log the proof of delivery — all within seconds of the driver marking the task complete. This kind of process automation is essential for delivery businesses scaling beyond what manual coordination can handle. If your team is juggling between Onfleet and other systems to keep everyone informed, we can build workflows that connect those systems automatically.
    Onfleet Trigger consultants
  • Grafana

    Grafana

    Grafana is an open-source observability platform that turns metrics, logs, and traces from your systems into visual dashboards and alerts. If you’re running automated workflows, APIs, databases, or infrastructure, Grafana shows you what’s actually happening — and more importantly, alerts you when something goes wrong before your customers notice. Most businesses don’t monitor their automations. Workflows fail silently, APIs degrade without warning, and nobody knows there’s a problem until a customer complains. Grafana connected to your business automation stack changes that — giving you real-time visibility into everything that’s running. How we use Grafana in automation projects: Monitoring workflow execution rates, success rates, and processing times Tracking API response times and error rates across integrated services Alerting teams when queue depths grow, indicating processing bottlenecks Visualising data pipeline throughput and identifying slow stages Dashboarding business KPIs pulled from multiple data sources in real time Grafana connects to virtually any data source — Prometheus, InfluxDB, PostgreSQL, MySQL, Elasticsearch, CloudWatch, and dozens more. This means you can monitor your data processing pipelines, AI agents, and system integrations from a single pane of glass. Our consulting team builds Grafana dashboards and alerting for organisations that need visibility into their automated operations. When you’re running dozens of workflows, APIs, and integrations, you need to know they’re all working — Grafana is how you get that confidence without manually checking every system.
    Grafana consultants
  • Mandrill

    Mandrill

    Mandrill is Mailchimp’s transactional email service, built for sending the emails your business can’t afford to miss — order confirmations, password resets, shipping notifications, account alerts, and any message triggered by a specific user action. Unlike marketing emails, transactional emails need to arrive instantly and land in the inbox, not the promotions tab. If your application or business systems send automated emails and you’re struggling with deliverability, delayed sends, or limited tracking, Mandrill is purpose-built for this. It handles the infrastructure, deliverability, and reporting so your transactional emails actually reach people. Automations we build with Mandrill include: Order and payment confirmation emails triggered by e-commerce events Account notification emails fired from application backends Automated follow-up emails based on user actions in your platform Delivery and shipping updates pulled from logistics systems Routing bounced or failed email events to support workflows for investigation Mandrill’s advantage over generic SMTP is its deliverability infrastructure and detailed event tracking. You know exactly which emails were delivered, opened, clicked, bounced, or marked as spam — data that feeds into automated data processing workflows for monitoring and optimisation. Our consulting team integrates Mandrill into business automation pipelines so transactional emails fire automatically from the right event, with the right content, at the right moment. Combined with system integrations, Mandrill becomes part of a reliable communication layer that keeps your customers informed without manual effort.
    Mandrill consultants
  • Google Cloud Realtime Database

    Google Cloud Realtime Database

    Google Cloud Realtime Database (Firebase RTDB) stores and syncs data across connected clients in milliseconds. It’s the database behind real-time applications — live dashboards, chat systems, collaborative tools, and IoT data streams. When data changes in Firebase RTDB, every connected client sees the update instantly without polling or manual refreshes. The challenge with real-time data is doing something useful with it beyond the app itself. When a new record lands in Firebase, you might need to update a CRM, trigger an alert, process the data through an AI model, or sync it to a warehouse. That’s where workflow automation connected to Firebase RTDB becomes valuable. Automations we build with Firebase Realtime Database: Processing IoT sensor data as it arrives and triggering alerts on threshold breaches Syncing real-time application data to analytics warehouses and reporting tools Feeding user activity data from mobile apps into CRM and marketing systems Triggering AI-powered analysis on new data entries as they’re written Maintaining backup copies of critical real-time data in secondary storage Firebase RTDB is particularly useful for automated data processing scenarios where timing matters. Sensor readings, user actions, and live data feeds can trigger processing workflows within seconds of the data being written, rather than waiting for batch jobs to run. Our consulting team integrates Firebase RTDB into broader system integration architectures and AI agent workflows. Whether you’re building real-time dashboards, processing IoT data, or syncing mobile app activity to your back-office systems, we connect Firebase to the tools that turn raw data into business action.
    Google Cloud Realtime Database consultants
  • Sendy

    Sendy

    Sendy is a self-hosted email marketing application that uses Amazon SES to send newsletters and campaigns at a fraction of the cost of traditional email platforms. If you’re paying hundreds or thousands per month for Mailchimp or similar tools, Sendy can cut that bill dramatically while giving you full control over your data. The catch with Sendy is that it requires setup and maintenance — it runs on your own server. But once it’s connected to your business workflows through automation, it becomes a powerful, low-cost email engine that handles subscriber management, campaign sends, and reporting without the recurring SaaS fees. Typical automations we build around Sendy include: Syncing new leads from CRMs or forms directly into Sendy subscriber lists Triggering drip campaigns when contacts hit specific lifecycle stages Pulling campaign performance data into dashboards automatically Cleaning bounced and unsubscribed contacts across all connected systems Segmenting audiences based on behaviour tracked in other platforms Because Sendy is self-hosted, your subscriber data stays on infrastructure you control — a genuine advantage for businesses with data sovereignty requirements. Our consulting team helps organisations set up Sendy, connect it to their existing tech stack via system integrations, and automate the manual work that makes email marketing a time sink. If you’re sending high volumes of email and tired of per-subscriber pricing, Sendy paired with automated data processing is worth a serious look.
    Sendy consultants
  • Mailchimp Trigger

    Mailchimp Trigger

    Mailchimp Trigger starts automated workflows whenever something happens in your Mailchimp account — a subscriber joins a list, someone clicks a link in a campaign, a contact unsubscribes, or a campaign finishes sending. Instead of manually checking Mailchimp for updates and acting on them, the trigger pushes that information into your other systems instantly. Most businesses treat Mailchimp as an island. Subscriber data lives there, campaign results stay there, and nobody connects it to the CRM, the sales pipeline, or the customer support tools. That’s where business automation changes things. Mailchimp Trigger bridges the gap between your email marketing and everything else. Workflows we regularly build with Mailchimp Trigger: Updating CRM records when subscribers engage with specific campaigns Alerting sales teams when high-value leads click pricing links in emails Syncing unsubscribes across all your marketing and CRM platforms Triggering follow-up sequences in other tools based on email engagement Feeding campaign performance data into reporting dashboards automatically The value here is reaction speed. When a prospect clicks your pricing page link in an email, your sales team can get notified within seconds — not hours later when someone remembers to check the campaign report. Our AI consulting team helps businesses connect Mailchimp to their broader tech stack through system integrations and sales automation. The result is email marketing that actually drives action across your organisation, not just open rates in a dashboard.
    Mailchimp Trigger consultants
  • urlscan.io

    urlscan.io

    urlscan.io is a web security service that scans and analyses URLs for malicious content, phishing attempts, and suspicious behaviour. When you submit a URL, urlscan.io loads the page in a sandboxed browser, captures a screenshot, records all HTTP transactions, and analyses the DOM, JavaScript, and network requests. The result is a detailed report showing exactly what a URL does when visited. Integrating urlscan.io with n8n lets you automate URL security checks as part of a broader workflow. You can scan URLs extracted from incoming emails before employees click them, automatically check links submitted through web forms, or build a phishing detection pipeline that scans suspicious URLs and alerts your security team when threats are identified. Practical use cases include scanning all URLs in inbound customer emails for phishing before they reach support agents, checking URLs submitted through contact forms for malicious content, and running periodic scans of URLs found in your web application logs to detect compromised links. For Australian businesses subject to data protection and cybersecurity obligations, automated URL scanning adds a practical layer of defence without requiring manual review of every link. At Osher, we build security automation workflows that connect scanning tools with notification and response systems. Our BOM data pipeline project demonstrated how automated data validation and processing can protect downstream systems from bad data. If your organisation handles sensitive data and wants to automate parts of your security workflow, our system integration services can connect urlscan.io with your email, chat, and alerting tools. Contact our AI consulting team to discuss your security automation needs.
    urlscan.io consultants
  • Strava Trigger

    Strava Trigger

    Strava Trigger is the event-based node for Strava, the popular fitness tracking platform used by runners, cyclists, and athletes to record activities, track performance metrics, and share workouts with their community. The Strava Trigger in n8n fires whenever a new activity is created or updated in a connected Strava account, enabling real-time automations based on fitness data. This integration is particularly useful for fitness businesses, coaching platforms, sports clubs, and health-tech companies that need to react to athlete activity data. When a new activity is recorded, n8n can push the data to a coaching dashboard, log training volume to a spreadsheet, send motivational messages, or update a leaderboard automatically. Common workflow patterns include posting a summary to a team Slack channel when a club member completes a workout, logging all activities to Google Sheets for training analysis, sending a congratulatory email when an athlete hits a personal best or milestone, and syncing activity data to a coaching platform or client management system. For Australian fitness businesses and sports organisations, automating the flow of activity data removes manual data entry and keeps coaches and athletes on the same page. Our team at Osher builds data integration workflows for businesses across many industries. The same principles we applied in our property inspection automation project — capturing field data and routing it to the right systems automatically — apply to fitness data workflows. If you run a fitness business and want to automate how activity data flows between Strava and your other tools, our system integration team can help. Talk to our AI consulting team about building automated coaching or engagement workflows with automated data processing.
    Strava Trigger consultants
  • FileMaker

    FileMaker

    FileMaker is a low-code database platform by Claris (an Apple subsidiary) used by businesses to build custom applications for managing contacts, inventory, projects, invoices, and other structured data. It is particularly popular with small to mid-sized businesses that need something more powerful than spreadsheets but do not want to build a full custom application from scratch. Integrating FileMaker with n8n allows you to connect your FileMaker databases to the rest of your tech stack. You can push data from web forms, e-commerce platforms, or CRMs into FileMaker, pull records from FileMaker into reporting tools, and trigger workflows when records are created or updated. This is especially useful for businesses that rely on FileMaker as their core operational database but need it to talk to cloud services. Common integration scenarios include syncing new orders from Shopify or WooCommerce into a FileMaker inventory database, pushing FileMaker contact records to an email marketing platform, generating PDF reports from FileMaker data and emailing them to clients, and creating FileMaker records from incoming web form submissions. Many Australian businesses have been running FileMaker for years and hold critical operational data in it. The challenge is that FileMaker can become isolated from newer cloud tools. At Osher, we specialise in connecting legacy and established systems with modern platforms. Our property inspection company case study involved connecting field data capture systems with backend processing — a similar pattern to FileMaker integrations. Our system integration team can connect FileMaker with your CRM, accounting software, and communication tools using n8n. If your FileMaker database is central to your operations but disconnected from everything else, our AI consulting team can design an integration plan. We also offer robotic process automation services for businesses looking to automate data movement between FileMaker and other platforms.
    FileMaker consultants
  • Metabase

    Metabase

    Metabase is an open-source business intelligence and analytics tool that lets teams query databases, build dashboards, and share reports without writing SQL. It connects to popular databases like PostgreSQL, MySQL, MongoDB, and BigQuery, giving non-technical users a visual way to explore data and answer business questions on their own. When integrated with n8n, Metabase becomes part of an automated data pipeline. You can schedule n8n workflows to push data into the databases that Metabase reads from, trigger alerts when Metabase queries return specific results, or automate the distribution of reports to stakeholders via email or Slack. Common automation patterns include pulling CRM data into a reporting database on a schedule so Metabase dashboards stay current, sending automated Slack notifications when a KPI exceeds a threshold, and consolidating data from multiple SaaS tools into a single Metabase dashboard. We built a similar reporting pipeline for an insurance technology company, connecting weather data from the Bureau of Meteorology into an automated processing system — you can read about it in our BOM weather data pipeline case study. If your team is spending hours each week manually compiling reports, our automated data processing services can help you build pipelines that keep your dashboards current without manual effort. Our AI consulting team can assess your current reporting setup and recommend the right approach for your business.
    Metabase consultants