Workflow automation that replaces manual processes with reliable systems
Business process automation, system integrations, and AI-enhanced workflows using n8n, Python, and custom API connectors - built to run in production without babysitting.
How we use it
For no-code/low-code automation, we use n8n self-hosted - it is open source, runs on your own infrastructure, and handles complex branching workflows. For custom automation logic, Python with Celery. For AI-enhanced workflows, we integrate LLMs at the decision points that benefit from reasoning.
Best fit for
AI agents market grew from $3.7 billion in 2023 to $7.38 billion in 2025 and is projected to exceed $100 billion by 2032. 85% of organisations have integrated AI agents into at least one workflow (index.dev, 2025). The key shift in 2024–2025 is that automation is no longer just rule-based routing of data between APIs - it is LLM-enhanced decision-making inside workflows. An email arrives, an AI agent reads it, classifies intent, routes to the right team, drafts a response for human approval, and logs the interaction - all automatically. This combination of structured automation and AI judgment eliminates entire categories of manual coordination work.
What's included
Capabilities
LLM integration & prompt engineering
RAG system design & vector database setup
Workflow automation & agent orchestration
Custom AI pipeline architecture
Evaluation, monitoring & cost optimisation
Fit analysis
Is this right for you?
Honest breakdown of where Workflow Automation shines — and where it doesn't. Pick the right tool.
When to choose this
Right fit scenarios
Your team spends hours per week manually copying data between tools - CRM to ERP, spreadsheet to database, email to task tracker - that should happen automatically
You have multi-step business processes with conditional logic, approvals, and notifications that currently require human coordination to move forward
You need to connect tools that do not have a native integration and a no-code platform like Zapier is too limited or too expensive at the required volume
You want to add AI judgment to existing workflows - classifying incoming leads, summarising support tickets, extracting structured data from unstructured documents - without rebuilding the entire process
You are scaling operations and the work volume is growing faster than you can hire - automation extends what your existing team can handle
When to choose this
Right fit scenarios
Your team spends hours per week manually copying data between tools - CRM to ERP, spreadsheet to database, email to task tracker - that should happen automatically
You have multi-step business processes with conditional logic, approvals, and notifications that currently require human coordination to move forward
You need to connect tools that do not have a native integration and a no-code platform like Zapier is too limited or too expensive at the required volume
You want to add AI judgment to existing workflows - classifying incoming leads, summarising support tickets, extracting structured data from unstructured documents - without rebuilding the entire process
You are scaling operations and the work volume is growing faster than you can hire - automation extends what your existing team can handle
Honest limitations
Not the best fit if…
Workflows that require complex real-time user interaction - these are product features, not background automation
One-time data migrations or exports - a simple script is more appropriate than a persistent automation workflow
Highly regulated workflows where every decision step requires documented human approval and an immutable audit trail - automation can assist but not replace the human sign-off
Teams that have not yet standardised their tools and processes - automating a chaotic process creates a faster-running chaotic process
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