AI Automation
AI workflow automation that removes the busywork, not the judgment calls.
Every business has three or four processes that eat hours every week — copying data between tools, chasing approvals, compiling reports. We automate those, and use AI for the steps that need reading, classifying, or drafting.
The problem we solve
Why founders bring this to us.
Manual, repetitive multi-step work spread across five tools is invisible until you add up the hours. Off-the-shelf automation tools handle the mechanical steps; AI handles the steps that need judgment on unstructured data. Most teams never combine the two properly.
What you get
Deliverables spelled out.
- Process audit ranked by hours saved per week
- Automation build on Zapier, Make, n8n, or custom scripts — whichever fits
- AI steps for document extraction, classification, and drafting
- Integration across your existing tool stack — no rip-and-replace
- Error handling and monitoring so failures get flagged, not lost
- Documentation your team can maintain after handoff
Our process
How this engagement runs.
- 1
Process audit
Map current workflows, time cost, and error rate for each candidate process.
- 2
Prioritise
Rank by hours saved vs. build effort — highest leverage first.
- 3
Build + integrate
Automations built and wired into your existing tools, tested against edge cases.
- 4
Monitor + handoff
Error alerting set up, documentation delivered, team trained to maintain it.
FAQ
AI Workflow Automation — quick answers.
Zapier and Make for most integrations, n8n for anything self-hosted or complex, custom scripts when off-the-shelf tools cannot handle the logic.
Most teams stall on the AI steps — extracting structured data from messy documents, classifying open-ended text. That is the part we specialise in on top of the plumbing.
Every workflow ships with error handling and alerting — failures get flagged to a human, not silently dropped.
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Ready to scope ai workflow automation?
Spend 3 minutes on the intake form. I'll send back a fixed-price scope within 24 hours — usually faster.