THE PROBLEM
Your team repeats the same work every week — moving data between systems, chasing approvals, producing the same report. It is expensive, it is error-prone, and it does not scale with headcount.
What we usually hear- Work spread across tools that do not talk to each other
- Processes held together by one person who knows the steps
- Errors discovered downstream, long after they were introduced
- No measurement of what the manual work actually costs
HOW WE APPROACH IT
Engineering, not guesswork
We map the process first and identify what is genuinely worth automating. Some steps exist because of a judgement call, and automating those makes things worse.
Then we build the workflow across the tools you already use, with exception handling and human review at the points where judgement matters.
We measure before and after, so the time recovered is a number rather than a claim.
WHAT YOU RECEIVE
Deliverables
- Process mapping to find what is worth automating and what is not
- Workflow implementation across the tools you already use
- Exception handling and human-in-the-loop review points
- Before-and-after measurement of time recovered
WHAT CHANGES
Business outcomes
- Repetitive work removed from the week
- Errors caught at the point of entry rather than downstream
- Process knowledge in a system rather than in one person's head
- Measured time recovered
TECHNOLOGY
What we typically build with
Selected against your constraints and your team's ability to maintain it — not against fashion.
- n8n
- Python
- TypeScript
- Node.js
- PostgreSQL
- REST APIs
- Webhooks
- AWS
HOW WE DELIVER IT
The same five phases, every time
See the full twelve-stage process for what each phase produces.
Discovery
We map the business problem and define success in measurable terms.
Architecture
Technology and data decisions made against your constraints, documented with reasoning.
Design
Journeys and interfaces resolved on screen, including everything that goes wrong.
Engineering
Short cycles ending in working software, reviewed and tested before it merges.
Deploy & Scale
Automated release, monitoring in production, and support as usage grows.
QUESTIONS
About business process automation
Do we have to replace our current tools?
No. Most automation work connects what you already run. Replacing tools is a separate decision with its own business case.
What happens when an automated step fails?
It surfaces to a human with the context needed to resolve it, rather than failing silently. Exception handling is part of the design, not an afterthought.
How do you decide what to automate first?
Frequency multiplied by time taken multiplied by error cost. The highest number goes first.
RELATED SERVICES
Often needed alongside this
AI Products & AI Agents
Production AI features rather than demonstrations — model integration, retrieval over your own data, and agents that complete real tasks.
CRM & ERP Systems
Custom or heavily tailored operational platforms for businesses whose processes do not fit an off-the-shelf product.
API Development & Integration
The interfaces between systems, where most project estimates go wrong and most production incidents begin.
Tell us the problem, not the brief
We will tell you whether business process automation is actually the right answer, and what a first phase would take. See all services or how we work by industry.