Services/Build
AI Workflow Automation
Manual, repetitive processes rebuilt as supervised automations that run inside the tools you already use.
- 6 to 10 weeks
- Fixed price, or time and materials
- Lead engineer plus one or two automation engineers
- Operations teams with a process that runs on email, chat, and spreadsheets
What we do
We map the process, find where language models remove the manual steps, and build the automation with the exceptions, approvals, and monitoring a real operation needs. Most engagements start with one process and a measurable before-and-after.
What the work includes
Process discovery first
We sit with the people who run the process, document the real path including the exceptions, and agree what a good outcome looks like before anything is built.
Language models only where needed
Reading unstructured messages, drafting responses, classifying requests. Deterministic logic everywhere else, so the workflow stays predictable.
Approvals and rollback
Multi-step orchestration with human approval on the steps that matter, error handling, and a clear way to undo.
Runs inside your stack
WhatsApp, Slack, Google Workspace, your CRM and ERP. The automation meets the team where the work already happens.
Case study
Booking and driver coordination for a transport operator
Booking processing time halved, customer response time from 20 minutes to one, on-time arrivals from 75% to 90%.
Read the case studyHow an engagement runs
Scope, build, evaluate, operate.
The same four stages on every engagement, each with a defined output.
Scope
A short discovery with the people who own the problem. Output: a written scope, acceptance criteria, and a fixed estimate.
Build
A named lead and a team sized to the scope. Working software from the first weeks, demonstrated on a fixed cadence.
Evaluate
Every AI component is measured against real cases before rollout. The numbers decide when it goes live.
Operate
Deployment, monitoring, and a support window. Then a handover, or an ongoing team if you want one.
Typical stack
Tools we commonly use for this work. The final choice follows your requirements, region, and existing platform.
- Python
- n8n
- OpenAI
- LangChain
- PostgreSQL
- Redis
- Docker
- FastAPI
Operations
One process, measured end to end
We start with a single process you can measure, prove the change, and then extend. No platform purchase or transformation program is required to begin.