Agentic AI studio
Agentic AI, built to your standards.
Agents, assistants and automations for businesses, startups and companies of any size. Custom-built, tested on your own data in a paid pilot before it goes live, and running in your own cloud.
A look inside the client portal (sample data)
The problem
An AI that acts is hard to trust without a clear line.
When an AI can send, pay or change things, you need to know who asked, who checked and who said yes. Without that, it is a tangle. I build one line instead.
- RequestIt comes in one door.
- CheckInputs and rules are checked.
- Human approvalA person says yes.
- ActionThen it runs.
- RecordIt is written down.
How it works
A person approves every important action.
Five steps, the same in every system I build. Choose a step to see it.
Step 1 of 5sample
New request
Draft order for 24 itemsReceivedIt arrives from your inbox, your helpdesk or your own system, in one place.
Step 2 of 5sample
Is this safe and allowed?
- Input checked for hidden instructions
- The action is allowed by your rules
- Price on line 7 differs from your price list
Anything that does not pass is held for a person, not sent.
Step 3 of 5sample
Waiting for you
Draft order for 24 items
Price on line 7 differs from your price listApproveSend backAnything that sends, pays, changes or deletes stops here until a person says yes.
Step 4 of 5sample
The action runs
Order sent to the supplierafter approval
Step 5 of 5sample
What happened, in order
- 1Request received
- 2Checked against your rules
- 3Approved by a person
- 4Order sent
What I build
Any agentic AI your business needs. Built to your rules.
From one agent that clears a backlog to a multi-agent system across your stack. If a tool you can buy already does the job, I'll say so and help you set it up.
AI agents and multi-agent systems
Agents that plan, call your tools and finish multi-step work across your systems, with a person approving anything that matters.
Assistants and copilots
For your team or your customers. Grounded in your own data, with the source shown, and honest when they don't know.
Knowledge search over your documents
Wikis, files, tickets and contracts turned into cited answers that respect who is allowed to see what.
Workflow automation and integrations
Agents connected to your CRM, ERP, helpdesk and databases through their APIs and MCP, with every action logged.
AI features inside your product
Structured output, streaming, cost and speed budgets, and evaluations that run on every release.
Evaluation, guardrails and governance
Test sets, scoring, prompt-injection defences, data redaction, approvals and an audit trail, including for AI you already run.
And custom builds to your standards: your stack, your security rules, your review process.
Have something else in mind? Describe it. Some work I don't take on: see the limits.
What you get
You see the score before it goes live.
Every build is tested on a set of your own cases before it goes live, and you see the score. Accuracy on live data after launch is measured, not guaranteed. Where your data is stored and where the AI model runs are agreed in writing before I start.
Built in your cloud account
AWS by default. Azure or Google Cloud on request.
A person approves anything that sends, pays, changes or deletes.
The system proposes. A named person decides.
Tested on your real data before it goes live.
A test set from your real data, and a target agreed in writing in the first pilot week.
Yours to keep
A runbook, and 30 days of fixes. Your code, yours after the final payment.
- Architecture planA written design for your task.The plan in writing, with a size: Core, Standard or Advanced.
- PilotThe first paid phase, on your real data.A test report against the agreed target.
- Go liveSwitched on when the target is met.A named owner on your side, and the keys.
A free call and a written architecture plan for your task come first. Build work starts once we've signed a short agreement and the first payment is in.
Describe one task.
Tell me what takes your team hours each week. I reply within one working day, with questions and call times for your time zone.