AI agents. One clearly defined job, done traceably.
We build agents that complete real tasks across your systems, such as research, triage, preparation and follow-up, with clear permissions, a log of every step and human approval where it matters.
For teams with multi-step work that follows a pattern but needs judgment: case preparation, research, triage, reconciliation and follow-up.
AI agents
We define the job, the tools the agent may use and the points where a person must approve. Then we build the agent on an orchestration framework, evaluate it on real cases and deploy it with monitoring. Agents start narrow and earn more autonomy as the evidence comes in.
- (01)A narrow, well-defined job
- (02)Permissions per tool
- (03)A log of every step
- (04)Approval before consequential actions
Tools we use for this.
- Claude Agent SDK
- LangGraph
- OpenAI Agents SDK
- Model Context Protocol
- TypeScript
- Python
We choose the stack that fits your requirements. Tool names describe our skills, not partnerships.
Sprint.
4 weeks.
Four weeks on one goal, with working software at the end.
Included
- (01)Task and boundary design
- (02)Agent build and tool integration
- (03)Approval steps and permissions
- (04)Evaluation on real cases
- (05)Monitoring and cost controls
- (06)Runbook and handover
Not included
- (01)Fully autonomous decisions in regulated areas
- (02)Model usage fees
- (03)Tasks outside the agreed job
How it runs
- (01) · Week 1
Define
The job, tools, permissions and success criteria.
- (02) · Weeks 2–3
Build
The agent, its integrations and an evaluation set.
- (03) · Week 4
Supervised launch
Run with approvals on, measure, then widen.
Also available as: Workshop (½–2 days) · Build & Support (Staged, ongoing). Compare the formats.
You might also
look at these.
What is the difference between an agent and a chatbot?
A chatbot answers questions. An agent takes actions, such as reading systems, preparing work and updating records, within the limits you set.
How do you keep an agent under control?
Narrow scope, per-tool permissions, spending and rate limits, a log of every step and human approval before anything consequential.
Can agents run on our own infrastructure?
Yes. Agents can use open-weight models on your servers when data must stay in-house.