Custom AI Agents
Not a chatbot — an autonomous worker. Custom AI agents that research, schedule, process documents, or run full workflows with minimal supervision. You define the goal, we build the agent that reaches it.
Without an AI agent
- Staff spending hours on research, summaries, and triage
- Document review bottlenecks slowing down deals
- Information scattered across email, Drive, Slack, and notebooks
- Routine decisions waiting on a human who's already overloaded
With an AI agent
- Research, summaries, and first drafts ready before your team arrives
- Documents pre-processed, tagged, and queued for review
- One agent with the full picture — synthesizing across tools
- Routine decisions handled automatically with human approval for edge cases
How We Build It
Goal & Guardrails
We define exactly what the agent should do, what tools it can touch, and where it must stop and ask a human. No vague mandates.
Model & Tooling
We pick the right LLM and wire up the tools the agent needs — APIs, databases, internal systems — with authentication and rate limiting.
Build & Evaluate
We develop the agent with evaluation suites that score it on real tasks before you see it. Every iteration is measured, not guessed.
Safety & Approval
Human-in-the-loop approval flows for irreversible actions, audit logs for every decision, and a kill switch you control.
Deploy & Iterate
We ship to production, monitor behavior in the wild, and retrain as tasks evolve. You stay in control as capabilities grow.
What You Get
- Production AI agent executing the scoped task autonomously
- Evaluation suite measuring accuracy, reliability, and safety
- Human-in-the-loop approval UI for high-risk decisions
- Audit log of every action the agent takes
- Admin dashboard for monitoring and adjusting behavior
- 30 days of tuning and evaluation refinement included
Frequently Asked Questions
How is this different from a chatbot?
A chatbot responds to messages. An agent takes actions — reading data, calling APIs, updating records — with human oversight on anything risky. Think of it as a junior employee, not a search box.
How do we know the agent won't do something stupid?
We build evaluation suites that score the agent on real tasks before launch, audit every action, and put a human-in-the-loop approval step on anything irreversible. You can also kill it instantly.
What tasks are a good fit for an AI agent?
Research, scheduling, document triage, data entry, first-draft generation — anything repetitive, text-heavy, with clear success criteria. Not a fit: open-ended judgment calls or anything with legal weight.
How long before we can run it without watching it constantly?
Usually 2 to 4 weeks after launch. The first two weeks are human-in-the-loop on everything. As the evaluation metrics stabilize, we progressively loosen the approval requirements.