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AI Agents
Agents that plan, call tools and delegate work across your systems, inside explicit permissions.
Bounded autonomy: scoped tools, budgets, audit trails and fallbacks.
01When to bring us in
The problem, stated plainly.
- P.01
Multi-step tasks span several tools and still need a person to drive each step.
- P.02
Teams want copilots inside their own systems, not another chat window.
- P.03
Autonomy is attractive, but its risks are not yet controlled.
02What we deliver
Scope, in concrete terms.
- D.01
Agent design: goals, tools, permissions and budgets
- D.02
Tool and API integrations with scoped credentials
- D.03
Human approval for sensitive actions
- D.04
Audit trail of every action and decision
- D.05
Evaluations and fallbacks for failure cases
03How we approach it
Four steps, one team throughout.
- 01
Bound
Define what the agent may and may not do.
- 02
Equip
Expose tools through narrow, permissioned interfaces.
- 03
Test
Scenario evaluations, including adversarial cases.
- 04
Supervise
Approvals, logs and kill switches in production.
04Typical stack
Typical, not mandatory. Your existing stack comes first.
BeginAI Agents
Tell us where it hurts.
We will tell you what we would build.
A first call clarifies scope, risks and a sensible first increment. You leave with a plan either way.