Governed AI Agents
AI agents that know their job, know their limits, and know when to ask a human.
Most agent projects either do too little to matter or too much to trust, racking up API costs, taking actions no one approved, and leaving no trace of what they did.
Agents that complete real work inside hard boundaries, every high-impact action gated, every permission scoped, every step logged, with predictable cost and a clear record of who authorized what.
Not every problem needs an agent. The first decision we make is architectural: a predefined workflow for linear, predictable steps, or a dynamic agent for open-ended problem-solving. Starting simple, optimized prompts with real evaluations, beats bolting on multi-step complexity that no one can debug later.
Where agents are right, we build them as code-first applications with clearly scoped tool permissions, sandboxed execution, and parallel guardrails watching both what goes in and what comes out. High-impact actions don’t just happen, they hit a hard interrupt gate and wait for a human. Escalation rules send anything complex or risky straight to a person.
Every step an agent takes, each inference, tool call and response, is written to an append-only audit log. You always know what ran, what it touched, and who approved it. That is the difference between an agent you can put near real operations and a demo you can only show in a sandbox.
- Predefined workflows vs. dynamic agents, the right architecture for each task
- Scoped tool permissions, granular read-only vs. write boundaries per system
- Hard human checkpoints (interrupt gates) for high-impact actions
- Sandboxed execution that protects your internal infrastructure
- Parallel guardrails monitoring inputs and outputs in real time
- Retrieval, tools and memory (RAG) with defined context limits
- Clean, documented, tested agent-computer interfaces
- Cryptographic audit logs of every inference, tool call and response
- Allowed vs. prohibited actions are explicit, payments, live-data writes and direct customer messages require human sign-off.
- Escalation rules force a handoff to a human on complex or high-risk scenarios.
- Least-privilege by default, agents get the narrowest scope the job needs.
- Every action is recorded in append-only audit logs.
Patterns from systems running on our edge today, anonymized, with no inflated numbers.