AI agents
Agents that read, draft, and decide inside your workflow, with the tools they can reach and the things they can do both deliberately scoped.
What it covers
- Agents scoped to a job rather than pointed at everything
- Tool access defined explicitly, with permissions
- Guardrails and approval steps before anything irreversible
- Evaluation against real cases before rollout
- Logging, so you can see what it did and why
- Human review on anything with consequences
How it works
Scope the job
We define exactly what the agent is responsible for and, more importantly, what it must never do on its own.
Build with guardrails
Tools, permissions, and approval steps set up first, then the agent built inside them and tested on real cases.
Watch it work
Every action logged and reviewable, with a person approving anything that cannot be undone.
Who it is for
Teams with a multi-step process that follows rules but still eats hours of somebody's week.
Questions we get
What stops an agent doing something it should not?
Scope. The tools it can reach and the actions it can take are defined explicitly, with approval steps in front of anything irreversible.
Can we see what it did?
Every action is logged and reviewable. An agent you cannot audit is not one you should be running.
What if it gets something wrong?
Anything with consequences keeps a person approving it. The agent drafts and proposes; a human commits.