AI agents
Guardrails, confidence threshold, audit log, kill switch. By default.
Safety isn't a patch later — it's how we build the agent from the first line of code.
In short
A safe autonomous agent has: minimum credential rights, a confidence threshold below which it escalates to a human, an immutable audit log for every action, a "shadow" mode where it proposes without executing, plus a global kill switch. Transition to full autonomy is gradual, based on data — not blind trust.
- Least privilege for agent credentials
- Configurable confidence threshold per action
- Immutable, complete, queryable audit log
- Shadow mode → human-in-the-loop → gradual autonomy
The 5 layers of safety, by default
In every implementation, we include from the start:
- Dedicated credentials with minimum rights (not "admin")
- Explicitly defined allowed actions (allowlist, not blocklist)
- Confidence threshold — below it, escalates to a human
- Immutable audit log for every decision and action
- Global kill switch + possibility of rollback for reversible actions
How we gradually transition to autonomy
Weeks 1–2: shadow mode (agent proposes, human decides on everything). Weeks 3–4: human-in-the-loop for high-impact actions, autonomous for the rest. Weeks 5+: gradual expansion of autonomy, only where measured accuracy justifies it. Nothing "on trust" — everything on data.
What we do when the agent makes a mistake
Mistakes are expected, not surprises. The audit log allows for quick analysis of the cause, rollback where possible, adjustment of thresholds, and retraining on the specific case. Our culture: mistakes become input, not blame.