AI agents

Autonomy, approvals, guardrails and evaluations.

Agent memory: what agents recall between runs

How a digital worker uses similar past runs to handle new ones more consistently.

Suggest, Draft, Approve, Autonomous — what each level lets an agent do.

The hard limits that apply to every agent at every autonomy level.

Deploy a prebuilt digital worker instead of building one from scratch.

Route a slice of live runs to a new agent version to prove it in production before full rollout.

Review, edit, approve or reject agent actions — with SLAs so nothing rots.

Golden test cases — including adversarial ones — that an agent must pass before going live.