Illustrative engagement

Agentic workflows with controls built in

Move consequential work faster without hiding uncertainty or weakening accountability.

Context

Regulated enterprise operations

The operating context

Teams want agents to classify, coordinate, and prepare work across internal systems, but sensitive data, external actions, and changing model behavior make unrestricted automation unacceptable.

Critical decision

The choice to make explicit

Which steps belong to agents, deterministic code, or people, and what evidence should be required before the workflow advances?

Approach

A deliberate path forward

  1. Classify decisions by risk and reversibility

  2. Enforce permissions and human gates

  3. Evaluate, monitor, and control cost

Intended outcome

The operating advantage

An observable, testable workflow that accelerates routine coordination while keeping consequential decisions accountable.

A useful first conversation

Start with the decision or workflow that keeps getting stuck.

Describe the challenge