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RESPONSIBLE AUTONOMY

Move on the loop.
Stay accountable.

Give agents room to act within defined boundaries, while people set direction, oversee outcomes and intervene when it matters.

A relaxed agent stretches inside clear boundaries, with human oversight above: room to act while people retain authority.

CAPABILITY BEFORE CONSULTING THEATRE

“Human-centric” needs
an operating model.

In his article, Nick Hortovanyi challenges AI consulting that leaves clients dependent on reports or makes human approval the default for every agent action. His emphasis is on people developing direct AI capability and agents acting within bounds, with consequential actions escalated.

Our practical response: work alongside your domain experts, build a useful workflow and make the decision boundaries visible. Judge the result by its usefulness, error patterns and outcomes—not by the label on the presentation.

Read Nick’s article on Medium ↗

FROM APPROVING ACTIONS TO GOVERNING AUTONOMY

Move the human role.
Keep the authority.

The shift is from reviewing each proposed action to defining what the system may do, observing how it performs and intervening when needed.

HUMAN IN THE LOOP

Approval before action

An agent observes and proposes an action. A human reviews it before execution. Results feed back into observation.
HUMAN ON THE LOOP

Oversight around action

Humans set policy, monitor evidence and can intervene. Agents observe, decide and act within delegated limits. Exceptions are escalated to humans.
Design the boundary for each workflow.

Keep explicit approval for actions that require it. Define escalation triggers and pause behaviour before delegating authority. On-the-loop governance requires timely evidence and a practical ability to intervene.

Conceptual operating models. Solid teal arrows show the routine flow; gold marks human authority and exception escalation. The dashed boundary represents delegated authority.

Map your governance boundary with us ↗

A PRACTICAL STARTING POINT

Turn intent into
clear operating boundaries.

  1. Map the decisions

    Identify who acts today, what the consequences are and which actions are reversible.

  2. Define authority

    Specify what an agent may do, what it must escalate and who owns the outcome.

  3. Provide context

    Give the workflow clear goals, relevant information and explicit constraints.

  4. Make it observable

    Capture decisions, outcomes and exceptions so oversight has evidence to work with.

  5. Test the boundaries

    Exercise failure cases, approval paths and the ability to pause or recover.

  6. Expand on evidence

    Measure the workflow against its baseline and widen authority only when justified.

FOR CEOS, BOARDS & TECHNOLOGY LEADERS

Commanding Autonomy

A 90-minute executive briefing or strategy session on oversight in the age of AI.

Explore a candidate workflow, its decision boundaries, accountability and escalation paths. Use the discussion to identify priorities for a bounded pilot and the evidence needed to evaluate it.

Enquire about a briefing ↗

LET’S BUILD SOMETHING USEFUL

What are you ready
to put into practice?

Discuss your project ↗