Operating model

Ownership, accountability and ways of working for teams that introduce agents into live business processes.

In Operating model

13 articles
Strategy & transformation6 MIN READ

Before the pilot: five questions for agent readiness

A compelling demo leaves important questions open. Use a five-dimension rubric to examine the data, authority, evidence, ownership and people behind your next agent initiative.

Strategy & transformation6 MIN READ

Stop choosing AI use cases; start defining workflows

A list of AI ideas is not an operating plan. Define the work, decisions, authority and evidence before deciding whether an agent belongs in the workflow.

Strategy & transformation6 MIN READ

Do you need an agent centre of excellence?

A centre can concentrate scarce expertise and reusable controls, or become an approval queue detached from real work. Choose the mandate before the structure.

Strategy & transformation6 MIN READ

A quarterly watchlist for agentic AI leaders

A useful quarterly watchlist tracks changes that could alter real decisions: system authority, evidence, incidents, standards, providers and organisational readiness.

Strategy & transformation6 MIN READ

Redesigning roles around human–agent collaboration

Do not divide work into “human” and “AI” columns. Redesign tasks, decisions, authority, handoffs and learning so each role remains operable and accountable.

Strategy & transformation6 MIN READ

Why promising AI pilots become permanent experiments

A successful demonstration does not create a live service. Pilots stall when they test capability without resolving ownership, integration, economics and operating evidence.

Strategy & transformation6 MIN READ

Turning an AI workshop into a decision artefact

Design an AI workshop backwards from a named decision, then capture evidence, assumptions, disagreements, owners and triggers in an artefact that survives the meeting.

Strategy & transformation6 MIN READ

AI readiness is local to the workflow

Enterprise readiness scores hide the conditions that make one workflow viable and another reckless. Assess readiness where data, authority, people and operations meet.

Governance & privacy6 MIN READ

The responsibility map every AI partnership needs

A useful responsibility map connects each AI decision and artefact to a named accountable owner, a performing role, required contributors and evidence of completion.