Agentic transformation

Decision-led guidance for selecting workflows, redesigning roles and moving useful agent systems into operation.

In Agentic transformation

10 articles
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

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

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.

Strategy & transformation6 MIN READ

Who owns an AI agent after launch?

Live agents cut across product, operations, risk and technology. One accountable service owner needs explicit decision rights supported by named control owners.

Strategy & transformation6 MIN READ

Adoption is part of agent reliability

An agent is not reliable if people avoid it, over-trust it or route around its controls. Adoption evidence belongs beside technical performance evidence.