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Designing how work
operates
with AI.

Individual AI skills don't automatically become shared practice. I help teams take that next step.

    SELECTED WORK

     OUTCOME

We turned a two-week process into a two-day. That is not an efficiency gain, that is a different capability.

     INSIGHTS

Agent readiness starts before agents

We found that teams with the clearest path to automation shared one characteristic: the work was already structured into repeatable steps, with defined inputs, outputs, and human checkpoints. Where teams were not ready, the problem was not the technology. The workflow itself had never been made explicit.

What determines agent readiness is not technical sophistication alone. It is whether the work has been made legible enough for someone else, human or machine, to follow.

    THE PRACTICE

I help teams turn individual use of AI into shared, durable ways of working.

That starts with discovery: maturity assessment, use case mapping, and workflow analysis to find where work repeats, where it is manual, and where it does not require human judgment. That becomes the basis for what follows: enablement, augmentation, and automation grounded in how the team actually works.​

     WHAT OTHERS SAY

Marianne brought two things together: deep attention to how her team worked, and the ability to move leadership and peers toward a different way of thinking. That lateral influence was what made the transformation successful.

ANDREW CHANDLER, GRIDD CO-FOUNDER, EX- CITIZENM, EX-MCKINSEY  

     AI READINESS ASSESSMENT

How operational is AI inside your organization?

Most organizations already have people using AI. Far fewer have the operational structures required for it to scale.

This six-question assessment evaluates whether those conditions are in place.

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