AI Readiness · Professional Services

AI doesn't fail. The organisations underneath it do.

MML assesses whether a firm is ready to get value from AI before it commits serious investment — looking at the foundations underneath rather than the tooling on top.

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The pattern

PwC asked 4,454 CEOs across 95 countries how AI was performing for them. 12% were getting both revenue growth and cost savings. 56% were getting neither.

The tools mostly work. What they cannot do is fix the organisation they land in. AI cannot optimise a broken process, it can only run it faster. Data spread across functions with no reason to share it produces confident answers built on an incomplete picture. BCG’s research across 1,000 executives puts around 70% of the AI challenge on people and process, and 10% on the algorithms. Most firms discover this during implementation, when it is expensive to fix.

MML assesses whether a firm is ready to get value from AI before that happens — producing a clear read on where it will break, and what to fix in what order.

How to work together
Start here

Partner-Group Decisions Workshop

£5,000

Half a day with your partnership on what AI is permitted to do, who is accountable, and what stays human.

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AI Readiness Pre-Investment Review

£25,000

A readiness verdict across six domains before you commit serious investment. The only offer that produces one.

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Partner Advisory Retainer

£1,750/month

Impartial judgment on demand throughout your AI programme. Follows a diagnostic or workshop.

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Strategy firms assess this from the outside. Technology firms assess the stack. MML doesn't sell implementation, tooling, platform builds or resource — and nobody who assesses your readiness should have a commercial interest in the answer being yes. About Sarah →

Insights

From the field

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Agility in the Age of AI

The white paper behind the diagnostic framework — what the research says, and what it means for firms trying to make AI investments that actually hold.

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