An honest, defensible view of where your organization stands on AI — and a documented, executable plan for what to do next. Built on the proprietary McMillanAI Enterprise Maturity Framework v1.0.
Developed from delivering AI at scale inside one of the world’s largest regulated financial institutions, and refined through current engagements across industries. Industry-agnostic by design.
The McMillanAI Enterprise Maturity Framework measures your progress against a set of clearly defined — aspirational but achievable — goals across six dimensions and 37 sub-components, with evidence behind every score. A defensible view your leadership can act on.
Where AI fits in the business strategy, executive alignment, and how the firm articulates the AI agenda to its stakeholders.
Policy, oversight, model risk, regulatory readiness, and the internal control environment around AI deployment.
Infrastructure, model access, data readiness, integration patterns, and the technical foundation AI depends on.
Fluency across leadership, managers, champions, and employees — and the operating model that sustains it.
Quality of the use case portfolio, prioritization discipline, deployment outcomes, and how AI is changing how work gets done.
How the organization tracks value, attributes outcomes, and decides where to invest next.
Senior-led throughout. Designed for executive attention spans and to produce decisions, not deliverables for their own sake.
Kickoff with executive sponsor. Stakeholder mapping, document review, baseline interviews. We agree on what success looks like and which decisions this engagement should unblock.
Structured interviews across the six framework dimensions, with the executives, function leaders, and operators who actually run the work. Evidence is documented and triangulated — not summarized from a survey.
The 37 sub-components are scored against the framework, rolling up to dimension scores. Each score is backed by the evidence collected, so leadership can see why — not just what.
Findings convert into a documented AI strategy with a prioritized use case portfolio, a 30/60/90 day execution plan, and clear ownership. Recommendations are calibrated to your specific maturity profile, not generic best practice.
Findings, scorecard, and roadmap delivered to the leadership team in a working session. Roadmap handover to the internal owners who will execute it — with a follow-on advisory option if you want senior counsel during execution.
Outputs designed for the people who will actually use them — executives making decisions, function leaders running programs, and boards exercising oversight.
Six dimension scores rolling up from 37 sub-components, with the supporting evidence behind each. Benchmarks where you are; targets where the framework says you should be.
A written AI strategy tied to the business strategy — the vision, the priorities, the operating principles, and the few decisions leadership needs to commit to. Calibrated to your maturity, not generic.
An action-oriented plan with prioritized initiatives, named owners, dependencies, and success criteria. Designed to be executed by your internal team, not to require us to stay.
A documented portfolio of candidate AI use cases scored on value and feasibility, sequenced for deployment. The grid leadership uses to say no to the wrong work and yes to the right work.
Board-ready presentation summarizing findings, recommendations, and the path forward. Built for the audience that will sponsor the program, not for the consultants who built it.
The artifacts your internal owners need to run the roadmap themselves — templates, frameworks, and the working models behind the scorecard, transferred so the capability stays with you.
A 30-minute call to understand your situation and determine whether the Assessment is the right next step. No pitch deck.
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