>AI Transformation Readiness Assessment
Get a decision-grade baseline on where AI can create value now, what is not worth building yet, and what your first operator-led move should be.
>The Problem
Around 72% of enterprises are stuck at AI maturity Levels 1–2, spending on tools and pilots without ever establishing a baseline. Without a structured assessment, investments pile up in the wrong places—AI tools get purchased, proof-of-concepts get spun up, and leadership gets optimistic roadmaps that crumble on contact with organizational reality. The gap between ambition and execution widens precisely because no one has mapped where the organization actually stands.
>Our Approach
We conduct a structured evaluation across six maturity dimensions, then translate the findings into an operator-ready priority stack: where AI can create value now, which workflows or offers are not ready yet, and what should happen in the next 90 days. The output is not a generic maturity readout. It is a decision-grade plan that helps leadership choose the right first move and avoid expensive distraction.
Intake & Stakeholder Interviews
We conduct structured interviews with key stakeholders across engineering, product, and leadership to capture ground-truth perspectives on AI adoption, blockers, and aspirations.
Six-Dimension Maturity Scoring
Each dimension is assessed against our benchmark dataset using a 1–5 scoring model, producing a weighted composite score and a dimension-level breakdown.
Gap Analysis & Tier Mapping
We map your scores against tier thresholds, quantify the investment and effort required to close each gap, and sequence the opportunities by impact and feasibility.
Executive Presentation & Action Plan
We deliver a board-ready presentation and a 90-day action plan with named owners, dependencies, and success criteria—ready to present the week after engagement closes.
>What You Get
- —AI Maturity Scorecard (6 dimensions, 12 core metrics plus deep-dive sub-scoring across 40+ data points)
- —Gap analysis with tier-by-tier investment requirements
- —Recommended service tier and sequencing rationale
- —Executive presentation with board-ready narrative
- —90-day action plan with owner assignments
>Benchmark Targets
| Metric | Baseline | Target | World Class |
|---|---|---|---|
| AI Tool Adoption Rate | <30% of eligible roles using AI tools | 60–80% active adoption | 85%+ with measured productivity lift |
| Governance Maturity | No formal AI policy or usage standards | Written policy covering 4+ governance pillars | Automated compliance and quarterly reviews |
| Assessment Completion Time | No baseline exists | Full 6-dimension scorecard in 3 weeks | Continuous maturity tracking via dashboard |
Navigating Ambiguity to Launch an Enterprise AI Copilot
How we applied the full A→B→C framework to guide an enterprise AI Copilot from architectural review through delivery transformation, establishing governance and process foundations for AI-first development.
Read the full case study →