How aligned are your senior leaders on why you are investing in AI and what success looks like?
Score 1 AI is mostly buzzword-level; no clear leadership alignment. Score 2 A few leaders are engaged, but priorities differ by function. Score 3 Leadership is broadly aligned, though not fully documented. Score 4 Clear, shared AI agenda discussed regularly at the top table.
How clear and outcome-linked is your AI strategy today?
Score 1 No documented AI strategy; mostly vendor-driven ideas. Score 2 Some strategic themes exist but are loosely defined. Score 3 A working AI strategy exists, tied to key business goals. Score 4 A sharp, outcome-linked AI strategy endorsed by leadership and board.
How ready is your data for AI use cases (quality, access, governance)?
Score 1 Data is fragmented, siloed, and poorly governed. Score 2 Some critical data is usable, but quality and access are uneven. Score 3 Data for key AI use cases is in reasonable shape, with known gaps. Score 4 Strong, governed data foundation with clear owners and standards.
How mature is your cloud and AI platform stack to support current ambitions?
Score 1 No coherent cloud/AI platform; mostly point solutions. Score 2 Initial platform decisions made, patchwork of tools in use. Score 3 Defined platform strategy with chosen providers and reference patterns. Score 4 Well-architected, scalable platform with clear roadmaps and standards.
How strong is your internal capability to shape, deliver, and govern AI initiatives?
Score 1 Very limited AI skills; heavy dependence on vendors. Score 2 Small core team plus scattered skills across the organization. Score 3 Dedicated team with solid coverage of key AI capabilities. Score 4 Highly capable, cross-functional AI team with clear governance and career paths.
How open is your culture to AI-driven change and new ways of working?
Score 1 High skepticism or fear; AI seen as threat or buzzword. Score 2 Mixed attitudes; some champions, some resistance. Score 3 Broadly open to AI with pockets of resistance. Score 4 Curious, experimentation-friendly culture with psychological safety around AI.
How robust are your responsible AI, risk, and compliance guardrails?
Score 1 Almost no AI-specific governance in place. Score 2 Ad-hoc guardrails and policies; coverage is inconsistent. Score 3 Structured governance with defined roles and review processes. Score 4 Mature, auditable AI governance aligned with regulatory expectations.
How disciplined are you in selecting and prioritizing AI use cases?
Score 1 Opportunistic and vendor-driven; lots of disconnected ideas. Score 2 Some prioritization, but many PoCs still compete for attention. Score 3 Curated backlog with value and feasibility considered. Score 4 Clear, value-anchored portfolio with ruthless prioritization and kill criteria.
How capable are you of taking AI pilots into production and scale?
Score 1 Most initiatives stay as pilots or proofs of concept. Score 2 A few pilots have scaled; many still stall at handoff. Score 3 Proven patterns for taking AI into production in select domains. Score 4 Reliable, repeatable pathway from idea to scaled product with supporting teams.
How well do you track and communicate business impact from AI?
Score 1 Impact is anecdotal or not measured at all. Score 2 Some use cases have KPIs, but reporting is inconsistent. Score 3 Key initiatives have defined KPIs and periodic reviews. Score 4 Clear, consistent impact measurement with executive and board-level reporting.
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