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AI Strategy & Readiness Assessment
— value first, then models

A candid assessment of where AI creates value for you, what your data and platforms can support today, and a prioritised roadmap with the business cases to fund it.

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AI Strategy & Readiness Assessment AI Strategy & Readiness Assessment
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Topics we cover
AI strategyAI readiness assessmentAI maturity modelAI use-case prioritisationAI value realisationAI ROIData readiness for AIAI operating modelBuild vs buy vs partnerFoundation model selectionMulti-model strategyAgentic AI roadmapAI risk assessmentResponsible AIAI literacy (EU AI Act Article 4)
Status quo · late 2026

What has changed — and why it matters now

01

The pilot era is over

Boards fund AI that shows return. Strategy in 2026 means choosing the few use cases with measurable value and killing the rest.

02

Buy, build and orchestrate

Most capability is bought (copilots, embedded AI) or composed from frontier APIs — Anthropic, OpenAI, Google — with build reserved for differentiating workflows and agents.

03

Readiness is data and governance

The blockers are data quality, access control, integration and skills — not model choice. AI literacy is also now a legal duty in the EU.

How we approach it

Our method for AI Strategy & Readiness Assessment

01DiscoverExecutive interviews, process mining, opportunity workshops across functions.
02AssessData, platform, security, skills and governance maturity — scored against a reference model.
03PrioritiseValue × feasibility × risk; business cases with cost-to-serve and payback.
04Roadmap12–24 month sequenced plan: quick wins, platform foundations, agentic bets.
05MobiliseOperating model, funding model, KPIs and the first delivery squads.
In depth

Assessment dimensions

Strategy & value

Alignment to business goals, portfolio, ROI tracking.

Data

Quality, lineage, access, unstructured coverage, vector readiness.

Technology

Cloud platforms, integration, MLOps/LLMOps, model access.

People

Skills, literacy, change readiness, incentives.

Governance & risk

Policies, AIMS, regulatory exposure, security posture for AI.

What you get

Deliverables

Use-case prioritisationData & infrastructure auditGovernance gap reviewRisk analysisExecution strategy
Technology-agnostic

Platforms we work across

We design for the outcome first and choose the platform second — across Microsoft, AWS and Google Cloud, and every major AI provider.

Microsoft Azure AI FoundryAWS BedrockGoogle Vertex AIAnthropic ClaudeOpenAIGoogle GeminiMistralOpen-weight models (Llama, Qwen)
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Ready to talk about AI Strategy & Readiness Assessment?

One email reaches the architects and engineers who will do the work. We reply within one working day.

info@uspc.co.uk Contact page