A structured, outcome-driven workshop to define your AI strategy and an actionable roadmap - governance, platforms, use cases, and delivery phases.
AI programmes commonly stall when organisations start with tools rather than outcomes, operating model, and governance. Microsoft’s Cloud Adoption Framework (CAF) includes AI adoption guidance, including steps to create an AI strategy and to translate that strategy into an actionable plan that aligns initiatives to business goals while addressing skills, resources, and timelines.
LW IT Solutions delivers an AI strategy and roadmapping workshop that turns ambition into a delivery-ready plan. We define priority outcomes, establish decision criteria, identify feasible use case pathways, and agree the platform and data prerequisites. You leave with a phased roadmap - quick wins, foundations, and scale - plus a practical governance model so delivery can proceed with control, clarity, and measurable success metrics.
Talk through your requirements and leave with a clear next-step plan.
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Service Overview
Highlights
- Outcome-led AI strategy focused on delivery viability
- Clear linkage between use cases, platforms, and governance
- Phased roadmap with quick wins and scale considerations
- Explicit focus on readiness and risk, not just ideas
- Designed to guide real delivery decisions
Business Benefits
- Clear direction for AI investment linked to defined business outcomes
- Reduced risk of stalled initiatives by agreeing platforms, governance, and prerequisites upfront
- Prioritised use cases with an agreed rationale for what to do now, next, and later
- Improved stakeholder alignment on scope, expectations, and success measures
- A practical roadmap that supports delivery rather than high-level intent
Typical use cases
- Starting an AI programme without a clear strategy or roadmap
- Multiple disconnected AI initiatives with no common direction
- Executive demand for AI outcomes without agreed delivery constraints
- Need to align Copilot, Azure AI, and custom solutions into a single plan
- Requirement to define governance before scaling AI use cases
Objectives & deliverables
What Success Looks Like
- Define why and where AI should be applied to meet business outcomes
- Agree prioritisation criteria for AI use cases and investments
- Identify platform and data prerequisites before delivery begins
- Establish a governance model that enables controlled delivery
- Set measurable success metrics to track progress and value
What You Get
- AI strategy document (exec-facing) and a delivery-ready roadmap (workstreams + phases)
- Use case shortlist with prioritisation (value, feasibility, risk) and recommended next actions
- Readiness checklist and prerequisites plan (platform, data, identity, security)
- Governance outline: roles, approvals, guardrails, and evidence model
- Optional 90‑day ‘start plan’: pilot(s), success metrics, and delivery cadence
How It Works
- Pre‑work - short discovery to gather context: current state, constraints, stakeholders, priorities.
- Workshop - facilitated sessions to define outcomes, use cases, platform readiness, and governance.
- Roadmap build - consolidate outputs into a phased plan with dependencies, owners, and metrics.
- Playback - stakeholder readout, refinements, and agreement on next steps and delivery cadence.
Engagement Options
- Strategy Workshop - Single workshop to define direction and priorities
- Workshop Plus - Strategy workshop with extended roadmap and start plan
- Programme Kickoff - Strategy and roadmap delivered as the first phase of a wider AI programme
Common Bundles
Customers who use this service often bundle with these services
AI Use Case Discovery & Value Assessment
Structured AI use case discovery to identify, score, and prioritise opportunities, producing a delivery-ready backlog with feasibility and value assessment.
Azure AI Foundry Enablement & Solutions
Stand up Azure AI Foundry to deliver governed, production-ready AI solutions with secure deployment, model evaluation, and operational handover.
AI Safety, Governance & Risk
Implement practical AI safety and governance with policies, approvals, logging, data boundaries, and controls that reduce operational and compliance risk.
RAG / Chat with Your Data
Build governed RAG chat with your data solutions using secure retrieval, permissions-aware context, and measurable answer quality controls.
Frequently Asked Questions
Run an online or on-site workshop tailored to your team.
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