Structured discovery to identify, score, and prioritise AI opportunities - producing a delivery-ready backlog with value cases, feasibility gating, and risk controls.
Most organisations have dozens of AI ideas but struggle to convert them into a credible delivery pipeline. The challenge is rarely creativity; it is feasibility, data readiness, governance, and measurable business impact. Microsoft’s Cloud Adoption Framework (CAF) AI guidance emphasises aligning AI initiatives to business strategy and creating a plan that addresses people, process, governance, and technology prerequisites so adoption can be executed successfully.
LW IT Solutions runs a use case discovery engagement that produces a decision-ready shortlist - not a brainstorming session. We work with stakeholders to capture real pain points, translate them into use case statements, and score them using value, feasibility, and risk criteria. You receive a prioritised backlog with recommended solution patterns (automation, copilots/agents, RAG, analytics), prerequisite actions (data, security, access), and clear next steps for proof-of-value and production delivery.
Talk through your requirements and leave with a clear next-step plan.
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Service Overview
Highlights
- Structured discovery focused on real business problems
- Consistent scoring model across value, feasibility, and risk
- Clear linkage to solution patterns such as automation, copilots, and agents
- Explicit identification of data and governance prerequisites
- Outputs designed to support delivery decisions
Business Benefits
- Clear prioritisation of AI opportunities based on value, feasibility, and risk
- Reduced investment in low-viability ideas through early feasibility gating
- Shared understanding of data, security, and platform prerequisites
- Decision-ready backlog that supports funding and delivery planning
- Improved alignment between business stakeholders and delivery teams
Typical use cases
- Large volume of AI ideas with no clear prioritisation
- Pressure to demonstrate AI value quickly without clear feasibility
- Uncertainty around data readiness or platform suitability
- Need to justify investment in AI initiatives to sponsors
- Early-stage AI programmes requiring a credible starting backlog
Objectives & deliverables
What Success Looks Like
- Identify AI use cases aligned to measurable business outcomes
- Assess feasibility and risk before committing to delivery
- Prioritise initiatives using transparent and repeatable criteria
- Define prerequisites required to move into proof-of-value or production
- Create a backlog that supports phased and controlled AI adoption
What You Get
- Documented AI use case catalogue with problem statements and target outcomes
- Value sizing and feasibility assessment for each shortlisted use case
- Risk and dependency log covering data, access, security, and compliance factors
- Prioritised backlog with recommended solution patterns and platforms
- High-level delivery sequence with suggested proof-of-value next steps
How It Works
- Kick-off & context - confirm goals, stakeholders, constraints, and scoring criteria.
- Discovery - capture opportunities through interviews and workshops; define use case statements and success measures.
- Scoring & feasibility - assess value, feasibility, risk, and prerequisites; map to solution patterns and platforms.
- Prioritisation - build a ranked backlog with rationale, dependencies, and a recommended delivery sequence.
- Playback - executive readout and agreement on next steps (proof-of-value and/or roadmap build).
Engagement Options
- Focused Discovery - Short engagement targeting a specific function or process
- Enterprise Discovery - Broader discovery across multiple teams or domains
- Discovery Plus - Discovery with follow-on roadmap or proof-of-value planning
Common Bundles
Customers who use this service often bundle with these services
AI Strategy & Roadmapping Workshop
Define AI strategy and delivery roadmap through a focused workshop covering use cases, platforms, governance, risks, and measurable success metrics.
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.
RAG / Chat with Your Data
Build governed RAG chat with your data solutions using secure retrieval, permissions-aware context, and measurable answer quality controls.
n8n Workflow Automation
Design and build n8n workflows with secure self-hosting, secrets management, governance, and production-ready automation across integrated systems platforms.
AI Safety, Governance & Risk
Implement practical AI safety and governance with policies, approvals, logging, data boundaries, and controls that reduce operational and compliance risk.
Frequently Asked Questions
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