AI Opportunity Assessment
A structured, workshop-driven engagement that identifies, scores, and prioritises AI opportunities across your business — and hands you a roadmap you can act on immediately.
Engage when
- Leadership has asked for an AI strategy and you need a structured answer, not another internal meeting
- Competitors are shipping AI features and your roadmap does not yet have a credible response
- Scattered AI experiments exist across the business with no coordination or measurable outcomes
- The EU AI Act compliance deadline (August 2026) creates regulatory urgency
- A new CEO or CDO mandates an AI strategy within 90 days
The engagement
The AI Opportunity Assessment is a 2-3 week, workshop-driven engagement that identifies, scores, and prioritises AI opportunities across your business. It produces the structured answer to "where should we apply AI?" — grounded in what AI can actually do today, what your data and systems can support, and where the business impact justifies the investment.
This is not a build engagement. It is not a technology evaluation. It is the starting point for organisations at the beginning of their AI journey — or those with scattered, uncoordinated AI activity that needs structure. It precedes deeper engagements such as the AI Architecture Diagnostic (which assesses existing AI architecture) and the AI Decision Sprint (which resolves a specific AI decision). This engagement answers the question that comes first: where should we focus?
Process
Business Context & Discovery
Week 1
AI Opportunity Identification & Analysis
Week 2
Prioritisation & Roadmap
Week 3
Business Context & Discovery
Week 1
AI Opportunity Identification & Analysis
Week 2
Prioritisation & Roadmap
Week 3
Deliverables
- AI Opportunity Register
Complete inventory of identified AI opportunities with business impact and stakeholder mapping
- Feasibility Scorecard
Each opportunity scored on Technical Feasibility, Data Readiness, Organisational Readiness, Expected ROI (1-5 scale)
- Prioritisation Matrix
Visual matrix plotting all opportunities by impact vs feasibility in four quadrants
- Business Case Summaries (Priority Opportunities)
2-3 page summaries with problem statement, AI approach, estimated effort, expected value, risks
- AI Readiness Overview
Assessment across Data, Infrastructure, Talent, Governance, Culture dimensions
- Implementation Roadmap
Sequenced plan across three horizons (0-6, 6-12, 12-18 months)
- Executive Presentation
Executive-ready deck with the Prioritisation Matrix as the centrepiece
Who This Is For
Typical Buyers
CEO, COO, CDO, CTO, CIO, VP Strategy/Innovation
Industries
Any mid-market enterprise exploring AI adoption. Domain depth in insurance, banking, and financial services
Why Sparkling Neuronics
- Proven methodology. This exact engagement format was refined and delivered repeatedly at a leading technology consultancy — facilitated AI Assessment workshops with enterprise clients, identified opportunities across business domains, scored feasibility, and produced prioritised roadmaps. A repeatable, refined methodology with real client delivery behind it, not a framework assembled from blog posts.
- AI depth that separates hype from reality. Built production AI platforms including a multi-agent system and an AI agentic tool for legacy code analysis, scaling from 2-3 to 15+ engineers. Can distinguish genuinely feasible AI applications from vendor hype. Every feasibility score is grounded in what current AI technology can actually deliver in production — not what a demo looks like on a conference stage.
- Enterprise architecture judgment. 15+ years across a tier-1 strategy consultancy and a listed European digital services firm leading the architecture across large-scale transformation programmes in insurance, banking, and other complex enterprise environments. Recommendations account for your actual technology landscape — integration constraints, data architecture maturity, organisational realities — not an idealised greenfield scenario.
- Vendor-neutral, no hidden agenda. The assessment is an independent, paid deliverable — not a loss-leader for selling development hours. You own the deliverables. You can take the roadmap and execute with any team you choose — internal, external, or a combination. No lock-in, no proprietary frameworks.
Part of these journeys
This engagement is a step in these playbooks. See the full plan if you want the longer arc.
Related Services
Explore complementary services that build on this engagement.
AI Decision Sprint
Clarity on your most pressing AI decision — in one week, not five months.
AI Architecture Diagnostic
A focused, principal-led assessment of your current architecture, AI landscape, and the shortest credible path forward.
AI Solution Architecture & Design
Complete solution architecture for an identified AI opportunity — technology selection, integration design, data strategy, team specification, and governance framework. Build-ready output an engineering team can implement from day one.
Ready to discuss AI Opportunity Assessment?
No commitment. Confidential. A direct conversation to understand your situation and explore how we can help.