AI Execution Sprint to develop a clear AI Roadmap
Stop planning. Start building.
Most companies are stuck in experimenting with AI and don't know how to turn AI into results. AI strategies stay in well-designed slide decks.
Our AI Execution Sprint delivers differently:
In 4-6 weeks, you get 3-5 validated use cases with a first prototype, and a 12-month roadmap ready for execution and scaling in your organisation. The Sprint is a structured process and framework with governance from the start.
We don’t stop at strategy; you will get the next steps for implementation and integration.
Who is this for?
You’re ready to move from “AI exploration and experimentation” to real implementation.
You need concrete use cases, not generic AI advice.
You want results in weeks, not months.
You lack execution clarity and aligning employees and all stakeholders.
You want a framework to scale AI within your organisation and a system that makes AI reliable.
Outcome
3–5 Validated AI Use Cases
Each documented with: problem statement, workflow design, data requirements, ROI estimate, implementation roadmap.
Working Prototype for Your #1 Use Case
Functional proof-of-concept you can test with real data – not just diagrams
12-Month AI Roadmap
Quarterly milestones, resource requirements, quick wins vs. strategic initiatives.
Ready-to-Launch Pilot Brief
Scope, success metrics, timeline, team structure, budget – board-ready for immediate approval
Governance Framework
Decision rights, data management guidelines, risk mitigation, compliance basics
AI Use Case and Strategy Sprint Process
Step 1
AI Opportunity Mapping & Reality Check
Goal: Identify your highest-impact AI opportunities.
- Joint exploration of existing workflows: Performance bottlenecks, value leakage, decision delays and quality inconsistencies, strategic priorities and constraints
- AI readiness and feasibility assessment for use case prioritisation: Business value potential and ROI, data availability, technical constraints, organisational readiness, risk-classification regarding the EU AI Act, governance score
Outcome:
Top 3-5 prioritised AI use cases with clear business impact and feasibility indicators.
Step 2
Use Case Design, Prototyping & Validation
Goal: Transform your top opportunity into a concrete, AI solution and prototype.
- AI workflow design & mapping with the right AI approach: Human-in-the-loop control points, data flows, integrations, decision points, governance check points
- Rapid prototyping: Build and test a functional proof-of-concept which validates technical feasibility and organisational fit
Outcome:
One validated use case with functional prototype, workflow design + documented use cases 2-3 for roadmap.
Step 3
Roadmap, Pilot Planning & Governance
Goal: Create a scalable AI execution plan.
We translate insights into:
- 12-month AI roadmap with sequencing logic, roles and ownership
- Pilot brief with KPIs, budget logic, and risk mitigation
- Governance foundations (decision rights, data policy, change approach)
- Board-ready decision document
Outcome:
Clear execution roadmap + ready-to-launch pilot + governance baseline for scaling.
Support Options after the Sprint (optional)
Implementation support
AI upskilling & training for people and teams
Adoption and change management
Ongoing AI advisory (monthly)