A focused 2-week sprint that uncovers where AI can create real value in your business, ranks every opportunity by impact and feasibility, and gives you a clear plan for what to build next.
2 Weeks
From kickoff to prioritized AI roadmap
Our discovery sprint is designed for organizations that know AI matters but are tired of pilots that go nowhere — and want a defensible plan for where to invest first.
Cut through the AI noise. Get a clear, prioritized view of where AI can move revenue, cost, or customer experience — not just where it's technically possible.
Replace scattered experiments with a defensible portfolio. Align IT and the business on which AI initiatives deserve real budget and ownership.
Identify the AI features customers will actually pay for, separate them from table-stakes integrations, and decide what to build, buy, or partner.
These are the patterns we see most often before organizations run a structured discovery sprint.
AI experiments stuck in pilot mode with no clear path to production
No shared view across leadership of where AI can actually create value
Teams chasing AI features that don't move any business metric
Pressure from the board to 'do something with AI' without a credible plan
Difficulty separating high-impact opportunities from interesting demos
Competing internal proposals with no objective way to prioritize
A structured, business-first method that turns AI from a buzzword into a ranked, defensible investment plan with clear owners and outcomes.
Identify 20+ candidate AI use cases across operations, customer-facing functions, product, and back-office — grounded in your actual business model, not generic industry lists.
Rank every opportunity by quantified business impact — revenue, cost, productivity, customer experience — so leadership can debate trade-offs with real numbers.
Score each use case on data readiness, technical complexity, vendor availability, organizational change required, and time to value.
Deep-dive business cases for the top 3 ranked use cases — including expected ROI, implementation approach, build vs. buy guidance, and key risks.
A 90-day plan to launch the top opportunity and a 12-month portfolio roadmap with owners, milestones, and decision gates.
Get a tailored scope for your organization. We respond within one business day.
Every deliverable is designed so your leadership team can make a real investment decision at the end of the sprint — not schedule another workshop.
Six structured phases across 14 days — designed to concentrate effort where it generates the most insight.
We align with leadership on business priorities, strategic goals, and the constraints (budget, capacity, risk appetite) that should shape the AI portfolio.
Through structured interviews across business units and a review of current processes, data assets, and customer touchpoints, we generate a long list of candidate AI use cases.
We score every use case on quantified business impact and on feasibility dimensions: data readiness, technical complexity, vendor maturity, and change effort.
For the top-ranked opportunities we build mini business cases: expected return, implementation approach, build vs. buy recommendation, key risks, and required capabilities.
We translate findings into a 90-day plan for the top initiative and a 12-month portfolio roadmap with sequencing, owners, and decision gates.
We present the prioritized portfolio, business cases, and roadmap to your leadership team, and support follow-up decisions on investment and ownership.
No hourly surprises. You know the cost and the deliverables before we start.
Discovery Sprint
From €2,500
2-week fixed engagement
Everything included
Final pricing depends on organization size, number of business units in scope, and depth of business-case modeling required.
We would rather tell you upfront than deliver a report that doesn't move your business.
Organizations looking for a list of generic AI use cases rather than business-specific opportunities
Teams that have already done this exercise and need execution support instead of strategy
Companies unwilling to share business metrics needed to quantify opportunity value
Leadership teams without enough alignment to make portfolio-level investment decisions

Prepared by our team
Our AI strategy engagements are led by Arnold Fejes and a team of senior advisors with deep experience in AI strategy, enterprise technology, and business-case-driven advisory. Every engagement is reviewed by the consulting leader before delivery to ensure recommendations are commercially defensible and decision-ready.
Tell us about your organization, your AI ambitions, and what's blocking you. We will respond within one business day with a tailored scope and next steps.