Invest in AI where it counts
Most companies launch AI projects before they know whether they are ready, which problem creates the most value and in which order investments pay off. We turn that uncertainty into a solid foundation: an honest readiness assessment, use cases with a substantiated business case and a sequenced roadmap.
AI Readiness Assessment
Strategy, data, technology, people and governance: we rate all five dimensions on a scale of 1 to 5 and show which gaps need to close before larger investments.
Use Case Definition & Evaluation
Problem first, technology second. We identify use cases inside your processes and evaluate them by impact, feasibility and strategic fit.
Prioritisation & Roadmap
We sequence your AI portfolio in waves, start with quick wins and build the competence and confidence for larger initiatives.
Why AI so often fails
95% of GenAI pilots deliver no measurable business impact.
That is the core finding of the MIT study "The GenAI Divide: State of AI in Business 2025" (Project NANDA). Only about 5% of enterprise pilots generate measurable P&L impact. The cause is rarely the model. It is the wrong problem selection, missing readiness and AI that never gets integrated into real daily work. We address exactly these three points first.
Book a callMethodology
Four steps to your AI roadmap
Assess readiness
Five dimensions, honest self-assessment, clear gap analysis: we provide the baseline for realistic AI goals instead of vendor narratives.
Define use cases
We map friction in your processes and translate it into AI opportunities. Problem-driven instead of technology-driven, with the teams who know the daily work.
Evaluate objectively
Impact, feasibility, strategic fit. Every use case gets an AI Use Case Canvas with data requirements, cost estimates and ROI assumptions.
Sequence & launch
Impact-feasibility matrix and weighted scoring define the order: quick wins first, then competence and confidence for the scalable initiatives.
The content
What you get in concrete terms
Three building blocks, compact and actionable. No theory marathon but decision foundations your team can use right away.
AI readiness: the foundation
AI readiness is your organisation's ability to adopt and scale AI. It spans five dimensions that together determine maturity. Excellent technology cannot compensate for weak data or governance.
AI initiatives with active executive sponsorship are three times more likely to succeed than those without.
Strategic alignment
AI vision, executive sponsorship, prioritised use cases.
Data maturity
Quality, accessibility and governance of your data. The most common bottleneck for AI success.
Technology infrastructure
Cloud platforms, tooling and MLOps capabilities for production operations.
People & culture
Skills, continuous learning and a culture that allows experimentation.
Governance
Policies, roles and risk management for responsible AI deployment.
Use cases: problem first
Successful AI starts with the question: "Which business problem causes the greatest friction?" instead of "Where can we apply AI?". We evaluate every use case by impact, feasibility and fit before a single euro is invested.
Companies with formal evaluation methods achieve 2.3x higher ROI from AI initiatives (Deloitte).
Structured opportunity analysis
5P framework and Jobs-to-be-Done uncover opportunities across all departments, including the interfaces between them.
AI Use Case Canvas
Problem, KPIs, data requirements, AI approach, cost and benefit on one page. Assumptions become verifiable.
Price in data reality
60 to 80% of project time flows into data preparation. We assess your data reality before making promises.
Business case
Conservative ROI forecast with clear success metrics, documented and board-ready.
Prioritisation & sequencing
An AI portfolio is an investment portfolio. Running too many pilots at once loses focus, talent and credibility. We prioritise with weighted scoring and plan in waves that build competence and confidence.
Companies running too many parallel pilots achieve 60% lower success rates (BCG).
Impact-feasibility matrix
Implement quick wins first, plan strategic bets, shelve low-impact initiatives, avoid expensive accidents.
Focus instead of spread
Two to three concentrated initiatives instead of seven half-finished ones. Talents spread everywhere deliver mediocrity everywhere.
Wave planning
Wave one delivers measurable results in 90 to 180 days and funds the confidence for wave two.
Quarterly review
Regular portfolio review: continue, redirect or stop. This prevents zombie projects.
Your next step
Let's discuss your AI strategy and roadmap.
Tell us where your company stands today and what you want to achieve. We will get back to you within 24 hours with an initial view on readiness, use cases and the right sequence.