// AI Strategy Protocol
AI Strategy.
Roadmap that ends in code.
87% of AI projects fail. Not because of technology — but because of wrong use cases, missing data, and no plan. We develop AI strategies that end in prototypes, not 200-page decks.
// The Problem
Why AI projects
fail without strategy.
Source: Gartner, VentureBeat, MIT Sloan. The number hasn't improved significantly in 5 years — because most companies start with technology instead of strategy.
Wrong Use Cases
Technically interesting but not business relevant. No measurable ROI, no stakeholder buy-in.
Missing Data
No data governance, poor quality, siloed systems. AI needs data — and most companies aren't ready for it.
No Organizational Readiness
Missing skills, resistance to change, no C-level mandate. Technology alone doesn't solve organizational problems.
Tool Chaos
10 departments, 10 AI tools, zero integration. Without a technology strategy, individual experiments accumulate without systemic value.
// Our Framework
From readiness
to production in 6 steps.
AI Readiness Check
Where does your company stand? Processes, data, team, tech stack — we analyze the status quo and identify blockers before building anything.
Use Case Discovery
Workshop with your team: Which processes eat the most time? Where is the data? What has the highest impact? We prioritize by business value ÷ implementation effort.
Technology Decision
Open source vs. commercial? Self-hosted vs. cloud? Which LLMs, which tools, which architecture? We decide based on your requirements — not on vendor partnerships.
Prototype Sprint
The most important use case becomes a working prototype. In 2-4 weeks. With real data, real APIs, measurable results. This is where strategy becomes code.
Roadmap & Scaling Plan
Phased plan: which use cases come next? What budget and resources are needed? Milestones, KPIs, governance structure. Your AI roadmap for the next 12-18 months.
Implementation Support
We stay on board: AI consulting, agent development, automation, workshops. Strategy without execution is worthless — we deliver both.
// Where Are You?
Three maturity levels.
One goal: production.
Curious
"We know AI is important, but don't know where to start." You need: AI Readiness Assessment, use case workshops, first orientation.
Piloting
"We've tried individual tools, but nothing is in production." You need: strategic prioritization, prototype sprint, technology consolidation.
Scaling
"We have first AI systems running and want to scale." You need: architecture review, multi-agent strategy, team enablement, governance.
// Deliverables
What you get
from our strategy.
AI Readiness Report
Status quo, strengths, gaps, action items. Clear assessment of where your company stands.
Use Case Portfolio
Prioritized by impact ÷ effort. With tech requirements, data needs, and estimated ROI for each case.
Implementation Roadmap
12-18 month plan with phases, milestones, budget, and resource requirements. Your AI strategy in actionable format.
Technology Blueprint
Architecture decisions, tool selection, integration plan, GDPR compliance check. Technical foundation for all future AI projects.
Working Prototype
Not a deck. A functional AI system for the highest-impact use case. Running on your infrastructure.
Executive Summary
C-level ready overview: business case, ROI projection, risk assessment, next steps. For board presentations and budget approvals.
Every strategy engagement ends with working code. If it doesn't ship, it's not strategy — it's theater.
// FAQ
Frequently Asked Questions
About AI Strategy.
What is an AI strategy?
An AI strategy defines which use cases deliver the highest business value, which technologies are used, what data is needed, and how the organization must develop. It's not a technology plan — it's a business plan with AI as a lever.
Why do most AI projects fail?
87% never reach production. Most common causes: wrong use cases (technically interesting but not business relevant), missing data (quality, access, governance), and no organizational readiness (missing skills, resistance, no C-level mandate).
How long does an AI strategy take?
AI Readiness Assessment: 1-2 weeks. Strategy with roadmap: 3-4 weeks. With first prototype: 6-8 weeks. We work iteratively — not months of analysis paralysis, but fast validation of assumptions.
What does an AI strategy cost?
AI Readiness Check from 3,000 EUR, Full strategy with roadmap from 8,000 EUR, Strategy + Prototype from 15,000 EUR. Every strategy pays for itself through the first implemented use case.
Do I need an AI strategy as an SME?
Especially as an SME. Without a strategy, you burn budget on the wrong tools and use cases. With a strategy, you start with the highest-impact use case, achieve quick wins, and scale systematically.
What's the difference to big consulting firms?
McKinsey, BCG & Co. deliver 200-page decks and then leave. We deliver a 20-page strategy AND the working prototype. We don't just advise — we build. Our daily rate is 1,800 EUR, not 5,000+.
// Start Strategizing
Your AI strategy
starts with a call.
30-minute Discovery Call — free of charge. We assess your AI readiness, identify the highest-impact use case, and show you the path to production.
Book Discovery Call