AI Consulting
“We need an AI strategy.” In most companies, this sentence leads to one of two outcomes: either AI consulting is bought that implements technology before it is clear which problem needs solving. Or an innovation project is started that ends after 6 months without measurable business value.
AI consulting at Aydoo works differently. We don’t ask “Which AI tools are there?” but “Where does AI change your business model, competitive position, and value chain?” The answer determines the strategy — not the technology.
Format
| Duration | 8-12 weeks |
| Phases | AI system analysis → AI bottleneck → AI lever → roadmap + piloting |
| Participants | CEO + relevant department heads |
| Deliverable | Validated AI strategy + prioritized roadmap + initial pilot results |
| Investment | Mid to high five-figure range (EUR) |
Does this format fit? → Schedule a conversation
Process
Phase 1: AI System Analysis (Weeks 1-3)
We map your business model and value chain with a focus on AI relevance: Which processes are AI-capable? Where does AI change the competitive dynamics in your industry? What data assets do you have — and what is missing? The result is an AI system map showing where AI has strategic relevance.
Phase 2: AI Bottleneck and AI Lever (Weeks 4-7)
Based on the system map, we identify the bottleneck: Where does AI have the greatest business value? Is it cost reduction (automation), quality improvement (prediction, recommendation), or new revenue streams (AI-powered products)? And: What prevents you from realizing this value today? Data quality? Processes? Competencies?
The lever is identified: not the most obvious AI project, but the most effective. The Engpasskonzentrierte Strategie (EKS), developed by Wolfgang Mewes, combined with leverage point analysis after Meadows, reveals the point with the greatest leverage effect.
Phase 3: Roadmap and Piloting (Weeks 8-12)
The AI roadmap is created: prioritized use cases with ROI estimates, timelines, and resource requirements. For the top use case, we start a pilot: feasibility check, data validation, initial results. You see concretely whether the AI hypothesis holds — before you scale.
What Sets AI Consulting Apart from AI Implementation
| AI Implementation (others) | AI Consulting (Aydoo) | |
|---|---|---|
| Starting point | ”Which AI tool do we need?" | "Where does AI change our business model?” |
| Method | Technology assessment, PoC | System analysis + bottleneck analysis + leverage point |
| Deliverable | Implemented tool | Validated AI strategy |
| Risk | Expensive tool without business value | Strategy that maximizes business value |
| Who | IT department | CEO |
Results from Practice
Starting point: The board wanted an “AI strategy,” three departments had started uncoordinated pilots. The AI system analysis showed: the bottleneck was not missing AI tools but missing data quality in the credit process. All AI pilots were built on unreliable data. Lever: data cleansing before AI deployment. Result: credit decision time reduced from 14 to 3 days — through data quality, not AI models. Only then: AI-powered risk assessment on a clean data basis.
Starting point: Competitors were using AI-powered personalization, own team unsure where to start. The system analysis showed: the greatest lever was not product recommendation (data was too thin there) but return prediction — a cost driver that competitors ignored. AI roadmap with return prediction as the first use case. Pilot result: return rate reduced by 12% in 3 months.
Frequently Asked Questions
What does AI consulting cost?
An AI consulting project is in the mid to high five-figure range (EUR) — depending on scope and complexity. You receive a binding fixed-price offer upfront after a no-obligation initial conversation.
What is the difference from the AI Potential Workshop?
The AI Potential Workshop identifies the most important AI levers in 1-2 days and creates a roadmap. AI consulting implements this roadmap: over 8-12 weeks, we develop the AI strategy, validate use cases, and support implementation.
Do you also implement AI systems?
No. We consult strategically — not technically. We identify where AI has the greatest business value and support implementation up to tool selection and piloting. Technical implementation is handled by specialized partners or your own team.
Do we need a CTO or IT lead for the project?
Not necessarily. AI consulting is a CEO topic, not an IT topic. A technical contact is helpful for implementation planning, but the strategic decisions are yours.
How long does an AI consulting project take?
Typically 8 to 12 weeks. Phase 1 (AI system analysis) takes 2-3 weeks, Phase 2 (bottleneck and lever) 3-4 weeks, Phase 3 (roadmap and piloting) 3-4 weeks. The timeline adapts to your availability.
What happens after the project?
You have a validated AI strategy with prioritized roadmap, initial pilot results, and clear decision bases for next investments. Optional: strategy sparring for ongoing support.
Related Services
- AI Potential Workshop — Entry point: identify AI levers in 1-2 days
- Business Design — Business model development and validation
- Business Model Analysis — Half-day diagnosis as entry point
- Strategy Sparring — Ongoing support after the project
Next step: Not sure if you need a full AI consulting project? The AI Potential Workshop clarifies that in 1-2 days.
