AI
Consulting
From readiness assessment to operational implementation - sector-specific AI strategies for mid-market companies.
Why AI projects fail
67% of all AI projects fail
not because of the technology, but because of 5 wrong decisions at the start.
No clear business case before pilot launch
Data quality not verified before training models
AI strategy not embedded in corporate strategy
Missing governance - who decides what the AI may do?
No change management support during rollout
Sources: McKinsey Global AI Survey, Gartner AI Adoption Report. No guarantees.
Sector Navigator
AI Consulting by Industry
Every sector has its own data requirements, regulations, and use cases. AME delivers industry-specific AI strategies.
Industry
Quality control, process optimization, predictive maintenance
Coming soonHealthcare
Document analysis, resource planning, patient pathway optimization
Coming soonFinance
Risk assessment, compliance monitoring, automated reporting
Coming soonLogistics
Route optimization, demand forecasting, warehouse management
Coming soonHousing
Tenant service automation, operating cost analysis, vacancy forecasting
Coming soonPublic Sector
Application processes, document classification, citizen service chatbots
Coming soonAI Maturity
AI Readiness Levels
Where does your company stand? Five maturity levels from zero to AI-native.
No AI
No AI initiative, no structured data, no internal expertise.
Experiment
First pilot projects, often in silos. Data quality unclear, no governance framework.
Pilot
Defined use cases with measurable results. Data pipeline exists but not scalable.
Operational
AI is integrated into core processes. Governance, monitoring, and ROI measurement established.
AI-native
AI is a strategic competitive advantage. All decisions data-driven, continuous optimization.
Our Methodology
4 Steps to Operational AI
No proof-of-concept that ends up in a drawer. Every step has a measurable gate.
Assessment
Data quality, process maturity, governance, and change readiness systematically evaluated in 10 business days.
Strategy
Use case prioritization by business impact, feasibility, and regulatory framework. AI roadmap with concrete milestones.
Pilot
Implementation of the top use case with real data. Duration 6-12 weeks incl. change management and training.
Scale
Roll-out to further processes and locations. Governance framework, monitoring dashboard, and internal competence team.
Perspective Shift
“The most expensive AI investment is not the project that fails - it is the project that seemingly works and pursues the wrong goals.”
AME STRATICON Analysis
Regulation
EU AI Act - August 2026
From August 2026, the transparency and risk management obligations of the EU AI Act apply. Companies using or planning to use AI must demonstrate risk management systems, technical documentation, and human oversight by then.
August 2026
Free Tools
Check Your AI Readiness
“AME's AI Readiness Assessment showed us that our biggest problem was not the technology, but data quality. 3 months later we had a working ML model.”
COO, Mid-market (Bavaria), 280 employees
Frequently Asked Questions
AI Consulting FAQ
AI Briefing
Monthly AI Insights for Decision-Makers
Use cases, regulation, ROI benchmarks - concisely prepared for C-level and department heads.
Ready for the next step?
Start with a free AI Readiness Check, or speak directly with an AME consultant about your AI strategy.
