AI Strategy & Consulting
Find the right next step for AI.
We assess your workflows, data and team readiness together. We prioritize use cases and prepare a practical roadmap from pilot to implementation.
Business value × implementation effort
Data scope · Access rules · Success criteria
Is this service right for you?
01You have AI ideas but no clear order of priority.
02You need to understand whether your data and systems are ready.
03You want scope and success criteria before committing to an investment.
01 /
What this service covers
01Assess your readinessUnderstand your starting point.
Assess your readiness
We examine data sources, business processes and team capabilities together.
Work involved
- AI readiness assessment
- Data quality and access analysis
- Data strategy and constraints
What you receive
A readiness assessment and a list of gaps to address.
02Choose the right opportunitiesPrioritize business value.
Choose the right opportunities
We compare AI ideas by business value, feasibility and risk.
Work involved
- Process and opportunity discovery
- Use case definition
- Business prioritization
What you receive
A prioritized opportunity list and pilot recommendation.
03Define the technical approachChoose technology that fits.
Define the technical approach
We assess models, architecture and hosting options against your existing infrastructure.
Work involved
- AI architecture
- Model selection
- Vendor-independent technology assessment
What you receive
A reasoned technology recommendation and target architecture.
04Plan implementationTurn decisions into practical steps.
Plan implementation
We define pilot scope, responsibilities and evaluation criteria.
Work involved
- AI roadmap
- Implementation planning
- Pilot success criteria
What you receive
A pilot roadmap with dependencies and decision points.
02 / Example in practice
Scattered company knowledge
Illustrative scenario; not a client project.
- 01
Need
Teams switch between systems to find documents.
- 02
Approach
We assess sources and access rules, comparing a knowledge assistant with other opportunities.
- 03
Resulting structure
The pilot has a defined data scope, answer-quality criteria and implementation steps.
03 /
How we work
- 01
Discovery
Discuss goals, processes and constraints with your team.
- 02
Assessment
Examine data samples and opportunities together.
- 03
Decision
Choose a priority use case and technical approach.
- 04
Roadmap
Share pilot scope and subsequent decision points.
04 /
Concrete outputs
Deliverable details and scope are agreed during discovery around your needs.
- 01
A readiness assessment and a list of gaps to address.
- 02
A prioritized opportunity list and pilot recommendation.
- 03
A reasoned technology recommendation and target architecture.
- 04
A pilot roadmap with dependencies and decision points.
05 /
Frequently asked questions
Can we start without a defined AI project?
Yes. We can start by understanding your processes and needs. We also assess whether AI is appropriate for each problem.
Can you handle development after the strategy work?
We can continue with AI engineering and infrastructure services. Development scope is agreed separately based on the findings.
What should we prepare for the first conversation?
Your priority business problems, current systems and any initial use cases are a useful starting point. Sensitive data is not needed for the first conversation.
AI Strategy & Consulting
Let’s define the next step.
Share your current situation and priorities so we can find a suitable starting point together.