>> Data & AI strategy //
AI potential. Structured. Effective.
AI is used, but not strategically controlled
Many companies are already working with AI. The first pilots are underway, individual use cases have been launched and management interest is high. Nevertheless, there is often no common understanding of where AI will really have an impact and how a scalable approach can be developed.
There is usually no clear prioritization, no uniform architecture and no defined next step. This is precisely where the Data & AI Strategy comes in.
In practice, a similar pattern emerges: AI is available, but not strategically managed. Pilots remain isolated, scaling is rarely successful. At the same time, there is a lack of a clear entry point and a common direction between management, specialist departments and IT. The EU AI Act also increases the pressure to act.
Three forces are driving this development: processes and production need AI to make better decisions. AI potential must be identified and prioritized in a structured manner. Regulation and competition ensure that AI can no longer just be used experimentally.
Four steps
to a data & AI strategy
A Data & AI Strategy brings structure to precisely this initial situation and leads step by step to implementation.
Clarify focus
Where does the greatest AI benefit arise in the company?
Structuring potential
Which use cases really have an impact?
Develop target image
What does structured AI use look like?
Derive a roadmap
Which steps you will actually implement.
Packages & services
From the initial overview to concrete implementation, we accompany you on the path to the Digital Product Twin. Choose the package that suits your current needs and maturity level.
Let's Start
Orientation workshop
(2-4 hours)
Contents:
- Short workshop on AI positioning
- Initial classification of relevant data and AI potentials
- Overview of possible use case fields
- Management summary
Benefit:
Quick clarity about the current level of AI maturity in the company and initial orientation as to where AI can really have an impact.
Package s
Inspiration
Understanding and classifying AI potential
Contents:
- AI positioning
- Analysis of existing use cases
- First areas of potential
- Target image
Benefit:
Clarity about the current AI maturity level and first prioritized fields of action in the company.
Package m
Innovation
Strategically structuring AI and making it usable.
Content:
- Everything from S
- Prioritized Use Cases
- Architectural Requirements
- Business Model Analysis
Benefits:
A structured roadmap for AI in the organization, as well as clear priorities for scalable applications.
Package L
Integration
From AI Strategy to Implementation
Content:
- Everything from M
- Implementation Planning
- PoC Support
- Scaling Planning
Benefits:
A concrete roadmap for implementing AI use cases, as well as support for deployment and scaling.
From real-world experience
SEQLY Cases
Taking off together
Do you have any questions, would you like to discuss a project or are you looking for a direct line to our team? Simply use the contact form. You will also find your personal contact directly below.
Let's talk!
