AI Strategy & Transformation Support

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Many companies work with AI — but without a future-proof vision.

Most visions are built around today’s capabilities, while AI moves forward in three‑month cycles. The result: strategies become outdated before they ever reach production. We define your AI vision from the “day after tomorrow” and translate it into an executable plan. That’s how we take your AI transformation out of chance: we establish your baseline, set an ambitious target for exponential growth, and build the operating model that sustainably changes your P&L.

We Replace Actionism with Focus

Radical prioritization: Identifying use cases with true 10× potential.

Objective measurement of your AI maturity compared to the market.

Resilient roadmap: A transformation plan that unites business goals and technical feasibility.

The three building blocks of AI strategy consulting

AI Maturity & Benchmarking: Know Where You Stand.

A transformation needs a starting point. We use our data-driven maturity model to analyze your capabilities in strategy, data, and technology. You will see black on white where you stand compared to the "Shapers" (market leaders) and where your biggest gaps lie.

Ambition & Target State: Know Where You Want to Go

Together, we define the role AI will play in your business model. Do you want to increase efficiency or create new products? We develop an AI vision that is ambitious enough to motivate and realistic enough to be executed.

Portfolio & Roadmap: Know How to Get There

Engineering resources are scarce. We evaluate your use case ideas based on value and feasibility. The result is a refined portfolio and a roadmap that shows, step-by-step, when to launch which initiative to achieve the fastest possible impact.

Why appliedAI is the right partner for your AI transformation

Engineering Reality:

We develop strategies that technically work. We anticipate what AI will be able to do tomorrow—and what it won't.

Ecosystem Benchmark:

Our recommendations are based on data from collaborating with over 100 leading companies.

Outcome Focus:

We optimize not for the number of pilots, but for the roadmap's measurable value contribution.

Europe’s AI Champions Trust Us

Track record, not promises.

Over 250 companies, including 23 of the 40 DAX corporations, build on our 8+ years of expertise. With 100+ experts and over 70 implemented applications, we deliver scalable results.

Highest AI expertise, professional collaboration, measurable results: With appliedAI, we were able to successfully and sustainably implement our strategic application.

Applied AI Quote Rolf Buch CEO Vonovia SE

Rolf Buch – CEO (until Jan. 2026), Vonovia SE

Collaborating with appliedAI’s AI Governance Working Group has been invaluable for us. The structured approach, coupled with real-world case studies and open dialogue, ensures we not only stay compliant with the EU AI Act but also build efficient governance models that keep AI innovation front and center.

Dirk Wacker
Giesecke+Devrient

The appliedAI Risk Classification training significantly improved our understanding of the EU AI Act's implications for projects at Roche. We discussed six real life use cases in detail and it was eye-opening.

Dr.-Ing. Anna Osberghaus
Roche Diagnostics GmbH

Collaborating with appliedAI’s AI Governance Working Group has proved very rewarding. Organizers are always prepared, participants bring a wealth of insights. It’s a unique forum to effectively brainstorm and stay ahead of the AI governance curve.

Geoffroy Pavillet
Data Protection Counsel, Linde GmbH

appliedAI has helped Nokia Standards in the ambitious endeavor to upskill each and every team member to be a good AI Citizen. Together with appliedAI we have jointly tailored an AI literate curriculum exactly addressing the needs in our organization.

Prof. Dr.-Ing. Ingo Viering
Department Head RAN Architecture, Senior Research Manager Nokia Standards

Highest AI expertise, professional collaboration, measurable results: With appliedAI, we were able to successfully and sustainably implement our strategic application.

Rolf Buch – CEO (until Jan. 2026), Vonovia SE

Dirk Wacker
Giesecke+Devrient

Dr.-Ing. Anna Osberghaus
Roche Diagnostics GmbH

Geoffroy Pavillet
Data Protection Counsel, Linde GmbH

Prof. Dr.-Ing. Ingo Viering
Department Head RAN Architecture, Senior Research Manager Nokia Standards

Read our Case Studies

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Make your company a winner in the AI age – with strategy, execution, and speed.

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About us

FAQs

How do we prevent our AI strategy from becoming obsolete before it's implemented?

By thinking in dynamic roadmaps instead of rigid 5-year plans. We define a clear vision (North Star), but plan the implementation in iterative horizons (90 days, 6 months, 1 year) to react to technological leaps.

How Do We Prioritize the Right Use Cases?

We use an Impact/Feasibility Matrix. We evaluate business value (revenue/cost) against technical complexity (data availability/model maturity). Only what lands in the top right makes it onto the roadmap.

How Can I Determine My Company's Current AI Maturity?

Your company's current AI maturity can be determined using a structured AI Maturity Assessment based on a proven AI maturity model. The assessment evaluates strategy, data, technology, organization, and skills to determine how deeply Artificial Intelligence is anchored in your company and what maturity level has been reached.

As part of professional AI consulting, the assessment creates a resilient foundation for an AI strategy within the company and clearly shows which gaps must be closed before developing an effective AI roadmap. This creates the basis for scalable AI transformations and a sustainable transformation through Artificial Intelligence.

Which Measures Help to Increase AI Maturity?

Increasing AI maturity across different levels requires targeted measures across multiple dimensions. These include expanding data and technology bases, building organizational capabilities, establishing governance structures, and prioritizing value-creating use cases.

A clear AI roadmap translates these measures into actionable steps and ensures that progress within the AI maturity model is aligned with the company's AI strategy. This enables scalable AI transformations and a sustainable transformation through Artificial Intelligence.

Why Is Maturity Crucial for Sustainable Transformation?

AI maturity is decisive because it determines whether AI transformations can be sustainably scaled or remain isolated initiatives. Companies with higher maturity are better positioned to align AI investments with business goals, manage risks, and continuously create value.

A maturity-based approach using a structured AI maturity model ensures that the artificial intelligence transformation is implemented realistically, coordinatedly, and resiliently for the long term.

Is an AI Maturity Assessment a One-Time Exercise or Part of an Ongoing Roadmap?

An AI Maturity Assessment should not be seen as a one-time measure, but as an integral part of a continuous AI roadmap. As companies progress through different maturity levels, regular reassessments help track AI maturity, review priorities, and adjust measures.

Within professional AI consulting, this ongoing approach ensures that AI transformations are implemented in a structured, realistic, and effective way for the long term.