The AI strategy that shows where AI actually pays off for you.
Most companies do not fail at the technology, they fail at the selection: twenty ideas, no yardstick, and in the end what gets built is whatever was demanded loudest. Ziya changes that.
Book an AI strategy- What AI consulting does
AI consulting establishes where artificial intelligence actually pays off in a company before anything gets built. It covers analysing the processes, identifying concrete use cases, scoring them on benefit and risk, and a roadmap that settles what comes first.
At Ziya that is a workshop plus Ziya Navigator: the scores, the portfolio and the roadmap live in a tool rather than in a slide deck, and they are carried forward as new cases arrive.
Definition
Holistic means the process first, the idea second
One pass, four steps, and a roadmap at the end that holds only the cases that pay off.
- 01
Understand the processes
Ziya walks through your workflows with the people who run them daily. Without that, any list of use cases is guesswork.
- 02
Identify use cases
The workflows turn into concrete cases: what can be automated, supported, or rethought entirely.
- 03
Score benefit and risk
Every case gets numbers: effort, expected benefit, data situation, regulatory risk. That is the yardstick that was missing.
- 04
Draw the roadmap
What comes first, what comes later, what not at all. With an order, owners, and the benefit you will measure against.
What a Ziya AI strategy is made of
An AI strategy is more than a list of use cases. It is made of twelve components, and each one is tailored to your company and worked out with you in the consulting engagement.
- 01
Vision & goals
Strategic direction and measurable goals for the use of AI.
- 02
Governance & organisation
Structures and responsibilities for managing AI.
- 03
Use case identification
Systematically finding the most promising AI use cases.
- 04
Data management
Strategies for data quality, accessibility and governance.
- 05
Infrastructure & technology
The technical foundations and platforms for AI systems.
- 06
Ethics & compliance
Using AI responsibly and within the rules.
- 07
Security & risk management
Security concepts and risk mitigation.
- 08
Talent & skills
Building competence and developing people.
- 09
Partnerships & ecosystem
Strategic partnerships and external collaboration.
- 10
Implementation roadmap
Timeline and milestones for the rollout.
- 11
Change management & culture
Cultural change and bringing employees along.
- 12
Metrics & monitoring
Measuring success and improving continuously.
So the strategy does not end up in a slide deck
The scoring, the portfolio and the roadmap live in Ziya Navigator rather than in a presentation. New use cases arrive, scores change, maturity is measured again every year. That keeps the strategy a tool instead of a document from last summer.
See Ziya NavigatorAll consulting offerings
Common questions about AI consulting
How do I find out which AI use cases are worth it for my company?
What does an AI strategy cost?
How long does it take from analysis to roadmap?
What is the difference between AI consulting and AI solutions at Ziya?
Do we need an AI strategy first, or can we just start?
What is AI maturity and why measure it?

Your contact
Ilirjan Bytyqi, M.Sc.Operations Manager at Ziya GmbHBook your free initial consultation with AI experts now
- Email Ziya
- info@ziya.de
- Call Ziya
- +49 157 36802836




