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

Definition

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.

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.

  1. 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.

  2. 02

    Identify use cases

    The workflows turn into concrete cases: what can be automated, supported, or rethought entirely.

  3. 03

    Score benefit and risk

    Every case gets numbers: effort, expected benefit, data situation, regulatory risk. That is the yardstick that was missing.

  4. 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.

  1. 01

    Vision & goals

    Strategic direction and measurable goals for the use of AI.

  2. 02

    Governance & organisation

    Structures and responsibilities for managing AI.

  3. 03

    Use case identification

    Systematically finding the most promising AI use cases.

  4. 04

    Data management

    Strategies for data quality, accessibility and governance.

  5. 05

    Infrastructure & technology

    The technical foundations and platforms for AI systems.

  6. 06

    Ethics & compliance

    Using AI responsibly and within the rules.

  7. 07

    Security & risk management

    Security concepts and risk mitigation.

  8. 08

    Talent & skills

    Building competence and developing people.

  9. 09

    Partnerships & ecosystem

    Strategic partnerships and external collaboration.

  10. 10

    Implementation roadmap

    Timeline and milestones for the rollout.

  11. 11

    Change management & culture

    Cultural change and bringing employees along.

  12. 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 Navigator

Common questions about AI consulting

How do I find out which AI use cases are worth it for my company?
Through the processes, not through a list of ideas. Ziya walks your workflows with the people who run them daily and derives concrete cases from them. Every case then gets the same figures (effort, expected benefit, data situation, regulatory risk), so they become comparable. Without that shared yardstick the proposal that was argued loudest wins.
What does an AI strategy cost?
It depends on the size of the company and the number of areas in scope. One pass through a bounded area is considerably smaller than an analysis across the whole company. Call or write to Ziya: one conversation is usually enough to name a reliable range.
How long does it take from analysis to roadmap?
One pass has four steps: understand the processes, identify use cases, score on benefit and risk, draw the roadmap. For a bounded area that is weeks, not quarters. What ends up in the roadmap carries an order, owners, and the benefit you will measure against later.
What is the difference between AI consulting and AI solutions at Ziya?
Consulting answers which cases are worth doing at all. Solutions build the case you decided on. Many customers arrive with a finished idea and discover during the analysis that a different case returns more, which is why these are two offerings and not one.
Do we need an AI strategy first, or can we just start?
If you have exactly one clearly bounded case and the benefit is obvious, start with it. As soon as several departments have proposals and nobody has the comparison, trying things out costs more than the analysis does. That is the point where a strategy saves money rather than costing it.
What is AI maturity and why measure it?
Maturity describes how far an organisation has come in using AI, across dimensions such as data, technology, skills, governance and how deeply it sits in the processes. Ziya measures it in Ziya Navigator year on year, so progress becomes visible and the roadmap stands on a stocktake rather than on a feeling.

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