AI maturity map
We measure your company's AI readiness across 5 dimensions × 24 criteria. Where should you start?
- Strategy & vision
- Data & infrastructure
- Talent & culture
- Governance & ethics
An AI maturity assessment tailored to your company, a KVKK/GDPR-compliant data strategy and team training. Not what to do, but how to do it — that's what we solve.
Executive alignment, data ownership, ethical rules — if they aren't discussed at the table, a pilot stays a pilot. We set that table.
We measure your company's AI readiness across 5 dimensions × 24 criteria. Where should you start?
Companies that know their data are the ones that do AI. Inventory, quality, ownership, architecture — in a single game plan.
KVKK, GDPR, the AI Act, industry regulations. An ethical framework — we bring decisions your company has never discussed internally to the table.
An impact × feasibility matrix. Out of 20-50 use cases, we pick the 3-5 worth taking live.
A quarterly plan with owners, budgets and measurable targets. Not a document that sits in a drawer — one you open every week.
From C-suite briefings to technical team workshops. The right people get the right knowledge.
Discover → Design → Enable. Every phase leaves tangible outputs, not a report for the drawer.
We see your company as it really is. Through data, interviews and measurement.
From strategy to architecture. From use cases to the operating model.
A plan should be motion, not paper. Training, pilots, a management cadence.
Click your industry — the topics we discuss most often and the results achieved.
BDDK / SPK compliance, model risk management, explainability (XAI), KKB data governance. Safe pilots, auditable AI at scale.
An ethical framework for patient data, clinical decision support, drug research. AI that can be applied within the KHGM and KVKK framework.
IoT data, predictive maintenance, quality control. OT/IT integration — one AI backbone from the factory floor to the office.
Customer 360, personalization, dynamic pricing. Omnichannel data flows into a single decision engine.
Citizen services, smart cities, open data. Transparent AI applications that use public resources efficiently.
The methodology we work with, what we produce and the tools we use.
An anonymized but real AI Consulting project: answering "where should AI start?" at a multinational manufacturer.
A manufacturing group with 22 factories in 3 countries. Every unit says "we want to do AI"; 6 pilots had started, none made it to production. ₺12M invested, zero tangible results. The CEO's question: "where do we start?"
A 6-week maturity assessment: 28 stakeholder interviews, 22 factory visits, a data inventory and a post-mortem of the existing pilots. A scored backlog of 18 use cases + a 12-month quarterly roadmap.
In 12 months, 6 use cases went live (3 with significant ROI), 4 continue as strategic bets, and 8 got a deliberate no. ROI of 340%. More importantly, decisions are now data-driven.
Start with a workshop, build a full roadmap, or partner with us for the long term.
A 5-day intensive workshop. Together with your leadership team, we make 5 key decisions.
A comprehensive maturity assessment + a detailed 12-month roadmap, quarter by quarter.
A part-time senior AI leadership role. We work inside your company as if we were your own head of AI.
This is the question we hear most — and the answer is usually "yes, you can start." That's exactly what our maturity assessment is for: we separate (1) the areas where you're ready, (2) what has to happen first and (3) what can wait. In practice, waiting for perfect infrastructure means never starting.
Our output isn't a report for the drawer. (1) Every use case has a clear "who, when and what gets measured." (2) We set up a steerco — a monthly management cadence. (3) We deliver 1-2 quick wins together with you in the first 90 days. That's how the system starts running on its own.
Persuasion isn't mechanical — it takes data, concrete examples and peer comparisons. Board briefings and C-suite workshops are a core part of our consulting package, and we've worked with dozens of CEOs and CFOs. Throughout the process, we put senior leadership in the role of "learner," not "buyer."
Finance, healthcare, manufacturing, retail, insurance, logistics, education, media, public sector — 240+ projects in 18 years. The industry doesn't change the approach: the methodology stays fixed, and execution is calibrated to the context. In the first meeting, we share our industry experience and references.
That's your choice. (1) Our AI Solutions team can build it (end to end, from a single team). (2) We manage the scope your team or current partner delivers. (3) We deliver the design only and someone else implements it. Nothing you decide in the consulting phase is binding.
Four levels: (1) Board / senior leadership — a 2-hour briefing focused on strategic decisions. (2) Management team — a 1-day workshop on business outcomes + risk. (3) Technical team — a 3-5 day hands-on workshop. (4) End users — change management and a culture of working with AI. Each level gets its own content.
We make the key decisions in 5 days. Senior leadership, the technical team, users — everyone on the same page. We reply in under 24 hours.