Data foundation
AI readiness starts with data inventory, quality rules, and access policies.
Mapping source systems, marking PII fields, and defining data ownership are mandatory steps. A data pipeline diagram is produced during discovery.
Guides
Enterprise AI readiness guide
Data, process, and organization readiness — checklist before starting enterprise AI projects.
Guidesevaluation
Process maturity
Automation candidate processes must be defined with measurable KPIs and clear ownership.
Manual steps, approval cycles, and exception handling are documented. AI use cases derive from these processes — not reverse-engineered hype.
Governance
Model usage policy, audit trails, and human-in-the-loop critical decisions are defined early.
GDPR compliance, role-based access, and model versioning standards are approved before project kickoff.
KVKK / GDPRNDACI/CDTestingSecuritySLA & Support
Sık sorulan sorular
How long does a readiness assessment take?
A typical enterprise assessment completes in a 2–3 week discovery phase.
Need a deeper assessment?
Run the AI assessment or book a technical discovery call.