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SIRTIKA™ · ENTERPRISE AI READINESS ASSESSMENT

Is your enterprise ready to scale AI responsibly?

Use this 12-question scorecard to test whether your organisation has the foundations required to move from AI ambition to sequenced, defensible execution.

Start assessment ↓Explore AI Blueprint ↗

Indicative self-assessment only; not a formal SIRTIKA diagnostic, certification or employment decision.

DATA

1. Priority AI use cases have access to sufficiently reliable, owned and usable data.

DATA

2. Data quality, privacy, lineage and access constraints are understood before AI projects begin.

LEADERSHIP

3. Leadership has agreed the business outcomes AI should improve, not only the technologies to explore.

LEADERSHIP

4. Executive ownership and decision rights for AI priorities are explicit.

SYSTEMS

5. Our architecture and integration environment can support priority AI use cases without unmanaged dependencies.

SYSTEMS

6. We understand deployment, security and operational requirements before pilots move toward production.

PEOPLE

7. Business and technology teams have the capability and operating roles needed to adopt AI.

PEOPLE

8. Change, process redesign and user adoption are treated as part of the AI programme.

GOVERNANCE

9. We have principles for privacy, security, model risk, human oversight and accountability.

GOVERNANCE

10. There is a review mechanism for approving, monitoring and stopping AI use cases.

AI FOOTPRINT

11. We have visibility of existing AI pilots, tools, vendors and shadow-AI activity.

AI FOOTPRINT

12. Current AI initiatives are assessed consistently for business value, feasibility, risk and dependency.

ASSESSMENT DIMENSIONS

What the score is testing.

DATA
LEADERSHIP
SYSTEMS
PEOPLE
GOVERNANCE
AI FOOTPRINT
FAQ

Questions about the assessment.

What does enterprise AI readiness mean?

It is the degree to which an organisation has the foundations required to adopt defined AI use cases safely, feasibly and with measurable business value.

Is AI readiness the same as AI maturity?

No. Maturity describes a general capability stage. Readiness asks whether the conditions are strong enough for specific use cases to proceed now.

Does a high score mean every AI project should start?

No. Even a ready organisation must prioritise use cases by value, feasibility, risk and strategic fit.

Is this assessment vendor-neutral?

Yes. The scorecard focuses on enterprise capability and sequencing rather than recommending a specific implementation vendor or technology.