Definitive answer

What is an AI readiness assessment?

An AI readiness assessment is a short structured engagement that evaluates an enterprise's data quality, permission model, workflow documentation, integration surface, governance posture, and team skills to determine which AI agent use cases are safe to ship first. It produces a ranked use-case backlog, a remediation plan, and an ROI model.

What gets audited

Implement Agentic's two-week assessment covers six dimensions, each scored 1–5 with evidence.

  • Data quality — coverage, freshness, ACL propagation, table parsing.
  • Identity & permissions — SSO, scoped service accounts, audit logging.
  • Workflow maturity — documented SOPs, KPI definitions, exception paths.
  • Integration surface — APIs, MCP servers, RPA, event streams.
  • Governance — model risk, privacy, NIST AI RMF, OWASP LLM Top 10.
  • Team capability — engineering, ops, change management readiness.

What you receive

Output is a 30–50 page report plus a working session: ranked use-case backlog, target architecture, remediation plan, vendor recommendations, ROI model, and a 90-day execution plan.

Frequently asked

How long does an AI readiness assessment take?+

Two weeks of elapsed time. We need 4–6 stakeholder interviews and access to representative samples of data and workflow artifacts.

How much does it cost?+

Implement Agentic's Closed-Loop AI Readiness Assessment is fixed-fee at $15,000.

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