Enterprise Services

AI Readiness Assessment

A structured evaluation of your organization's data, governance, and technical readiness for AI — turning “where should we start” into a prioritized, fundable roadmap.
Free — Self-serve wizard

Guided online questionnaire → instant, auto-generated readiness snapshot.

  • Directional, self-reported results
  • No architecture or governance analysis
  • Best for: early exploration
Paid — Professional assessment

Analyst-led engagement → formal deliverable with roadmap and cost/ROI model.

  • Validated through stakeholder interviews
  • Architecture fit + governance risk analysis
  • Best for: securing budget & next steps

What's involved in the paid assessment

1

Discovery & Inventory

  • Stakeholder interviews across business, IT, legal, and sponsor
  • Catalog candidate workflows: volume, variability, cost, error rate
2

Data & Infrastructure Audit

  • Data availability, quality, and access by use case
  • Current systems, integrations, and vendor lock-in exposure
3

Governance & Risk

  • Regulatory exposure and audit-trail gap analysis
  • Explainability requirements vs. current controls
4

Architecture Fit

  • Purpose-built agent vs. frontier-model vs. hybrid, per use case
  • Vendor-dependency and cost-driver assessment
5

Prioritization & Roadmap

  • Value/feasibility/risk scoring; recommended first use case
  • Phased roadmap mapped to PREDICT; Solutions vs. Self-Service
6

Deliverable & Readout

  • Exec summary, risk register, cost/ROI model, phased plan
  • Stakeholder readout with a defined next-step decision

Next step

Start with the free wizard to scope interest, or engage the Professional Assessment directly for a validated, board-ready roadmap.