AI readiness assessment

An AI readiness assessment evaluates an organization's data, governance, and technical readiness, then turns the findings into a prioritized roadmap.

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
Teams finding their starting point · Teams securing budget and next steps
About five minutes for the Quick Scan · analyst-led: On request
Quick Scan: Free · analyst-led: On request
Validated through stakeholder interviews

What the free AI readiness assessment gives you

The free Quick Scan takes about five minutes and returns a readiness profile across strategy, AI adoption, agent controls, governance, and operations. Use it to see where your organization stands and which area needs attention first.

Take the free assessment

What the AI readiness assessment covers

Every answer is scored against five areas:

  1. Strategy and operating model
  2. Generative AI adoption and enablement
  3. Agent readiness and control
  4. Governance and risk management
  5. Production operations and observability

The report returns a score for each area and an overall readiness score, places your organization on a readiness level, and opens with one diagnostic finding in plain language. The analyst-led assessment adds stakeholder interviews, architecture and governance analysis, a risk register, a cost and ROI model, and a phased roadmap.

Choose the path that matches your team

Teams finding their starting point

Use the free Quick Scan to see where your organization stands across five readiness areas.

Teams securing budget and next steps

Use the analyst-led assessment when you need a formal deliverable with a roadmap and cost and ROI model.

What you get

Free: self-serve assessment

A Quick Scan of about five minutes, with adaptive depth and a readiness profile report.
  • Strategy and Operating Model
  • GenAI Adoption and Enablement
  • Agent Readiness and Control
  • Governance and Risk Management
  • Production Operations and Observability

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

How it works

What's involved in the paid assessment

Discovery & Inventory

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

Data & infrastructure audit

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

Governance & Risk

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

Architecture Fit

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

Prioritization & Roadmap

  • Value/feasibility/risk scoring; recommended first use case
  • Phased roadmap, with what we build and what your team runs

Deliverable & Readout

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

See governed AI in practice

Customers with published work across healthcare, manufacturing, and governed AI operations.

Bridgestone
Firestone AG
NuevoSono
Renova Health
Home Depot

The products behind AI Readiness Assessment

SUPERWISE Sentinel

Often the first step after an assessment: see and control what already goes into AI tools.

SUPERWISE Chat

Gives your people an approved AI tool while the roadmap takes shape.

AI Readiness Assessment questions

What to expect before you start

See where your organization stands

Start with the free self-serve assessment, then talk to us about an analyst-led assessment.