Enterprise services
AI readiness assessment
An AI readiness assessment evaluates an organization's data, governance, and technical readiness, then turns the findings into a prioritized roadmap.
Deliverable preview
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
- For
- Teams finding their starting point · Teams securing budget and next steps
- Takes
- About five minutes for the Quick Scan · analyst-led: On request
- Costs
- Quick Scan: Free · analyst-led: On request
- You get
- Validated through stakeholder interviews
Short answer
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 assessmentWhat the AI readiness assessment covers
Every answer is scored against five areas:
- Strategy and operating model
- Generative AI adoption and enablement
- Agent readiness and control
- Governance and risk management
- 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.
Who it is for
Choose the path that matches your team
Teams securing budget and next steps
Deliverables
What you get
Free: self-serve assessment
- Strategy and Operating Model
- GenAI Adoption and Enablement
- Agent Readiness and Control
- Governance and Risk Management
- Production Operations and Observability
Paid: professional assessment
- Validated through stakeholder interviews
- Architecture fit + governance risk analysis
- Best for: securing budget & next steps
The engagement
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
What it puts to work
The products behind AI Readiness Assessment
SUPERWISE Sentinel
SUPERWISE Chat
AI Readiness Assessment questions
What to expect before you start
Related reading
All questions- How do you tell real AI governance from theater?Ask five questions, in order: where the data goes, who built the model, whether the controls are enforced while the system runs, what you can see while it runs, and…
- When people say "AI," what are they talking about?At least six different technologies, with different costs, risks, and rules. Three independent questions sort them: did a person write the rule or did a machine learn it, does it…
Next step
See where your organization stands
Start with the free self-serve assessment, then talk to us about an analyst-led assessment.
