Leadership sees
Licenses deployedReality may be
Daily work unchangedAI adoption & cost intelligence
Think you’re implementing AI?
See what you’re actually getting.
AI Reality gives CIOs one independent view of meaningful adoption, licenses and consumption costs—across every team, tool, and model.
Measure the organization. Don’t monitor the individual.
Organization-wide view
AI spend vs meaningful adoption
AI spend
Meaningful adoption
Monthly AI spend
+48%
₪104k → ₪154k
Meaningful adoption
+15 pts
43% → 58%
Spend is rising faster than meaningful adoption.
02 / THE GAP
The AI reality gap
You can see the invoice.
Can you see the adoption?
Leadership sees
Employees activeReality may be
Shallow experimentationLeadership sees
Pilots launchedReality may be
Few repeatable workflowsLeadership sees
AI spend growingReality may be
No cost per meaningful userAI adoption is not a deployment milestone. It is a measurable change in how work gets done.
One independent view
From AI activity
to AI control.
See the difference between access, activity and meaningful adoption—then connect it to what you actually pay.
Adoption intelligence
Who is meaningfully using AI?
- Five-level adoption spectrum
- Access-to-habit conversion
- Builders and advanced creators
Cost intelligence
What does AI really cost?
- License and seat costs
- API and model consumption
- Unused and duplicate spend
Decision intelligence
Where should the CIO act next?
- High-cost adoption gaps
- License reallocation
- Targeted enablement priorities
| Department | Meaningful adoption | Annual cost | Cost / active user | Active licenses | Underused | Decision |
|---|---|---|---|---|---|---|
| ENEngineering | 82% | ₪412,000 | ₪286 | 184 | 8% | Maintain |
| CCCustomer care | 71% | ₪285,000 | ₪198 | 232 | 12% | Enable |
| MKMarketing | 44% | ₪364,000 | ₪471 | 96 | 31% | Reallocate |
| FNFinance | 38% | ₪198,000 | ₪342 | 74 | 42% | Consolidate |
Illustrative data
Observed: platform usage, licenses and consumption costs. No assumptions about employee productivity or financial value.
Vendor-neutral by design
Every vendor shows you its own world.
AI Reality shows adoption and spend across the organization.
ChatGPT
Enterprise Microsoft
Copilot Google
Gemini Anthropic
Claude Azure
OpenAI AWS
Bedrock Internal AI products via approved organizational systems
Enterprise Microsoft
Copilot Google
Gemini Anthropic
Claude Azure
OpenAI AWS
Bedrock Internal AI products via approved organizational systems
Available data depends on the permissions and reporting capabilities of each platform.
03 / METHOD
Observed data. Clear decisions.
Measure what
can be measured.
AI Reality uses platform integrations to map licenses, consumption and meaningful usage—then shows where cost and adoption diverge.
What the integrations see
Usage, licenses, consumption, tools, models, departments and measurable cost.
System evidenceHow adoption is understood
Employees are mapped across five levels—from non-AI users to advanced creators whose solutions are adopted by others.
Five-level modelWhat leadership can change
Reallocate underused licenses, consolidate overlapping tools and focus enablement where adoption is stuck.
Decision-ready outputPrivacy by default
Measure the organization.
Don’t monitor the individual.
Executive views are aggregated. Individual cost data is anonymized by default and can only be re-identified through permission-controlled access.
Role-based accessAccess audit trailNo productivity rankingNo prompt content required
Individual-level visibility supports cost allocation and responsible enablement. It is not an employee-performance score.
The AI Reality Report
Before you spend more on AI, see where the current spend is actually being used.
One fixed-price baseline of adoption, licenses, consumption and organizational cost.