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Analytics

See how AI is actually being usedEdrak Analytics gives organizations a clear view of adoption across the company — what is being used, by whom, where value is being created, and where usage is falling short.AI adoption is easy to talk about. Much harder to measure.Most companies do not have a model problem. They have a visibility problem.They may know employees are using AI. What they often cannot see clearly is how often it is being used, which teams are getting value from it, which models are driving activity, where costs are building, and whether adoption is deepening or staying shallow.That is what Analytics is for.It gives the organization a way to move from vague enthusiasm to a clearer operational picture.A clearer view of what is happening across the companyEdrak Analytics is built to help organizations understand AI use as a real operating layer, not just a collection of prompts.It helps answer questions like:
  • Which teams are using AI most?
  • Which models are being used most often?
  • How is usage changing over time?
  • Where is adoption strong, and where is it not?
  • What tasks are creating the most value?
  • What is this actually costing?
  • Where are we saving time?
That is the difference between having AI in the company and actually managing it.Measure adoption, not just activityRaw usage numbers are not enough.A serious company wants to know whether AI is becoming part of how work gets done, or whether it is still sitting at the edges as a scattered habit.Edrak Analytics helps organizations look beyond simple activity and start seeing the deeper picture:how teams are adopting AI, how behavior is changing, and where real usage is taking hold.Built for the questions leadership actually asks
Who is using it?See usage across users, teams, and departments.
What are they using?Understand model mix, activity patterns, and how usage is distributed.
Is adoption growing?Track changes over time and see whether use is broadening or concentrating.
Where is value being created?Identify where AI is saving time, supporting work, and gaining traction.
What is it costing?Monitor usage in a way that helps the organization stay aware of spend and scale.
Where are the gaps?Spot teams, workflows, or parts of the business where adoption is weaker than expected.
From dashboard to operating insightAnalytics should do more than show charts.It should help the organization make better decisions.
  • Where to push adoption.
  • Where to provide more support.
  • Which teams are ahead.
  • Which use cases are working.
  • Which patterns are worth scaling.
  • Where AI is being used heavily but not productively.
Edrak Analytics is designed to make those decisions easier.Built for admins, useful for leadershipFor admins, Analytics provides the practical visibility needed to monitor usage across the organization.For leadership, it provides something more important: a way to understand whether AI is becoming a real capability inside the business.That is the real job of analytics here.Not counting prompts for the sake of counting prompts.But giving the company a clearer view of whether this is working.What Edrak Analytics helps you understand
Adoption across teamsSee where usage is taking hold across the organization.
Model usageUnderstand how GPT, Claude, Gemini, and other models are being used.
Activity trendsTrack usage over time and monitor growth, concentration, or decline.
Cost awarenessKeep a clearer line of sight into usage patterns and their cost implications.
Time saved and productivity signalsMeasure where AI is reducing manual effort and supporting faster work.
Organizational visibilityGive the company one place to understand how AI is being used across the business.
If you cannot measure it, you cannot scale it wellAI adoption inside a company does not become serious just because access is available.It becomes serious when the organization can see what is happening, understand what is working, and make decisions based on that visibility.That is what Analytics gives you.
  • A clearer basis for management.
  • A clearer basis for accountability.
  • And a clearer basis for scale.
Built for organizations that want more than a usage logA prompt count is not a strategy.A serious analytics layer should help the company understand adoption, value, cost, and behavior in one place.Edrak Analytics is built for that job.It helps organizations see AI not as a black box, but as something they can monitor, understand, and improve over time.Understand adoption with more claritySee how AI is being used across your organization, and manage it with a clearer view of activity, cost, and value.