AI Adoption Report

Renew the AI seats that produced work, not the ones assigned

Every team is plotted on how widely it uses AI and how deeply, so a team that opened a tool twice reads differently from one that runs on it. Same Insightful desktop application, no content or keystrokes captured.

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The challenge

Nobody logged which teams turned the AI seats into work

Seats were bought on a promise and renewal is in six weeks. The license console shows who has a seat, not who opened it twice and stopped.

The solution

Price the renewal on use, not on who got a seat

Every team lands on the Adoption Maturity Matrix as a Champion, Regular, Deep Diver or Dabbler. A license console shows all four as fully licensed.

Seats opened, not assigned

A license console says who holds a seat. This says who opened it, how often, and whether anybody went past the first week.

No tool to instrument

Usage comes off the desktop application already deployed, as the work happens, so a tool that appeared last week is in the report without a project to add it.

The tools nobody rolled out

Applications nobody registered are flagged when they first appear, which is how a private AI account reaches a report at all.

Adoption is not outcome

None of it proves the AI caused a result. It sets use and outcome side by side so a renewal argument has evidence in it rather than a promise.

Connected to your work

Turn an adoption number into a budget decision

An adoption number says how much AI is being opened. Add what the line costs, the tools nobody rolled out and the rest of the stack ranked the same way, and you can price each tool on its own instead of approving the whole invoice.

AI Spend

What the AI line costs against the seats people open, so a renewal is priced on use rather than on the purchase record.

Shadow AI

AI tools nobody rolled out, surfaced by application visibility today. Flagging against your own approved list is rolling out.

AI Adoption

The measurement counterpart: setting a baseline, picking the numbers, and reporting adoption to the people funding it.

Apps & Website Usage

The rest of the stack ranked the same way, so an AI seat is judged against the tools it was meant to replace.

Productivity Trends

Whether the teams furthest into AI show a different direction in productive time from the teams that are not.

Workspace Security

The same visibility under a collection scope narrow enough to clear a legal review. An add-on to Workforce Analytics.

Replaces

Four teams stop guessing at the same AI rollout

Replaces

The AI renewal defended by the team that asked for it

They use it to

Compare every AI tool side by side against seats opened, and renew, resize or drop each one before the date rather than after.

Measured in

Cost per active AI seat

Replaces

The per-tool integration project

They use it to

Get AI usage from the desktop application already deployed, with no new rollout and no vendor-by-vendor instrumentation.

Measured in

Rollouts avoided

Replaces

The AI usage survey nobody returns

They use it to

See which applications people opened to do the work, including tools nobody rolled out, with no content and no keystroke capture.

Measured in

Unapproved tools surfaced

Replaces

Enablement delivered to everyone equally

They use it to

Separate the teams that can mentor from the teams furthest behind, and spend the training budget on the second group.

Measured in

Adoption rate by team

Compliance and security

Which AI tool was opened, never the prompt

The report records which AI tools were opened, how often and for how long. Prompts, responses, content and keystrokes are outside the collection scope, and what gets collected is agreed before deployment rather than discovered after.

Metadata not content icon
Metadata, not content
Which AI tools were opened, how often and for how long. No prompts, no responses, no document text, no keystrokes, no audio and no video.
A record no user can alter icon
Collection scope, set first
Capture switches off per application, per team or per person, and reporting can be held at team level. All of it settled before anyone installs anything.
Encryption and residency icon
Encryption and residency
AES-256 at rest, TLS 1.2 in transit, keys held in Google Cloud KMS. Residency in the US, EU or Saudi Arabia, with on-premise available.
Customer stories

Trusted by 5,000+ Teams Worldwide

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Learn how this gaming company improved schedule adherence with Insightful, scaling their workforce 5x while maintaining operational efficiency.
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Minimizing Work Fraud While Hyperscaling: How Mercor Grew To 30,000+ Contractors Without Losing Millions
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By giving managers real-time visibility into workflows and well-being, this pan-African payments provider built a thriving remote-first team—powered by Insightful’s actionable workforce insights.

Price your next AI renewal on use

No connector for the AI tools, 50+ for everything else

AI use comes off the desktop application already deployed, so nothing is instrumented per vendor and a tool that appeared last week is in the report. The 50+ integrations cover payroll, HRIS and project systems.

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FAQ

How do you measure the ROI of AI adoption?

By pairing the cost side, licenses held versus seats opened, with the usage side, how much of each team's work now runs through an AI tool. Insightful supplies both from one source, so the case doesn't rest on a survey nobody returned. Daily AI users, AI time per employee and adoption rate carry the usage side, and every team is plotted on the Adoption Maturity Matrix as Champions, Regulars, Deep Divers or Dabblers. The outcome number is still yours to bring.

Does this show AI tools nobody rolled out?

Yes, as a usage finding rather than a policy verdict. Application and website visibility ships today and covers unapproved tools, including AI tools, so an application nobody registered is flagged when it first appears. Angel Maldonado, in IT at Fulton Management, named private-account AI use during his evaluation, before anyone had asked him about it. Flagging against your own approved list is rolling out, and Shadow AI carries that argument in full.

What data does the AI Adoption Report use?

It records which AI tools are opened, how often and for how long, from the same Insightful desktop application as the rest of Workforce Analytics. Prompts, responses, content and keystrokes are outside the collection scope.

Which AI tools does this report recognize?

Commonly used assistants including ChatGPT, Claude, Gemini and Cursor are recognized automatically. Confirm the recognized list against your own stack before you plan around it.

How can we build an AI adoption roadmap?

Start from where teams already are, not from a target date. The Adoption Maturity Matrix sorts every team into Champions, Regulars, Deep Divers and Dabblers, which turns a roadmap into a sequence: mentor out of the first group, coach the last. It is a plan for where people's time goes, not a number to announce.

What frameworks guide successful AI adoption?

Ours is the Adoption Maturity Matrix: every team plotted across breadth and depth as Champions, Regulars, Deep Divers or Dabblers. It answers where to spend the enablement budget, because a Dabbler and a Deep Diver need opposite things from you. What it will not tell you is whether the work itself got better. That comparison is yours to make, against an outcome number you already keep.

Is the AI Adoption Report an add-on, or included?

It is included. It is part of Workforce Analytics, on the desktop application you already have. Workspace Security is the add-on, and that one is purchased alongside Workforce Analytics rather than included in it.

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Find the idle AI seats before the renewal does

Two weeks of data sorts every team into Champions, Regulars, Deep Divers and Dabblers on the Adoption Maturity Matrix, and lists each AI tool against the seats opened.
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