AI Productivity Audit
Saved time that goes nowhere in particular has not been saved.
What is productivity audit?
A productivity audit measures whether AI tools an organisation pays for are genuinely used, how much time they save on specific real tasks, and whether that saved time reaches anything the business can point to.
Organisations buy AI tools, announce them, and rarely check afterwards. Licences renew because cancelling requires somebody to make a decision and renewal requires nobody to do anything at all.
When usage is measured the pattern is usually the same. A small number of people use the tools heavily, most stopped somewhere around week two, and the licence count reflects neither group.
The harder question is what the saved time became. Twenty minutes saved across a scattered day is absorbed into the day. Time only turns into money where it was consolidated into something the organisation can name.
Why we recommend cancelling tools
Duara measures AI tool usage and real task performance for organisations in Kenya.
We regularly recommend cancelling licences, including tools somebody internally argued hard for. That is an awkward finding to deliver and it is usually the one with the clearest value attached.
Who this is for
- You pay for AI tools and licences
- Adoption was never measured after rollout
- You are deciding whether to renew
- Staff report savings you cannot see in the numbers
Industries we serve
- Professional services
- Financial services
- Technology companies
- Marketing and media
- Large corporates
- Any organisation with AI licences
Problems this solves
These are the reasons AI tool spend continues without anybody knowing what it produced.
- Nobody checked adoption. Tools were announced and then left alone, so usage after the first few weeks is unknown to everybody.
- Logins counted as usage. Opening a tool occasionally is a licence being paid for rather than a tool being used, and the two look identical in a report.
- Saved time never lands anywhere. Minutes recovered across a scattered day are absorbed by the day, which is why savings appear real and invisible at once.
- Renewal is the default. Cancelling needs a decision and renewing needs nobody to act, so unused licences survive indefinitely.
What we deliver
Usage measured by team and depth, time measured on specific real tasks rather than self reported, and a plain recommendation on renewals, training or cancellation.
Actual usage measured by team and tool
Depth of use rather than login counts
Time measured on specific real tasks
Licences paid for and not used
Where saved time actually went
A recommendation on renewal, training or cancellation
Features
- Depth measured, not logins. Occasional opening is a licence being paid for, and it appears identical to real use in most vendor reporting.
- Tasks timed directly. Measured on real work rather than asked about, since people who like a tool report larger savings than it delivers.
- Saved time traced. Where the recovered hours went, because time absorbed into a day has not reached the business at all.
- Heavy users tested. Whether the enthusiasts are genuinely faster, which is a different question from whether they are enthusiastic.
- Renewals given a decision. A clear recommendation, since the alternative is renewal by default which is not a decision anybody made.
Benefits
- Spend matches usage. Licence counts corrected against who actually uses what removes a cost most organisations carry without noticing.
- Training aimed where it works. Knowing who stopped and when tells you whether training would recover them or whether the tool was wrong.
- Claims can be checked. Reported savings tested against measured task time turns an impression into something a board can rely on.
- Renewal becomes deliberate. A decision taken on evidence rather than a date passing without anybody looking.
What usage measurement shows
- Usage by team. Who uses what, which almost never matches how licences were distributed.
- Depth of use. Whether a tool is part of the work or opened occasionally, since the two cost the same.
- Drop off timing. When people stopped, which usually indicates whether the tool or the training was the problem.
- Task timing. Real tasks measured with and without the tool rather than estimated afterwards.
- Time destination. What the recovered time became, without which a saving cannot be claimed.
- Licence reconciliation. What is being paid for against what is being used.
The uncomfortable finding is that heavy users are not always faster users. Enthusiasm for a tool and performance with it are separate things, and only one of them shows up in usage statistics.
How the process works, step by step
A productivity audit usually takes two to four weeks, and the task timing needs enough instances to be meaningful.
-
Step 1
Scoping
We agree which tools and teams are in scope and what a useful answer would let you decide.
-
Step 2
Usage measured
By team and by depth, since login counts and genuine use are indistinguishable in most vendor reporting.
-
Step 3
Tasks timed
Specific real work measured directly rather than reported, because reporting runs optimistic.
-
Step 4
Saved time traced
Where the recovered hours went, which decides whether a saving is real or absorbed.
-
Step 5
Recommendation delivered
Renew, train or cancel, said plainly for each tool rather than left as data to interpret.
Quality assurance and how we work
The commitments attached to measuring what people do with the tools you bought them.
- We recommend cancellation when the evidence says so. Including tools somebody internally argued hard for, which is awkward and usually the finding with the clearest value.
- We do not measure individuals for performance. This assesses tools and teams. An exercise staff believe is about their appraisal stops producing usable information.
- We measure rather than survey. People who like a tool report larger savings than it delivers, and the effect is large enough to change conclusions.
- We say when a saving is absorbed. Minutes recovered across a scattered day do not reach the business, and calling that a return would be dishonest.
- We state what the measurement supports. Where too few instances exist to be meaningful, we say so rather than presenting a number with false precision.
Frequently asked questions about productivity audit
What does usage measurement usually find?
A small number of people use the tools heavily, most stopped around week two, and the licence count reflects neither group.
Are logins a good measure?
No. Opening a tool occasionally is a licence being paid for rather than a tool being used, and both look the same in vendor reporting.
Why not ask staff how much time they save?
Because people who like a tool report larger savings than it delivers, and the effect is big enough to change the conclusion.
How do you measure time saved?
On specific real tasks, timed with and without the tool, using enough instances that the number means something.
Why does it matter where saved time went?
Because twenty minutes recovered across a scattered day is absorbed by the day. Time becomes value only when it consolidates into something you can name.
Can saved time be real and invisible?
Yes, and that is the most common outcome. Staff genuinely feel faster and nothing in the numbers moves, and both are true.
Are heavy users always faster?
No, and that is the uncomfortable finding. Enthusiasm for a tool and performance with it are separate, and only one shows in usage statistics.
Should we train or cancel?
Drop off timing usually answers it. People who stopped in week two point at the tool, and people who never started point at the training.
Why do unused licences survive?
Because renewal requires nobody to act and cancellation requires a decision, so the default runs unopposed year after year.
Would you tell us to cancel a tool we champion?
Yes, where the evidence says so. It is an awkward finding to deliver and usually the one with the clearest value attached.
Is this about individual performance?
No, and we say so plainly. Staff who believe an audit feeds their appraisal stop producing usable information immediately.
What if we never baselined anything?
Common. Tasks can still be timed both ways now, which establishes the present position even where history is unavailable.
How many task instances do you need?
Enough to be meaningful, and where there are too few we say so rather than presenting a number with false precision.
How long does a productivity audit take?
Two to four weeks, with the task timing needing enough real instances to support a conclusion.
Does it cover tools built into software we already pay for?
Yes, and those are frequently the least measured, since nobody bought them separately and nobody tracks them.
Can it inform a renewal negotiation?
Yes. Knowing genuine usage by team is the strongest position anybody can take into a licence conversation.
What if usage is high but savings are not?
That is a real result and worth knowing. A tool people enjoy is not automatically a tool that pays for itself.
Does this replace an ROI review?
No. This measures usage and task time. Whether the overall investment paid is a wider question with its own method.
Who sees the usage data?
Whoever you nominate, reported by team rather than by individual.
What does a productivity audit cost?
The number of tools and teams in scope determines it, quoted after scoping.
Glossary of terms
Productivity measurement terms in plain language.
- Adoption
- Whether a tool became part of the work, as distinct from whether it was issued to somebody.
- Depth of use
- How substantially a tool is used, which login counts cannot show.
- Drop off
- When people stopped using a tool, usually a better diagnostic than how many still do.
- Absorbed saving
- Recovered time that scattered across a day and reached nothing the business can point to.
- Consolidated time
- Saved time gathered into something identifiable, which is the only form that turns into value.
- Licence reconciliation
- Comparing what is paid for with what is used, which frequently differ substantially.
Related services in AI Audit Services
Talk to us about productivity audit
Ask your finance team how many AI licences you pay for. Then ask the tool how many were used last month.
Start your project