AI Transformation Consulting
Measuring AI Progress Beyond Tool Usage
An adoption dashboard tells you whether people are using a tool. To understand whether the work improved, you also need to follow what happens to the output and the people who handle it next.
Synthetic teaching data, minutes per reply
Follow the work past the first draft.
■ Drafting ■ Checking and correction
Invented values, not customer results. Quality, waiting, costs and usable capacity still need evaluation.
Connect four kinds of evidence
Activity tells you what was tried: eligible cases, active users or completed attempts. Workflow evidence tells you what changed in handling, waiting and handoffs. Quality evidence examines whether the output met the agreed standard. Outcome evidence connects the change with something the client values.
Keep these measures connected to the same defined workflow. More generated drafts and lower customer wait time may move together, but the first number alone cannot establish the second.
A synthetic example: faster drafting, more checking
Imagine two comparable sets of 100 service replies. In this teaching example, drafting takes 8 minutes per reply before the change and 3 minutes after it. Checking and correction take 4 minutes before and 7 minutes after. Total active handling moves from 12 to 10 minutes per reply.
The apparent drafting saving is 500 minutes across 100 replies. Added checking consumes 300 minutes, leaving a net active-time difference of 200 minutes. All figures here are invented for illustration. They are not Gobekli customer results, benchmarks or a forecast.
Even that net difference is not yet a financial return. Check quality, waiting time, exception mix and whether the released capacity can be used. Include tool costs, preparation, training and continuing support in a separate economic assessment.
Agree definitions before the pilot
Define when a case starts and ends, what counts as an eligible case and how rework is recorded. Include downstream effort rather than stopping the clock when the AI output appears. Decide how to handle incomplete cases and unusual work.
Use a quality rubric that practitioners can apply consistently. For service replies, this could include factual accuracy, completeness and whether a promise was properly authorized. Report the kinds of error as well as an aggregate acceptance measure.
Give the comparison a fair chance
Compare similar task mixes and record changes in staffing, demand, policy or tooling. If possible, agree a comparison group or staged rollout before implementation. Where that is impractical, explain the limits of a before-and-after comparison.
Show sample size, time period, missing information and variation. Do not multiply a result from a small selected sample across the whole organization without evidence that it transfers. A pilot can support a local decision while leaving broader impact unresolved.
Make the review useful to the team
Ask participants where effort moved and what the measures fail to capture. A supervisor may absorb work that the dashboard omits. An agent may gain time for harder cases without reducing paid hours. Both matter to interpretation.
Choose a next action at each review: continue, adjust, investigate or stop. Measures should help that choice. Avoid collecting individual-level information merely because it is technically available.
Where Gobekli can help
We can work with you to scope the evidence questions, workflow context and review responsibilities around an engagement. TalentSync’s proposed role is to keep that human and organizational context connected over time. Data collection, integrations and reporting capabilities need confirmation for the specific setup.
Bring one workflow and the result the sponsor cares about. We can explore how your evaluation method could guide a useful first engagement and what would be required to maintain it.
Try this with one client situation.
Copy these prompts into your working notes. Keep observations, assumptions and open questions separate.
- Workflow, eligible cases and comparison period:
- Activity measure:
- Total effort and waiting-time measures:
- Quality definition and reviewer:
- Client outcome and possible alternative explanations:
- Costs and capacity assumptions:
- Review owner, date and next decision:
Bring one client challenge.
Tell us the work you know, the method you use and the decision your client needs to make. Let’s explore a useful first engagement.
Compare notes with GobekliExplore AI consultant partnershipsImplementation capabilities and support are agreed for each engagement. Review product availability.