95%
of enterprise generative-AI pilots delivered no measurable impact on profit and loss. The failure was workflow integration and governance, not model quality.
Glasgow · Measure, embed, report
Revli is a Glasgow practice that makes an existing workflow measurably faster with AI. We baseline the work, embed the tools into it, and report the delta.
Engagements · 3
Buying AI is easy and nearly everyone has done it. Getting a measurable result out of it is a different job, and the published record is blunt about how often that second part fails.
The models are not the bottleneck. Workflow fit, review, and governance are. That is the work.
95%
of enterprise generative-AI pilots delivered no measurable impact on profit and loss. The failure was workflow integration and governance, not model quality.
31%
of UK businesses report positive return on their AI spend — which means most buyers you meet have already been disappointed once.
21–55%
individual throughput gain from AI assistance, alongside a decline in delivery stability where the workflow around the tool is weak.
40%+
of agentic AI projects are forecast to be cancelled by 2027, on escalating cost, unclear return, and thin risk controls.
Three engagements. Each one is scoped to a number it has to move, and each one starts from the work as it stands today.
Two weeks · fixed scope
Where the hours go, where people are already using AI on the side, and which single workflow is worth changing.
Fixed scope · agreed in writing
One workflow, built into the system the team already uses, aimed at one number decided before the build starts.
Monthly
The metric stays watched. The next workflow starts only after the first one is holding.
Most relationships start with the audit, because the rest cannot be priced honestly until the baseline exists. We quote once the scope is clear.
Two weeks, fixed
A baseline, a shortlist, and a recommendation you can act on without us. The honest outcome includes doing less than you expected.
Fixed scope
One workflow, measured at both ends. Scope is agreed in writing before we start and does not move without a written change.
Monthly, rolling
A regular review against the baseline, support when the workflow misbehaves, and the next piece of work only after this one holds.
We run our own delivery through the same kind of governed pipeline we install for clients. The first client result we publish will be a before-and-after on a metric agreed at the start. Until that number exists, we will not invent one.
Licences are the cheap part and the part that rarely fails. What usually fails is the work around them: the workflow the tool has to fit, a way to tell whether it helped, and someone accountable when it is wrong. That gap is the engagement.
A time-and-motion baseline on the specific workflow, taken before we build anything. We agree the metric and the target in writing at the start, so neither of us can move the goalposts later.
Then we write that down and you have saved a year of pilot budget. It is a real outcome of the audit. A practice that cannot return that answer is not measuring anything.
We scope against administrative time, and we design with the people whose work changes. What you do with the hours released is your decision. We will not dress that up as a headcount saving in a business case.
Yes, and we would rather they were in the room in week one than reviewing something finished in week six. Data flows, retention, and access are part of the design, and we produce the documentation those teams need to sign off.
You do. Full transfer of the configuration, the prompts, and the documentation on final payment. We write the handover on the assumption you will eventually run this without us.
We reply within one working day. Describe the work, and we will say whether an audit is the right next step.
We typically respond within 24 hours and can give a ballpark estimate after a 30-minute discovery call.
Anna · Founder, Revli Limited