Evaluate and improve
We measure your AI on your real work, find what's failing and what it really costs, then fix it, with the numbers to show it.
300 real tickets. Share of answers accepted, with the full cost of each.
What you get.
A test set from your work
Real examples, including the hard cases, with a clear definition of a good result.
Side-by-side comparison
Models, prompts, tools, and workflow designs compared on quality, cost, speed, and failures, including review time.
A recommendation
The best option for your constraints, with its limits stated plainly.
ImprovementsOptional
Changes made and re-tested on the same tasks, with checks that nothing else got worse.
How it works.
- 01
Define a good result
Agree on what an acceptable answer or outcome looks like.
- 02
Baseline
Measure the current system on your real tasks.
- 03
Compare
Test the alternatives on the same set.
- 04
Improve and re-test
Make changes and confirm they hold up.
Good to know.
Why it works
- Real costs
We count model costs, tools, and the time people spend checking answers.
- Fair comparisons
Every option is tested on the same set of your real tasks.
- Straight answers
If a simpler fix or a person in the loop works better, we'll say so.
Questions
Can you evaluate a vendor's product?
Yes, on your tasks, alongside the alternatives.
Do you need access to our production system?
Usually not. We work from examples and a test copy unless you decide otherwise.
What happens after the report?
You can make the changes yourself, ask us to make them, or set up ongoing checks.
Often paired with
Start a conversation
Talk to us about evaluate and improve.
If AI isn’t the right answer, we’ll say so.
- 01Tell us where you want to take the business.
- 02We reply by email to set up a conversation.
- 03If it's a fit, you get a written proposal: what we'll deliver, how we'll know it worked, and what it costs.