Ease AICustom AI applications
A standalone product of your own — built, shipped, and instrumented so you can see exactly what the AI did, to whom, and what it cost.
- Typical investment
- $20,000 – $35,000
- Timeline
- 8–12 weeks
- Possible grant support
- up to $10,000DMAP, 50% matched, subject to eligibility
The problem
What this usually looks like.
Sometimes the off-the-shelf tool nearly fits and never quite will, or the thing you want to build is the business rather than a support function. The harder problem arrives afterwards: once a model is answering on your behalf, at scale, most teams cannot say what it actually said, how often it refused, which users cost the most, or whether last month's bill was reasonable.
What you get
Everything in the price.
- A complete product — web, or web plus native iOS and Android where it earns its place
- Authentication, roles, billing and the unglamorous plumbing a real product needs
- An AI activity layer recording every model call: prompt, response, model, tokens, latency and cost
- Cost attribution per user, per feature and per customer, so unit economics are a fact rather than a guess
- Refusal, escalation and error rates tracked over time, with a review queue for flagged output
- Hard spend caps and alerts, because an unbounded model bill is the failure mode nobody plans for
- An exportable audit trail, for the customer who asks what your AI told their staff
How we know it worked
Agreed before we start.
We set the baseline at the diagnostic stage so there is a real number to compare against afterwards. If it did not move, that gets said.
- 01Cost per active user, and per AI feature
- 02Share of AI responses escalated to a human
- 03Model spend against budget, with the cap that stops it
Next step
Is this the right project for you?
Two minutes on the scorecard will tell you roughly where you stand, including whether the honest answer is to do nothing yet.
Take the scorecard