Sample AI Scorecard
What the $5,000 AI Scorecard delivers.
A sample scorecard for the Brickwren Assistant, a fictional operations chat already live in a rental platform. Yours tests one AI feature you have built, on your own cases.
What you get
- The scorecard, with each case and its result
- The ranked fix list, with impact and effort
- The test cases, ready to run again after every release
- Draft answers for your customers' security questionnaires about AI
- Cost per property, and a packaging recommendation
- A fixed-price quote to fix or extend it; the $5,000 counts toward it
Illustrative demo on a fictional management company. Not client work.
What we tested
One AI feature, on your own cases.
Two weeks, in staging. Your reviewer picks the cases with us, so the grades reflect what owners, managers and crews actually ask.
Scope
- One live AI feature: the operations chat
- 50 requests from owners, managers and cleaners, picked with your reviewer
- Test accounts for each role, to check permissions
- Your staging environment and model settings as they run today
01 · The scorecard
Seven areas, each graded on evidence.
Every result links back to the cases behind it. All figures here are illustrative, on a fictional product.
| Area | Grade | What we found |
|---|---|---|
| Permissions | D | A cleaner session could call an owner tool |
| Bookings | C | 2 of 50 cleanings booked over a check-in |
| Timezones | C | Times shown in the server's timezone |
| Shared chat | B | Answers messages meant for another person |
| Prompt injection | C | Text in a guest note changes the action |
| Language | B | Replies in English to Spanish messages |
| Cost per property | B | Within target; long chat history drives the peaks |
02 · Ranked fix list
What to fix first, by impact and effort.
Ranked so your team can start on the top items the week the scorecard lands, with us or on its own.
Top fixes
- Give each role and channel its own tool list.
- Check overlaps and check-in times before any booking is created.
- Store each property's timezone and use it in every answer.
03 · Security questionnaire answers
Draft answers to the AI questions your customers send.
Written from what we tested, with the details your team confirms in brackets. They describe how the feature works; they are not compliance claims.
04 · Packaging and quote
Include it, or sell it. Then fix it at a fixed price.
With the cost per property in hand, we recommend whether to include the feature in every plan or sell it as a tier, and quote the fixes. The fixed quote is in your Scorecard; the $5,000 counts toward it.
Get a scorecard for your own AI feature.
Bring the AI feature you have built and what your customers ask about it. In 30 minutes we agree what the Scorecard would test.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.