AI for Fintech

Sample Build Sprint Pack

What the $10,000 Build Sprint delivers.

A sample Build Sprint Pack for Deally on Keelstone, a fictional private investment platform. Three weeks: one user outcome working in staging, with the evidence to decide on production.

What you get

  • One user outcome working in your staging, behind a feature flag
  • Pull requests to your repository, reviewed by your engineers
  • Quality and safety evals against the bar you agreed
  • The cost per deal on two models, and a packaging recommendation
  • A fixed-price quote for production; the $10,000 counts toward it

Illustrative demo on a fictional firm. Not client work.

The outcome

Issuers finish a deal from their own files.

Three related capabilities, built in your repository on sample deals and documents, behind a feature flag.

Built in the Sprint

  • File reading for one deal type, in the background
  • Field by field suggestions beside current values
  • The gate before publishing

How the three weeks run

  • Week 1: deal forms mapped, eval set agreed with your reviewer
  • Week 2: capabilities built as pull requests to your repo
  • Week 3: evals, cost to serve, the Sprint Pack and the quote

01 · Evals

Quality measured on your eval set.

Illustrative results on a fictional product.

Suggested values that match the files188 of 20090%
Values not in the files left blank40 of 40100%
Each suggestion linked to its source200 of 200100%
Another issuer's data returned0 of 30 attempts0

02 · Cost to serve

A cost per deal before you price it.

Compared on two models, with the assumptions shown. Your figures come from your own usage.

03 · Packaging

Include it, or sell it as a tier.

A recommendation from the cost per deal and what your issuers said in the Sprint.

04 · Quote

A fixed price to take it to production.

The fixed quote is in your Sprint Pack. If you go ahead, the $10,000 counts toward it; if you stop, you keep what we built.

See what a Build Sprint would deliver on your platform.

Bring the outcome your users ask for. In 30 minutes we agree whether a module fits and what the Sprint would build.

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.