Use cases · Illustrative scenarios

Three teams, three ways in.

The companies below are fictional — the workflows are exactly what you’d ship. Pick the scenario closest to yours and walk it end to end.

LedgerlineCMD+K Widget

Fictional invoicing & accounting SaaS · 40 people · 9,000 customers

A support assistant that closes the ticket itself.

Support volume grew linearly with customers. 60% of tickets were questions the product could already answer — users just couldn't find the button. Docs existed; nobody read them.

Walk the workflow

MapgridBuild MCP

Fictional geodata API company · developer-first · usage-priced

Their API, callable from every AI their customers use.

Developers were copy-pasting Mapgrid responses into AI chats by hand. The team estimated a quarter of eng time to build and operate an MCP server properly — OAuth, token storage, rate limits, logs — for a protocol they weren't experts in.

Walk the workflow

DraftwingMonetize

Fictional proposal-writing SaaS · AI-native · 12,000 seats

AI features that pay for themselves — and then some.

Flat-rate pricing met unbounded AI usage. Finance saw model invoices growing 30% month over month with no matching revenue line, and nobody could say which customers or features burned the spend.

Walk the workflow

Three teams, three ways in.

A support assistant that closes the ticket itself.

Their API, callable from every AI their customers use.

AI features that pay for themselves — and then some.

Ship the layer betweenyour product and AI.

Ship the layer between
your product and AI.