Translating a 45-min call into a proposal that mirrors your past wins, references their actual context, and lands at the right price takes most reps half a day they don't have.
Everything the doc needs already lives in your systems. The drudgery is finding it, deduping it, and threading it into prose.
Template from your past output. Voice from your past writing. Content from this week's materials. No prompting; nothing to learn.
The output is a *draft*, not a final. You review it. The point is everything before the review is now zero work.
The artifact is built from your existing materials, not generated from scratch. Indistinguishable from what you'd write.
On our call, Sarah mentioned that "our ops lead spends 1 day/week on this report" — a manually-built freight reconciliation that pulls from your TMS, carrier portals, and accounting. You're growing 2× YoY and the report is becoming the bottleneck.
Closest analog: we built a similar reconciliation for Pegasus Logistics (60-employee freight broker, similar TMS). Their ops lead went from 1 day/week to 20 min/week. Case study attached.
Generic AI writers produce generic AI prose. This is built from your past output — the result reads like you, follows your structure, and uses your phrasings. Your team and readers won't notice anything changed except how fast it arrived.
Once a doc is set up, it auto-regenerates on the right cadence. You stop writing it; you start reviewing it.