A proposal that understands what business you're actually in.
A construction firm, a healthcare provider, and a software agency all sell, price, and document differently. Generic quotation templates don't know that — this would.
Nothing on this page is available in the product today.
Enterprise-grade, any industry
Target — document quality
Adapts to how you actually sell
Target — pricing models
Playbook before the first meeting
Target — new-rep ramp
Most business platforms give every customer the same generic quotation and invoice template, then expect the business to customize it by hand — but a construction firm, an architecture studio, and a digital agency don't sell, price, or document the same way.
Document generators are built industry-agnostic by default, because modeling how every industry actually estimates and contracts is a lot more work than one generic template.
Proposals end up looking like they came from a generic CRM instead of a firm that understands the client's business — and estimation, pricing structure, and required clauses get redone by hand every time.
An Industry Knowledge Engine would drive document generation — proposal structure, pricing model (fixed, hourly, milestone, BOQ, retainer, and more), required clauses, and terminology would all adapt to the selected industry before a single line is drafted.
Estimate effort (hours, resources, complexity) with a stated, explainable basis — never a black-box number — and draft the proposal narrative from real deal context in the CRM, the same honest-AI seam every other AI feature on the platform already uses.
A new employee producing proposals with the structure and consistency of an experienced sales consultant, from day one — this is a target, not a measured result.
Every generated document's real outcome — won, lost, negotiated — would feed back into which proposal structures and pricing approaches actually convert for that org's industry, the same Company Memory pattern as the Campaign Knowledge Engine.
Not a bolt-on, if it's built — part of the same platform
Customer Cloud
Proposals would draft directly from real CRM deal context instead of a blank form.
Revenue Intelligence Cloud
Won/lost outcomes on generated proposals would feed the same attribution pipeline that already tracks lead source through revenue today.
AI Workspace
Man-hour estimation and proposal drafting would route through the same bring-your-own-AI provider layer as every other AI feature on the roadmap.
Which industry should this start with?
Tell us how your business actually quotes and contracts today — it's the input this would be built from.