Application Layer — Sales & Revenue

AI Proposal Generator

Assembles accurate, on-brand proposals from approved content in a fraction of the manual drafting time.

Built on Foundation Layer
RAG & Knowledge Retrieval, Enterprise AI Gateway, Agentic Orchestration Platform
The problem

What breaks without this

  • Proposal drafting consumes significant sales-cycle time, especially for configurable or multi-product deals.
  • Reused content drifts out of date, creating inconsistent pricing or terms across proposals.
  • Proposal quality varies significantly by rep and by how much time is available before a deadline.
In one paragraph

Assembles client-ready proposals from a library of approved content blocks, current pricing and deal-specific inputs, producing a structured first draft for sales and legal review instead of a manual cut-and-paste exercise.

Capabilities

What it does

Assembly from an approved content and clause library, kept current by content owners.

Deal-specific customization based on CRM data — industry, deal size, prior conversation notes.

Automatic pricing and product configuration lookups against current price books.

Structured output in the organization's existing proposal template and brand system.

Version tracking so every sent proposal is reproducible and auditable.

How it works

From request to result

01

Configure

Deal parameters — products, pricing tier, terms — are pulled from the CRM or entered by the rep.

02

Assemble

The generator selects and customizes approved content blocks matching the deal profile.

03

Review

Sales and, where required, legal review the draft before it is finalized.

04

Send & track

The final proposal is versioned, sent and tracked for engagement.

Governance & security

Built to be audited, not just used

  • Only approved, current content-library entries can be used — the generator cannot fabricate pricing or terms.
  • Discounting or non-standard terms above a threshold route to a required approval step.
Integrates with

Fits existing infrastructure

CRM CPQ / pricing systems Document management AI Contract Review
What changes

Outcomes to expect

Qualitative, directional outcomes. We do not publish unverified performance figures — see the case studies section for engagement-specific, authorized results.

  • Proposal drafting time drops from a multi-hour manual task to a review-and-adjust step.
  • Pricing and terms stay consistent because they are sourced from a single approved library.
  • Proposal quality becomes consistent across reps rather than dependent on individual effort.

Evaluate AI Proposal Generator for your environment

Talk to an architect about integration into your existing stack, or request a scoped demo against a representative use case.