--- title: "Proposal Management AI agents" section: "Agent store — Sales — processes" canonical_url: "https://leverge.ai/agents/sales/proposal-management" category: "Sales" process: "Proposal Management" publisher: "Ailoitte Technologies Private Limited" --- # Proposal Management AI agents 12 production agents automating proposal management within sales. Each one runs today and publishes its inputs, steps and outputs. ## Agents in this process ### Compliant Revision Generator URL: https://leverge.ai/agents/sales/proposal-management/compliant-revision-generator Upload customer-facing text and get every claim that breaks your messaging policy rewritten — with the original and the replacement side by side so a reviewer can check each change. Steps: Reading the draft → Looking up the messaging policy → Finding and rewriting non-compliant claims → Writing the reviewer note. Returns: Can this go out?; Reviewer note; Original → replacement; Cannot be rewritten — must be removed or substantiated; Policy applied. ### Post-Proposal Feedback Analysis URL: https://leverge.ai/agents/sales/proposal-management/customer-feedback-insights Read what customers said after seeing a proposal — won, lost, and still open — and find what the proposal itself is getting right and wrong. Steps: Reading the feedback → Finding what the proposal gets right and wrong → Writing the brief. Returns: What the feedback says; Themes; By proposal section; Change the proposal. ### Proposal Approval Routing URL: https://leverge.ai/agents/sales/proposal-management/proposal-approval-routing Work out which reviewers a proposal actually needs, in what order, and by when — instead of sending it to everyone and waiting. Steps: Reading the proposal → Working out who must review → Briefing reviewer {{loop.index}} of {{loop.total}}. Returns: Who reviews what; Review sequence; Timing risk; Review requests — approve each individually. ### Proposal Drafting URL: https://leverge.ai/agents/sales/proposal-management/proposal-drafting Draft a proposal from your approved boilerplate and the deal's own facts — with a visible marker anywhere the library has nothing to say. Steps: Selecting from the proposal library → Drafting the proposal → Checking the draft. Returns: Ready for review?; Draft proposal; Where each section came from; Needs a human; Library sections used. ### Proposal Exception Closure URL: https://leverge.ai/agents/sales/proposal-management/proposal-exception-closure Track the open exceptions on a bid — the non-compliant answers, the unanswered clarifications — and establish which are genuinely closed before submission. Steps: Reading the exceptions log → Checking which are actually closed → Writing the closure status. Returns: Closure readiness; Where this stands; Exception by exception; Blocks submission. ### Proposal Feedback Consolidation URL: https://leverge.ai/agents/sales/proposal-management/proposal-feedback-consolidation Upload a proposal draft and every reviewer's comments, and get one consolidated redline list with conflicts between reviewers surfaced rather than silently resolved. Steps: Reading the proposal draft → Reading reviewer {{loop.index}} of {{loop.total}} → Consolidating every reviewer's points → Writing the revision brief. Returns: Revision brief; Consolidated redlines; Reviewers disagree — decide before editing; Revision order. ### Proposal Finalization URL: https://leverge.ai/agents/sales/proposal-management/proposal-finalization Turn a signed-off proposal into the records the rest of the business needs — the CRM update, the finance handover, the delivery brief — each with only what the proposal actually establishes. Steps: Reading the final proposal → Extracting the downstream records → Writing the handover note. Returns: Can the records be created?; CRM update; Field by field, with source; Handover note; Not in the proposal. ### Proposal Submission Check URL: https://leverge.ai/agents/sales/proposal-management/proposal-submission-check Check a proposal package before it is submitted — every required document present, every figure consistent across them, and every submission rule met. Steps: Reading document {{loop.index}} of {{loop.total}} → Checking the package → Writing the submission note. Returns: Can this be submitted?; Submission note; Submission requirements; Documents disagree. ### Proposal Version Assurance URL: https://leverge.ai/agents/sales/proposal-management/proposal-version-assurance Establish which proposal version the customer actually holds, what changed between versions, and whether the record can prove it. Steps: Reading version {{loop.index}} of {{loop.total}} → Reading the send record → Establishing what the customer holds → Writing the assurance record. Returns: Can the record prove what was sent?; Assurance record; What changed between versions; Exposure. ### Requirement Change Monitor URL: https://leverge.ai/agents/sales/proposal-management/requirement-change-monitor Paste a customer message and get it checked against the requirements you are already working to — what changed, what is new, and what it does to scope you have already priced. Steps: Reading the agreed requirements → Detecting changes → Checking whether scope moved. Returns: What this message is; Changes detected; What this means; Raise with the customer. ### Requirements Validation URL: https://leverge.ai/agents/sales/proposal-management/proposal-requirements-validation Upload an RFP or requirements document and get every requirement extracted, classified by whether you can actually answer it, with the ambiguous ones written as clarification questions. Steps: Reading the document → Checking the document length → Writing the clarification questions. Returns: Coverage; Every requirement; Cannot answer as written; Clarification questions to send. ### RFP Response Drafting URL: https://leverge.ai/agents/sales/proposal-management/rfp-response Turn an RFP into a drafted response built from your approved answer library, with every unanswered requirement listed rather than quietly filled in. Steps: Reading the RFP → Pulling out the requirements → Searching your answer library → Drafting the response → Checking coverage. Returns: Requirement coverage; Drafted response; Needs a human answer; Drawn from your library. --- Source: https://leverge.ai/agents/sales/proposal-management — Leverge