RFP Desk
Decide which inbound RFPs to pursue, then answer them from a reusable library of approved answers and hand the buyer back their own completed questionnaire.
MangoApps
Overview
RFP Desk answers two questions that belong to different people at different moments, and keeps them separate.
First: should we bid? Paste or upload an inbound RFP and it shreds the requirements, judges each against your capability profile, and screens the terms the RFP mandates against your walk-away rules. The score is plain arithmetic over a rubric you set — the AI extracts and assesses, it never picks the number. Two hard gates override the total outright: an unmet mandatory requirement, or an RFP demanding something you have said you will never accept.
Then: write it. Import the buyer's Excel or Word questionnaire and you get that same file back with their response column filled — buyers dictate the format, so a generated lookalike is not an answer. Every question is answered from your approved answer library first, then from reference documents you uploaded, with a citation to the exact document and section used; what none of it supports comes back marked as needing input rather than invented. For prose RFPs it drafts the whole document — opening sections included, cover letter through delivery approach — and exports it as a Word file carrying your logo, brand color, and confidentiality footer.
The library is what makes repeat RFP work tractable, and it compounds: every entry carries an owner and a last-reviewed date, stale claims are flagged where they are reused, and winning a bid harvests its approved answers back into candidates for a human to bank. A buyer choosing your bid is not a person confirming a claim is still true, so a win never resets the freshness clock.
Questions only a subject-matter expert can answer go to them as a task in the inbox they already use, with a link straight back to the question — no guest seat, no second tool. Approval is gated on the things that lose bids: no unanswered section, none unreviewed, and no required deliverable left unticked. Nothing is ever submitted automatically; the bid decision stays yours.
Highlights
Capabilities
Bid / No-Bid Decision
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Requirement shredding from an inbound RFP, with mandatory flags and evidence
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Deterministic fit score over a rubric you weight — the AI assesses, never scores
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Walk-away rules screen mandated terms; a hit is a hard no-bid gate
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Unmet mandatory requirements are a second hard gate, independent of the score
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Unscreened criteria are EXCLUDED from the score rather than silently passed
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Rubric, capability profile, and house style guide — with working defaults out of the box
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Record the bid decision and open the pursuit in Mango GTM (when enabled)
Responding
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Questionnaire import from Excel or Word — finds the question column in a sheet or a table
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Round-trip export writes answers into the buyer's ORIGINAL file
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Prose RFPs: draft from the assessment and export a formatted Word response document
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AI-drafted opening sections — cover letter, executive summary, why-us, delivery approach
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Branded Word export: your logo, brand color, running header, and confidentiality footer
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Answer one pasted question on demand, with citations and a confidence tier
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Per-section editing, re-drafting with reviewer guidance, and copy-as-text
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Requirements nothing supports come back marked for a human — never invented
Answer & Reference Libraries
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Approved answers reused before anything is generated
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Bulk import an existing answer spreadsheet with column matching and a review step
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Owner and last-reviewed date per answer; stale entries flagged where reused, and mark-reviewed re-confirms without editing
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Reworded-duplicate warnings before a twin of an existing answer enters the library
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Semantic search with a text fallback, so a part-indexed library still answers
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Upload reference documents (PDF/Word, singly or in bulk) or index web pages by URL with linked-page discovery
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Drafts cite the document and section they drew on — fabricated citations are dropped, not shown
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Mark a document authoritative: it wins when sources conflict, and the discrepancy is flagged, never blended
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Per-document visibility (admins / managers / everyone), enforced at retrieval time
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Ground drafting on ALL company knowledge — deliberate opt-in; the curated library is the default
Subject-Matter Experts
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Send a question to the person who can answer it, as a task deep-linked to the exact section
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The task closes itself when the answer lands, so the queue drains
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Members can participate; assignment to others honours the Tasks policy
AI Agents
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Bid Fit agent in Ask AI — assess, explain a score, maintain the profile and rules
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RFP Response agent — draft, re-draft, resolve gaps, search and curate the library
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Each agent has its own tenant toggle and can run without the other
Review, Sign-Off & Submission
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Draft, on hold, in review, approved, submitted — one workflow every surface obeys
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Approval gates: no open gaps, no unreviewed sections, no missing required deliverables
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Content locks on approval; reopening revokes it, and editing a section withdraws its review
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Checklist of what must be SUBMITTED, not just answered — W-9s, certificates, forms
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Deadline nudges on a schedule, including approved-but-not-yet-sent responses
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Attach the buyer's other documents — addenda, pricing sheets, sample contracts
Learning From Past Bids
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Winning a bid harvests its approved answers into candidate library entries
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Mine a past submission document into question/answer candidates
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Candidates always go to a human pick — nothing is auto-published to the library
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Buyer-specific prose is kept out: library-sourced sections are skipped on harvest
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A win never resets an answer's freshness clock — owners get scheduled re-review nudges instead
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Import your existing RFP tracker history from a spreadsheet, statuses and outcomes mapped
Limits & Specs
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Questionnaire upload: .xlsx or .docx, 10MB maximum
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Up to 500 questions per questionnaire; a truncated import says so
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Up to 30 requirements per drafting pass
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Mobile response list and detail (read-only; authoring stays on desktop)
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Pricing: $40 per operator / month
Use cases
Resources
FAQ
No. The AI extracts requirements and assesses each one against your capability profile; the score itself is plain arithmetic over a rubric you weight, so the same inputs always produce the same number. The recommendation is advisory and the decision is yours.
No. Anything neither your approved answer library nor your capability profile supports comes back explicitly marked as needing human input, rather than smoothed over. Those gaps are the useful output.
Yes. Import their .xlsx and the export writes your answers into that same workbook — their sheets, their columns, their internal notes untouched — because buyers dictate the format and a lookalike is not an answer.
No. They are already users of the platform. A question routes to them as a task in the inbox they use every day, with a link back to the exact section — no guest account, no per-seat cost for someone who answers four questions a quarter.
Every library answer carries an owner and a last-reviewed date, and anything past its twelve-month freshness window is flagged at the point of reuse rather than in a report nobody opens. A scheduled nudge asks owners to re-confirm. Winning a bid deliberately does NOT reset that clock, because a buyer choosing your bid is not a person confirming a claim is still true.
It produces candidates, never entries. A won bid's approved answers are mined into question and answer pairs and routed to a human pick, because plenty of winning prose is specific to one buyer. Sections that came out of the library are skipped entirely, so a curated original is never overwritten by a one-buyer variant.
Two ways. Bulk-import an existing answer spreadsheet with column matching and a review step, or upload a past submission document and have it mined into question and answer candidates. Both end in a human choosing what enters the library.
Three gates, enforced on the record itself so every surface obeys them: no section still needing human input, no section left unreviewed, and no required deliverable unticked. Content locks on approval, and reopening for edits revokes the approval rather than leaving a stale sign-off standing.
Yes. It drafts the opening sections — cover letter, executive summary, why-us, delivery approach — from your capability profile and what the response itself already answers, under the same honesty rules as everything else: nothing gets invented, and a section the material cannot support comes back marked for a human. They lead the branded Word export and are never written into the buyer's questionnaire file.
Every section is labelled with its grounding — an approved library answer, your capability profile, or a cited reference document — and knowledge-grounded drafts carry citations to the exact document and section used. You can mark a document as the authoritative source for its subject; when sources disagree, it wins and the discrepancy is flagged for review rather than blended into one claim.