examples/apps for your team/RFPRoom
// RFPRoom ships in the Editorial design system

The dashboard reads like a quarterly.

RFPRoom’s actors, end-to-end workflow, and marquee artifact rendered in the Editorial template’s voice. Same data, template-native composition.

// THE MASTHEAD
Contributors & Editors
this quarter, eight in attendance
NV
Nina Vega
VP sales
1 in queue
PM
Pria Martin
Proposals lead
· EDITOR ·
4 in queue
TR
Tariq Rao
SME · security
6 in queue
KE
Kim Ellis
SME · platform
4 in queue
AS
Asha Sen
Legal
2 in queue
DM
Dan Morrow
Reviewer
3 in queue
EQ
Eli Quinn
Submitter
1 in queue
// BYLINE · SIGNATORIES IN ORDER

By the undersigned

3 of 5 affixed; two remain
P. Martin
Brief
Apr 12
·
SMEs
Draft
May 03
·
D. Morrow
Review
May 14
·
4
A. Sen
Legal
in review
·
5
E. Quinn
Submit
// THE PRINTED PACKET · 4 PP.

Northwind · platform RFP-2031

Final RFP response packet · APP 07 · MMXXVI
Northwind RFP-2031
Pinegate Software · period ending due 2026·06·14
Lead
P. Martin
SMEs
T. Rao · K. Ellis
Legal
A. Sen
Final review
D. Morrow
#descriptionsched value%this draw
01Security · auth strategyQ-007100fresh
02Data residencyQ-014100stale
03SLA · regionQ-022100fresh
04Audit · SOC2Q-031100fresh
05Onboarding · migrationQ-04972drafting
06RoadmapQ-05864drafting
07PricingQ-08020queued
09ReferencesQ-1000queued
— Set in DM Serif Display, Plex Serif & Mono · printed by uStack Press · MMXXVI · page 1 of 4 —
RFP RESPONSE WORKFLOWLIVE DEMO

RFPRoom

B2B teams answer RFPs and security questionnaires by digging through old PDFs, hunting for who has the latest answer, and waiting on reviewers — every question, every response.

RFPRoom moves RFP intake, AI-drafted answers, reviewer chains, version-controlled answer libraries, and final packet generation into one workflow.

7 roles · 4 workflow paths · 15 entities · 13 screens

// why this is hardAnswer freshness matters, security and legal both need sign-off, and the team has to track which answers won and which lost.

Open the live demo ↗Sign in to build yours →// rfproom.ustack.ai
AI answer draftingReviewer chainsAnswer library + freshnessWin/loss trackingGenerated packets
// target buyer
  • ·B2B sales + SE teams
  • ·Security teams answering questionnaires
  • ·Agencies responding to RFPs
// why this is a great uStack demo

The strongest AI-as-feature demo: AI drafts from approved library content and routes answers for review.

// actors

Roles with distinct permissions and access.

ActorRole
Proposal ManagerOwns RFP workspace + deadlines
Sales RepCreates opportunity + tracks submission
Solutions EngineerDrafts technical answers
Security ReviewerReviews security/compliance content
Legal ReviewerReviews contract/legal language
Executive ApproverApproves final submission
Knowledge AdminMaintains answer library
// core workflows

Happy. Exception. Approval. Reporting.

// 01 · happy path

Manager creates RFP → questions imported or seeded → assigned by category → AI drafts initial answers from library → contributors refine → reviewers approve → final packet generated.

// 02 · exception path

Contributor selects prior answer → system flags it as older than freshness policy → admin must refresh → reviewer approves updated answer.

// 03 · approval path

Question category requires legal/security approval → draft cannot finalize until approver signs off → decision logged with citations.

// 04 · reporting path

RFP completion status, reviewer bottlenecks, answer reuse rate, win/loss notes, common objection categories, security-questionnaire turnaround.

// surfaces

Screens and data model.

// screens · 13
  • ·RFP dashboard
  • ·RFP detail
  • ·Question grid
  • ·Answer editor
  • ·AI draft assistant panel
  • ·Answer library
  • ·Reviewer queue
  • ·Security questionnaire mode
  • ·Final packet preview
  • ·Win/loss notes
  • ·Knowledge maintenance
  • ·Reports
  • ·Settings
// data model · 15 entities
AccountOpportunityRFPRFPQuestionAnswerDraftApprovedAnswerAnswerLibraryEntryCategoryAssignmentReviewDecisionSourceSnippetStalenessFlagSubmissionPacketWinLossRecordAuditEvent
// run-time

Automations and generated outputs.

// automations
  • Auto-assign questions by category
  • Stale-answer flags
  • Completion percentage rollups
  • Auto-route to required reviewers
  • Packet generation on approval
  • Knowledge-refresh task creation
// generated outputs
  • RFP response packet
  • Security questionnaire export
  • Answer library export
  • Reviewer status report
  • Win/loss summary
  • Stale content report
// deployment rationale
Why this app runs honestly with no integration sprawl.

// v1 demos without third-party services

AI drafting is one API key. No CRM or document-ingestion service required. Database-driven workflow tool with an AI assist panel.

// this isn't a mock

This exact app is live and clickable at rfproom.ustack.ai. Click around — same architecture described above.

// stack
Next.jsNeon PostgresPrismaAuthVercelAI draftingRBACPDF generation
build your version of this

Same architecture. Your scope.

Sign in, write a paragraph that describes your version of RFPRoom, and uStack ships a working app on your URL. Take the code, have us host it, or scope a custom build — same production methodology underneath.

Sign in to start →← Back to examples