The Challenge
RFPs contain hundreds of questions, many repeated from previous submissions. Sales teams manually search past responses, update details, and ensure consistency ā taking days per proposal.
The AI Desk Solution
AI Desk matches RFP questions to your content library and generates draft responses automatically.
The Workflow
Step 1: Upload RFP
Input: RFP document
Sources: Past RFPs, product docs, case studies
Step 2: Response Matching
- Match questions to existing answers
- Customize for prospect context
- Flag gaps for SME input
Step 3: Draft Proposal
š RFP Response: Acme Corp
COMPLETION: 82% auto-filled
āāā Total questions: 156
āāā Auto-answered: 128
āāā Needs review: 20
āāā Needs SME: 8
SECTION: COMPANY OVERVIEW
Q: Describe your company history.
A: [Auto-filled from boilerplate] ā
Q: List your key customers in manufacturing.
A: TechMfg, GlobalParts, PrecisionCo...
[Customized for their industry] ā
SECTION: TECHNICAL CAPABILITIES
Q: Describe your security architecture.
A: [Pulled from security whitepaper] ā
Q: What AI models do you use?
A: [From product documentation] ā
SECTION: IMPLEMENTATION
Q: Typical implementation timeline?
A: [From similar customer cases] ā
NEEDS SME INPUT
āāā Q89: Custom SLA requirements
āāā Q102: Specific pricing model
āāā Q134: Legal indemnification terms
NEXT STEPS
āāā Review auto-filled responses
āāā Route SME questions
āāā Customize executive summary
āāā Final review and submit
Value Proposition
- Time Saved: 6 hours per RFP
- Consistency: Same quality every time
- Win More: Faster, better responses
Part of the 100 Days 100 Usecases campaign. View all usecases