Dashboard
Your Paavya sales command center
68%
Avg Win Rate
↑ vs. 42% industry avg
4 hrs
RFP Response Time
↓ from 40+ hrs manually
$24k
Avg Deal Size
ARR
14 days
Avg Sales Cycle
SMB · Enterprise varies
10×
ROI Delivered
Per customer, year 1
Quick Access
LinkedIn DMs
Cold Email
Discovery Guide
Competitor Intel
Objection Handles
AI Coach
Paavya's core value prop: We turn 40-hour RFP marathons into 4-hour wins. Companies using Paavya win 68% of their bids — up from the 42% industry average — because our AI learns your voice, your differentiators, and your past wins to craft responses that actually resonate.
Who buys Paavya: Sales ops leaders, proposal managers, and revenue teams at B2B SaaS companies and professional services firms that respond to 5+ RFPs per month. Primary pain: RFPs are resource-intensive, inconsistent, and slow down pipeline velocity.
LinkedIn DMs
Battle-tested outreach messages for every scenario
Connection Request — Sales Ops Leader
Hi [Name] — I noticed you're leading sales ops at [Company]. We've been helping similar teams cut RFP response time from 40 hours down to 4. Would love to connect and share what's been working.
Connection Request — Proposal Manager
Hi [Name] — Saw you manage proposals at [Company]. Teams like yours are using Paavya to respond to 3× more RFPs with the same headcount. Happy to share how — would love to connect.
Cold DM — After Connecting (Day 3)
Thanks for connecting, [Name]. Quick question: how long does it currently take your team to respond to a typical RFP? We built Paavya to solve exactly that — our AI drafts complete, on-brand RFP responses in hours, not days. Companies like [similar company] cut their response time by 90% in the first month. Worth a 20-minute look?
Cold DM — Trigger: Job Posting (Proposal Writer Role)
Hi [Name] — I saw [Company] is hiring a proposal writer. Before you add headcount, worth knowing: Paavya lets your existing team handle 3× the RFP volume using AI. Several of our customers paused similar hires after seeing the ROI. Happy to show you the math — 15 minutes?
Follow-up DM — After No Response (Day 7)
Hey [Name] — didn't want to lose you in the inbox noise. One stat that tends to get people's attention: our customers win 68% of RFPs on average, vs. the 42% industry average. The difference is quality and speed — both things Paavya directly improves. Worth a quick call?
Post-Demo DM — Keep Momentum
Hey [Name] — great talking through Paavya today. I'm sending over the one-pager and ROI estimate we discussed. One thing I forgot to mention: we can have your knowledge base fully loaded and your first RFP response drafted within 48 hours of signing. So you'd see real value before the end of next week. Anything I can answer before we chat with [other stakeholder]?
Cold Email
High-converting email templates by angle
Problem-Led — Subject: "How long does an RFP take your team?"
Hi [Name], Most proposal teams I talk to spend 20–40 hours on a single RFP response. That's two full weeks of capacity — per RFP. Paavya cuts that to 2–4 hours. Our AI learns your product, your wins, and your voice, then drafts complete RFP responses you just review and send. Teams at [similar company type] are using us to respond to 3× more opportunities without adding headcount — and winning more of them. Worth 20 minutes to see it in action? [Your name]
ROI-Led — Subject: "The math on your RFP process"
Hi [Name], Quick back-of-napkin for [Company]: If your team responds to 10 RFPs/month at 30 hrs each → 300 hrs of senior talent/month on proposal writing. At a fully-loaded cost of $75/hr → $22,500/month, $270k/year. Paavya cuts that by 90%. Most customers see payback in 6 weeks. Happy to run the actual numbers for your team on a 15-minute call. [Your name]
Competitor Displacement — Subject: "Beyond Loopio / Responsive"
Hi [Name], If you're using Loopio or Responsive, you already know the pain: massive content libraries that go stale, lots of copy-paste work, and AI that still requires heavy editing. Paavya is built differently. Instead of a content library you maintain, our AI learns from your existing materials and generates complete, contextual responses — not just pulled quotes. The result: 90% less editing time, and responses that actually sound like your team wrote them. 15 minutes to compare approaches? [Your name]
Trigger: Hiring — Subject: "Before you hire that proposal writer…"
Hi [Name], I saw [Company] is hiring a proposal writer — congrats on the growth. Before you onboard someone new, thought it was worth sharing: several of our customers paused similar hires after realizing Paavya could handle 3× their RFP volume at a fraction of the cost. The typical sales for that role is $80k–$120k/year. Paavya starts at $299/month. Would you be open to a 20-minute comparison before you finalize the hire? [Your name]
Follow-up Sequence
Multi-touch cadence from first touch to closed-won
Day 0 — First Touch
Email or LinkedIn DM. Lead with the pain: RFP time drain. Include one stat (90% time reduction). CTA: 20-min call. Keep it under 80 words.
Day 3 — Value Add
Email. Send something useful: "Thought you'd find this interesting — here's how [similar company type] cut their RFP cycle from 3 weeks to 3 days." Link to a case study or stat. No hard ask.
Day 7 — Social Proof
LinkedIn DM or email. "Wanted to share one result before I stop bugging you — [customer type] went from a 28% to 71% win rate in 60 days. Happy to show you how. If now's not the right time, no worries at all."
Day 14 — ROI Angle
Email. Run the quick math: their estimated RFP hours × headcount cost × 90% savings = annual value. Subject: "Quick math on [Company]'s RFP process." Make it personal and specific.
Day 21 — Trigger / Relevance
Email or call. Use a relevant trigger — job posting, press mention, funding announcement, quarter-end push. "Saw [X] — seems like timing could be right for this conversation."
Day 30 — Break-up
Email. "Hey [Name] — I'll stop reaching out after this. If RFP efficiency ever becomes a priority, I'd love to reconnect. In the meantime, here's my calendar: [link]. Take care." This often gets replies.
Pro tip: Mix channels — don't just email. LinkedIn DMs on day 3 and 14, a phone call on day 21. Multi-channel sequences get 3× higher response rates than email-only.
Discovery Call Guide
Framework and questions to qualify and disqualify fast
Goal of discovery: Understand their current RFP process, quantify the pain, identify the economic buyer, confirm timeline and budget, and determine if Paavya is actually the right fit. Don't oversell — disqualify bad fits early.
Pre-Call Checklist
  • Research the company — industry, size, public RFP activity (search "[Company] RFP" or "request for proposal")
  • Find their proposal team — LinkedIn: search "[Company] proposal manager" or "sales operations"
  • Check for competitor signals — are they using Loopio/Responsive/other? (job postings often mention tools)
  • Know their top customers — enterprise buyers often have complex RFP processes
  • Set an agenda — send it 24hrs before: "15 min: your current process → 10 min: Paavya overview → 10 min: Q&A + next steps"
Discovery Questions — Process
  • "How many RFPs does your team respond to per month?"
  • "Walk me through your current process — what happens when an RFP lands?"
  • "How long does a typical response take from receipt to submission?"
  • "How many people are involved in each response?"
  • "What tools are you using today? (Word, Google Docs, Loopio, etc.)"
  • "What's your current win rate on competitive bids?"
Discovery Questions — Pain & Impact
  • "What's the most frustrating part of your current process?"
  • "Have you ever had to decline an RFP because you didn't have bandwidth?"
  • "What would it mean for your team if you could respond to twice as many opportunities?"
  • "How consistent is the quality of responses across team members?"
  • "Is RFP quality something leadership is paying attention to right now?"
Discovery Questions — Budget & Decision
  • "Is improving your proposal process something your team is actively trying to solve?"
  • "Have you looked at other solutions? What made you want to explore this now?"
  • "Who else would need to be involved in a decision like this?"
  • "What does your typical evaluation and procurement process look like?"
  • "If this was the right solution, what would be your timeline to move forward?"
  • "Do you have a budget allocated for tooling in this area?"
MEDDIC Qualification: Metrics (how many RFPs, what win rate) → Economic buyer (who signs the check) → Decision criteria (what matters most) → Decision process (how they buy) → Identify pain (quantify the cost of their current process) → Champion (who's your internal advocate?)
Demo Playbook
How to run a demo that converts
Demo philosophy: Show, don't tell. Use their actual language and pain points from discovery. A demo should feel like a solution to their specific problem, not a product tour.
Act 1 — Set the Stage (5 min)
Recap discovery: "Based on what you shared, your team spends about 30 hours per RFP across 3–4 people. Today I want to show you specifically how Paavya addresses that."

Get agreement: "Does that match what you're hoping to see today?" This confirms you heard them and sets a specific success bar.
Act 2 — The Knowledge Base (8 min)
Show how Paavya learns their business. Upload a sample document (use demo content). Show how it extracts key facts, differentiators, pricing, and past answers.

Key line: "This is the last time anyone on your team has to write from scratch. Everything Paavya knows lives here and gets smarter with every RFP."
Act 3 — The Magic Moment (10 min)
Upload a real RFP (or demo RFP) and show the AI drafting responses. Walk through 3–4 questions that cover their typical pain areas: technical specs, security, pricing, case studies.

Let the output sit for a moment before speaking. Let them react. Then: "What would this have taken your team to write manually?"
Act 4 — Collaboration & Analytics (5 min)
Show team commenting, version history, approval workflow. Then show the analytics dashboard: win rate by question type, time saved, response volume over time.

"Your leadership will want to see these numbers. This makes proposal ROI visible for the first time."
Close — Next Steps (5 min)
Don't end with "any questions?" End with a specific next step:

"Based on what you've seen, does this solve the problem you came in with? … Great. The next step I'd suggest is a 30-minute session with [economic buyer] — I can have your knowledge base loaded with your actual content before that call so it feels real, not a demo. Does [date] work?"
Demo don'ts: Don't show every feature. Don't ask "does that make sense?" after every screen. Don't let it run over 35 minutes. Don't leave without a specific next meeting booked.
Objection Handles
Proven responses to every common pushback
ObjectionResponse
"We already use Loopio / Responsive.""Those are great for content libraries, but they're still manual at the response level. Paavya is the AI layer on top — we generate complete answers, not just surface stored content. Most teams that switch see 80% less editing time. Can I show you the difference in 20 minutes?"
"We don't respond to many RFPs.""What does a typical RFP mean for your deal size? … If even one RFP win per year pays for Paavya many times over, the math usually works. And most teams find they start pursuing more opportunities once the bandwidth constraint is removed."
"The AI output quality won't match our voice.""Totally fair concern — that's what most people worry about before they see it. Paavya trains specifically on your content: past RFPs, product docs, your website. The output sounds like you wrote it. I'd rather show you than tell you — can we run a quick demo with one of your actual past RFPs?"
"It's too expensive.""Let's run the math together. If your team spends 30 hrs per RFP and you do 8/month, that's 240 hours — roughly $18,000 in fully-loaded labor cost per month. Paavya starts at $299/month. Even at 50% time savings, that's a 30× ROI. Does that change the framing?"
"We need IT / security approval.""Completely understood. We're SOC 2 Type II compliant, GDPR-ready, and we have a security questionnaire we can get to your IT team today. Who should I send it to? Most of our customers clear security review in under two weeks."
"We're not ready / bad timing.""I hear you. When do you think timing will be better — is there a specific initiative or quarter-end that makes now difficult? I ask because we can often have you fully onboarded in 48 hours, so 'not ready' is rarely a real blocker. What would need to be true for this to be the right time?"
"We tried AI before and it didn't work.""What tool was it, and what specifically fell short? … That's a common experience with general-purpose AI like ChatGPT — it doesn't know your business. Paavya is purpose-built for RFPs and trained on your specific content. It's a fundamentally different experience. Want to compare side-by-side?"
"We need to involve more stakeholders.""That makes sense — who else needs to be in the room? I'd love to run a focused 30-minute session for your full decision group. I can have the demo customized around your specific use case. What works for everyone's calendar?"
"We can just use ChatGPT for free.""ChatGPT is great for general writing, but it doesn't know your products, pricing, or past responses. Every time you use it, you start from zero. Paavya builds a knowledge base that improves with every RFP — so month 6 is dramatically better than month 1. That compound learning is where the real value is."
Competitor Intel
Know the landscape — win the comparison
Loopio
Legacy content library · Enterprise-focused
Their Weaknesses
  • Manual content management — library goes stale fast
  • AI is bolt-on, not native — still requires heavy editing
  • Expensive ($30k–$80k/yr enterprise contracts)
  • Long implementation (3–6 months typical)
  • Requires dedicated admin to maintain the library
How to Win vs. Loopio
  • Paavya generates — Loopio retrieves. Big difference.
  • We're 90% faster to implement (days vs. months)
  • 10× lower cost for SMB and mid-market
  • No library admin needed — AI handles it
If they're already on Loopio: "Loopio is a great content library — Paavya is the AI that sits on top and actually writes the responses. They're complementary, but if your team still spends 20+ hours per RFP even with Loopio, that's the gap we fill."
Responsive (RFPIO)
Full-suite RFP platform · Complex
Their Weaknesses
  • Steep learning curve — 6–12 week onboarding typical
  • Overkill for teams under 50 RFPs/month
  • AI quality inconsistent — output still needs heavy editing
  • Enterprise pricing ($50k–$150k/yr)
  • Complex workflow that slows smaller teams down
How to Win vs. Responsive
  • Paavya is live in 48 hours — not 8 weeks
  • Better AI output quality (native, not add-on)
  • Purpose-built for teams of 2–20, not just enterprise
  • Transparent, affordable pricing
If they mention RFPIO/Responsive: "Responsive is the 800-lb gorilla — it does everything, which is also why it takes months to implement and requires a full-time admin. Paavya is specifically built to get you from RFP to response in hours, not weeks. Different tool for a different motion."
AutoRFP.ai
AI-native startup · Limited features
Their Weaknesses
  • Limited knowledge base capabilities
  • No team collaboration features
  • Basic AI — generic outputs
  • No analytics or win-rate tracking
  • Early-stage product — reliability concerns
How to Win vs. AutoRFP.ai
  • Paavya's knowledge base learns and improves over time
  • Full collaboration: comments, approvals, version control
  • Analytics dashboard — prove ROI to leadership
  • Dedicated onboarding and customer success
If they mention AutoRFP: "AutoRFP is a good starting point, but it's essentially a one-shot AI tool without the institutional knowledge layer. Paavya gets smarter with every RFP you run through it — month 12 is dramatically better than month 1. That's the compounding advantage."
The honest comparison: If someone is evaluating all three, position Paavya as the sweet spot — more capable and intelligent than AutoRFP.ai, faster and more affordable than Loopio and Responsive, with AI that's actually native (not bolted on). We win on speed-to-value, output quality, and total cost of ownership.
Product Deep Dive
Everything you need to know about what Paavya actually does
Core Capability — AI RFP Response Engine
  • Instant draft generation: Upload any RFP (PDF, Word, Excel) and Paavya generates complete, question-by-question responses in minutes
  • Context-aware responses: AI understands question intent, not just keywords — produces nuanced, accurate answers
  • Voice matching: Learns your brand tone and terminology across all responses — sounds like your team, every time
  • Section recognition: Automatically identifies and categorizes RFP sections (technical, pricing, security, legal, case studies)
Knowledge Base
  • Multi-source ingestion: Upload product docs, past proposals, website content, case studies, pricing sheets, security questionnaires
  • Auto-updates: Every submitted RFP response becomes training data — the AI improves continuously
  • Smart retrieval: AI surfaces the most relevant past answers for each new question, not just keyword matches
  • Conflict detection: Flags when new information contradicts existing knowledge base content
Collaboration & Workflow
  • Team review: Inline comments, @mentions, suggested edits — like Google Docs, purpose-built for RFPs
  • Approval workflows: Custom approval chains before submission — legal, technical, exec sign-off
  • Role-based access: Editors, reviewers, approvers, read-only — control who sees what
  • Deadline tracking: Never miss an RFP due date — automated reminders and progress tracking
Analytics & Reporting
  • Win rate tracking: Track win/loss by RFP type, industry, deal size, and response quality
  • Time savings: Real data on hours saved per RFP — build your ROI case automatically
  • Question performance: See which question categories you're winning or losing on
  • Volume trends: Track RFP intake, response rate, and pipeline contribution over time
Integrations
  • CRM: Salesforce, HubSpot — auto-create and update opportunities from RFP activity
  • Communication: Slack — notifications, deadline alerts, approval requests in your existing channels
  • Storage: Google Drive, Dropbox, SharePoint — sync your existing document library
  • Export: One-click export to Word, PDF, Excel matching the original RFP format
Security & Compliance
  • SOC 2 Type II certified — enterprise-grade security posture
  • GDPR compliant — data residency options for EU customers
  • SSO: SAML 2.0, Okta, Google Workspace — no new passwords to manage
  • Data isolation: Your knowledge base is never used to train models for other customers
  • Encryption: AES-256 at rest, TLS 1.3 in transit
Who to Target
Ideal customer profiles and buying signals
Primary ICP
B2B SaaS — Sales Operations
100–2,000 employees · $10M–$200M ARR · 5–30 RFPs/month · Has dedicated sales ops or proposal function · Selling to enterprise or government
Primary ICP
Professional Services Firm
Consulting, IT services, staffing · 50–500 employees · RFPs are primary pipeline source · Currently using Word/Google Docs · Proposal coordinator or writer on staff
Strong Fit
Government Technology Vendor
Selling to federal/state/local gov · RFPs are mandatory to compete · Heavy security/compliance requirements · Long sales cycles, high deal values
Strong Fit
Healthcare / Fintech SaaS
Highly regulated · Security questionnaires are constant · Compliance sections in every RFP · Losing deals on response quality/speed
Secondary ICP
Marketing / PR Agency
Pitching new business · RFPs / pitch decks weekly · Small team, big content needs · Currently copy-pasting from old pitches
Poor Fit
B2C / Retail / Non-RFP Sales
Companies that don't respond to formal RFPs · Self-serve products · Under $5M ARR · No proposal or sales ops function
Buying Signals — Prioritize These Prospects
  • Hiring a proposal writer or bid manager — they feel the pain, have budget intent
  • Currently using Loopio or Responsive — already invested in the category, open to better
  • Recent funding round — scaling sales motion, need to handle more RFPs
  • Enterprise customer push — moving upmarket means more RFPs, faster
  • New VP of Sales or Sales Ops hire — new leader, new tools budget
  • Posted a "Request for Proposal" recently — they receive them too, understand the process
Case Studies
Real customer wins to use in outreach and demos
Case Study 1 — B2B SaaS, 200 Employees
Situation: A 200-person B2B SaaS company was responding to 15–20 enterprise RFPs per month. Each response tied up 2–3 senior sales engineers for 25–35 hours. Win rate was stuck at 38%. Problem: Response quality was inconsistent — different SEs wrote different things. Content went stale. They were declining RFPs because they didn't have bandwidth. Solution: Implemented Paavya in 48 hours. Uploaded 3 years of past proposals, product documentation, and security questionnaires. AI generated first drafts; SEs reviewed and refined. Results (90 days): • Response time: 30 hrs → 3 hrs per RFP • Win rate: 38% → 64% • RFP volume handled: 18/month → 31/month (same team) • Hours saved: 450 hours/month • Pipeline contribution: +$2.1M in new opportunities pursued
Case Study 2 — IT Services Firm, 85 Employees
Situation: A regional IT managed services firm relied entirely on RFPs for new business. One proposal coordinator was handling everything — burning out and creating a bottleneck. Problem: Coordinator was spending 40+ hours per week on proposals alone. Quality was dropping. Leadership was considering a second hire ($90k/year). Solution: Deployed Paavya. Loaded their standard service descriptions, case studies, and past-winning proposals. Coordinator now reviews and submits AI-generated drafts. Results (60 days): • Coordinator time on proposals: 40 hrs/week → 12 hrs/week • Proposals submitted per month: 8 → 19 • Hire avoided: $90k/year in headcount • Win rate improvement: 41% → 58% • Paavya ROI: 22× in year 1
Case Study 3 — Fintech Startup, 45 Employees
Situation: A Series B fintech company was losing enterprise deals because their security questionnaire responses took 2–3 weeks and were inconsistent. Problem: Each security review required the CTO and two engineers to drop everything. Prospects were moving forward with competitors who responded faster. Solution: Loaded Paavya with their security documentation, SOC 2 report, pen test results, and standard security questionnaire responses. Now any team member can generate a complete security questionnaire in under 2 hours. Results: • Security questionnaire time: 3 weeks → 2 hours • Deals lost to "slow response": dropped from 4/quarter to 0 • Engineering time reclaimed: 8–10 hours per security review • One enterprise deal closed 3 weeks earlier = $180k ARR saved
How to use these: Customize the industry and numbers to match the prospect you're talking to. Use the situation/problem framing in cold outreach ("We worked with a company just like yours..."). Use full metrics in demo follow-ups and proposals.
Pricing Playbook
How to present, defend, and close on price
Starter
$299
/month · 3 seats
Small teams running up to 15 proposals per month.
  • 3 team members
  • 15 active proposals/month
  • 50 past proposals imported (AI training)
  • 5 GB document storage
  • AI response drafting + voice matching
  • 1 AI revision round per proposal
  • Basic trust score per answer
  • Word & PDF export
  • Proposal status tracking
Team
$999
/month · unlimited seats
Firms with a dedicated BD or proposal function.
  • Unlimited team members
  • Unlimited proposals + storage
  • Unlimited past proposals imported
  • 1-year version history
  • Unlimited AI revision rounds
  • Approval workflows
  • Custom user roles & permissions
  • REST API access
  • Everything in Growth
All plans billed monthly · Annual plans save 20% · 7-day free trial (card required) · Cancel any time
How to Present Pricing
  • Always anchor to ROI first. Before revealing price, run the math: (RFPs/month × hours/RFP × hourly rate × 90% savings). If the ROI is 10–30×, price becomes a small number.
  • Lead with Growth plan. It's the sweet spot and where most customers land. Starting there sets the right anchor — Starter feels like a discount, Team feels like a clear upgrade.
  • Annual vs monthly: Annual saves 20% — that's ~2.4 months free. Frame it that way. Ask: "Are you thinking about this as a long-term solution or a short-term trial?"
  • Don't discount on the first ask. Offer a free pilot or extended trial instead — that removes risk without reducing perceived value. Reserve discounts for end-of-quarter or multi-year deals.
ROI Script: "Let's run quick math. If you do [X] RFPs/month at [Y] hours each, that's [X×Y] hours. At even $75/hr loaded cost, that's $[X×Y×75]/month in labor. Paavya cuts that 90%. So the savings are $[X×Y×75×0.9]/month. We're $599/month on Growth. That's a [calculate multiple]× ROI — in month one."
Discount & Negotiation Guidelines
  • Up to 15% discount for annual commitment — offer proactively at proposal stage
  • Up to 20% discount for 2-year commitment — mention for enterprise deals
  • Extended trial (30 days) — use instead of price discounts to remove risk objections
  • Free knowledge base setup — offer white-glove onboarding as a value-add for deals over $1k/month
  • Never go below 25% off without Trey's approval — protects price integrity
Prospect Research
How to research a target before outreach
Step 1 — Company Intelligence
Find on LinkedIn + company website:
• Employee count (filter: 50–2,000 for best fit)
• Industry (SaaS, IT services, professional services, fintech, healthtech, govtech)
• Funding stage (Series A+ = budget, growth mode)
• Recent news: funding, new enterprise customers, gov contracts won
• Do they sell to enterprise / government? (= RFP buyers)
Step 2 — Identify the Right Contact
LinkedIn search inside the company for:
• "Proposal Manager" or "Bid Manager"
• "Sales Operations" or "Revenue Operations"
• "Sales Engineer" (often writes RFPs)
• VP of Sales / CRO (economic buyer for tools)
• Head of Business Development

Best entry point: Proposal Manager or Head of Sales Ops — they feel the pain directly and often have influence over tooling decisions.
Step 3 — Verify RFP Activity
Google: "[Company name] RFP" or "[Company name] request for proposal" — see if they've responded to or issued public RFPs.

Job boards: Search "[Company] proposal writer" or "[Company] RFP" — a job posting = confirmed pain and budget intent.

LinkedIn: Check if they list RFP-related skills or past experience on their profiles.
Step 4 — Find Personalization Hooks
Look for:
• Recent blog posts or LinkedIn posts about sales process, proposals, or growth
• Shared connections (warm intro opportunity)
• Company milestones: funding, new office, new product launch
• Mutual customers or similar customer case studies
• Pain they've publicly expressed (event talks, interviews, podcasts)
Step 5 — Find Contact Info
Tools:
Apollo.io — search by company + title, get verified emails
LinkedIn Sales Navigator — advanced filters + InMail
Hunter.io — find email pattern from domain
Clearbit / ZoomInfo — enrichment if you have access
• Pattern guessing: if you know john.smith@company.com works, try [first].[last]@
10-minute prospect research sprint: LinkedIn → find company + contact (3 min) → Google "[Company] RFP" (1 min) → check job postings (2 min) → Apollo.io for email (2 min) → write one personalized hook (2 min). That's enough to make outreach feel personal without over-investing per contact.
One-Pager
Send after discovery or demo — print or share as PDF
AI-Powered RFP Response Automation
paavya.com · hello@paavya.com

Win More RFPs. Spend 90% Less Time Writing Them.

Paavya is an AI platform that transforms your RFP response process — from 40 hours of manual work per bid to a 4-hour, AI-assisted workflow that produces higher-quality responses and wins more deals.

The Problem We Solve

  • 40+ hours per RFP response ties up your best people
  • Inconsistent quality across team members and submissions
  • Stale content that doesn't reflect your latest wins
  • Bandwidth limits force you to decline RFP opportunities
  • 42% industry win rate — most teams leave money on the table

How Paavya Fixes It

  • AI response engine drafts complete RFP answers in minutes
  • Living knowledge base trained on your content and voice
  • Team collaboration with review, approvals, and version control
  • Analytics dashboard tracks win rates and time savings
  • 48-hour onboarding — live before your next RFP deadline
90%Time Saved Per RFP
68%Customer Win Rate
10×Avg Year-1 ROI
Ready to see it with your own RFPs? Book a demo → paavya.com
Downloads
Sales resources, templates, and collateral
📄
Paavya One-Pager (PDF)
Send after first call or demo · Print-ready
📊
ROI Calculator Template
Excel/Google Sheets · Customize for each prospect
🔒
Security Questionnaire Response
Standard answers for security / compliance reviews
📋
Competitive Battle Cards
Loopio · Responsive · AutoRFP.ai · Printable
🎯
Discovery Call Script
Full script with branching logic for common responses
New resources are added regularly. Use the AI Sales Coach (bottom right) to generate custom versions of any template on the fly.
Demo Accounts
Use these during live demos — each is pre-loaded with realistic data
Before every demo: Log in and verify the account state. Reset to baseline if needed. Never use your personal account for demos — always use one of these.
Starter Plan Demos
Acme Corp
Starter
Pre-loaded: IT services RFP responses · 12 documents
Email demo-acme@paavya.com
Pass PaavyaDemo2026!
Brightfield Solutions
Starter
Pre-loaded: Professional services · 8 documents · Blank slate for live uploads
Email demo-bright@paavya.com
Pass PaavyaDemo2026!
Growth Plan Demos
Nexus Software
Growth
Pre-loaded: SaaS · 35 documents · Team of 8 · Full analytics data
Email demo-nexus@paavya.com
Pass PaavyaDemo2026!
Enterprise / Team Plan Demos
Meridian Enterprise
Team
Pre-loaded: Enterprise SaaS · 80+ documents · Multi-team · Gov compliance data
Email demo-meridian@paavya.com
Pass PaavyaDemo2026!
Demo tip: For the most impactful demo, use Nexus Software (Growth). It has the most data loaded, realistic analytics, and team collaboration already set up. Looks like a real company's workspace.