You can't forecast
what you can't see
Your revenue data is fragmented across calls, CRM fields, and sticky notes. Reps aren't logging deals accurately. Your forecasts get revised in QBRs because the data wasn't there in the first place. Rafiki AI automatically captures conversation signals so your forecast is built on the ground truth of what's actually happening in deals.
Forecasts Built on Conversations, Not Guesses
Every deal signal is extracted from real conversations — giving you pipeline data you can actually trust for forecasting and board reporting.
The data problems holding your revenue engine back
RevOps teams spend more time chasing data than using it. These problems are all too familiar.
Dirty CRM data
Reps log what they remember, not what happened. Your CRM is full of gaps, stale records, and missing context — making every report unreliable.
Manual data entry compliance
No matter how many times you ask, reps won't update the CRM consistently. You've tried mandates, reminders, and incentives. Nothing sticks.
Disconnected revenue signals
Conversation data, pipeline data, and activity data live in different systems. Connecting them requires manual work that never scales.
Clean data. Connected signals. Complete visibility.
Rafiki AI automates the data capture that RevOps has been trying to solve with process alone.
Auto CRM sync from every call
Every meeting automatically captured, transcribed, and synced to the right CRM record. Call notes, action items, and deal updates — without reps lifting a finger.
Conversation-to-pipeline mapping
See how conversation signals map to pipeline movement. Understand which topics, objections, and buyer behaviors predict deal outcomes across your entire funnel.
One-click Gen AI Reports
Pipeline reviews, win/loss analysis, rep performance, competitive intel, forecast reports — all generated in one click from real conversation data. No more hours spent compiling spreadsheets for weekly reviews or board decks.
Reports that used to take hours, generated in one click
Rafiki AI's Gen AI Reports turn weeks of manual data gathering into instant, AI-generated insights — straight from your team's actual conversations.
Before Rafiki AI
- ✗ Pipeline review deck — 4+ hours pulling data from CRM, spreadsheets, call recordings
- ✗ Win/loss analysis — 2 days of listening to recordings and interviewing reps
- ✗ Rep performance report — Manual scoring of sampled calls, incomplete data
- ✗ Competitive intel brief — Ad-hoc Slack questions, anecdotal feedback
- ✗ Board-ready forecast — 1+ week compiling data across tools, still unreliable
With Rafiki AI Gen AI Reports
- ✓ Pipeline review — One click. AI analyzes all active deals from actual conversations, not CRM guesses
- ✓ Win/loss analysis — Auto-generated from every deal's conversation history. Real reasons, not rep memory
- ✓ Rep performance — Every call scored against your criteria. Full team benchmarks, instant leaderboards
- ✓ Competitive intel — AI tracks every competitor mention across all calls. Trends, objections, and positioning — auto-compiled
- ✓ Board forecast — AI-generated from conversation signals + CRM data. Updated in real time, always current
What RevOps teams achieve with Rafiki AI
Real outcomes from teams that stopped chasing data.
RevOps teams that switched never look back
"Rafiki AI offers the most value for the money. Call recording and transcription work every time. It integrates seamlessly with our HubSpot CRM, automating call notes into the right fields. Our CRM data has never been this clean."
“This tool is going to disrupt the industry. Best support I’ve ever received from any vendor. The team works closely to ensure Rafiki AI captures all our business needs.”
“We were previous Gong users that didn’t drive the value for what we paid. After switching to Rafiki AI, the AI summarization has been huge. The follow-up emails save me at least an hour a day.”
Ready to build a revenue engine that runs on clean data?
Start for free — no credit card, no seat minimums, no long contracts. Just the data accuracy you've been chasing.


