Do you know? 📉 Which accounts have decreasing engagement across all communications and need immediate attention today? ⛔ Which stakeholders haven't responded in over 14 days? ⁉️ Where are the mismatches between deal stages and actual conversation topics? ❌ Which opportunities have unaddressed objections hiding in email threads? 🫅 Which deals are missing key decision-maker involvement? ⌛ Which deals are silently slipping away? 🎓 Which accounts are discussing contractual terms without involving legal? 📞 Where are reps missing follow-up commitments made in meetings? ❗ Where are deals stalling despite high activity levels? Something we are helping our customers get answers to at scale.
I have worked closely with over 100+ revenue teams in the last 5 years. And found something interesting during these conversations. While we talked a lot about activity metrics, we did not talk enough about customer intelligence. Most revenue teams, I talk to already have incredible customer data—thousands of emails, countless calls, detailed meeting notes, and massive CRM records. Their challenge isn't collecting more data; it's deciding how to use it: 📉 Which accounts have decreasing engagement across all communications and need immediate attention today? ⛔ Which stakeholders haven't responded in over 14 days? ⁉️ Where are the mismatches between deal stages and actual conversation topics? ❌ Which opportunities have unaddressed objections hiding in email threads? 🫅 Which deals are missing key decision-maker involvement? ⌛ Which deals are silently slipping away? 🎓 Which accounts are discussing contractual terms without involving legal? 📞 Where are reps missing follow-up commitments made in meetings? ❗ Where are deals stalling despite high activity levels? The scale of this challenge is staggering. When you multiply your pipeline (often hundreds of opportunities) by stakeholders, communication threads, competitive scenarios, and timing considerations, you're looking at thousands of decision points every week. AI Agents are the only real solution to this. Even the most sophisticated CRM implementations only capture what reps manually input—and we all know how that goes. While everyone's talking about AI for content generation, coding, and prosumer use cases, I'm convinced in the enterprise world the intelligence from AI Agents for revenue operations will create even more value. The winners in this new era won't just be those with the most data or the most active reps—but those who can transform overwhelming complexity into clear, prioritized actions that move deals forward. #RevOps #AgenticAI #RevenueOperations #CRM #Sales