People.ai

Katie Stanforth said it better than we could. The old forecasting playbook didn't fail because it was wrong. It failed because the world it was built for doesn't exist anymore. GTM used to be predictable enough that you could look two quarters back and trust the patterns. That's not true today. This clip from her session with Chad O'Connor is worth your time.

Your AI gave you a 73% confidence score on that deal. Cool. How much of the rep's actual activity did it see? If your CRM only reflects what reps remembered to log, that number is math applied to a guess. It looks precise. It isn't. We wrote a guide on this. Not because we want to sell you something. Because this is the question nobody asks in the demo - and the one that determines whether the whole investment works. Guide link in the first comment.

Your team is spending thousands of hours a year on forecasting. Not selling. Not in front of customers. Forecasting. Red Hat ran the numbers. Then they fixed it. Jamie Craig Gainey shares what changed and what it actually took to get there.

Katie Stanforth said it better than most: the fanciest AI won't fix a kickoff that skipped the basics. We see this constantly. Sales teams get new tools. New data. New dashboards. But if no one's agreed on what success looks like (or who owns getting there) none of it lands. AI doesn't fix broken process. It exposes it faster. That's why we built People.ai the way we did. Not to add more noise - to give revenue teams the clarity they actually need to act.

Forrester recently published their Revenue Orchestration Platforms for B2B landscape for Q1 2026. 30 vendors. One goal: figure out who's actually helping revenue teams execute vs. who's just adding to the stack. People.ai is in it. Full report in the comments if you want the breakdown.

We build AI for sales teams. Our CEO, Jason Ambrose, just spent an hour explaining why AI alone won't fix your revenue problem. Worth a listen if you're betting big on it in 2025.

Here's a question worth sitting with:   When a deal goes quiet, how long does it take your team to notice?   A week? Two weeks? When it shows up on the forecast call?   At HumanX on April 7th, we're running a 45-minute session called "AI Agents for Revenue Leaders: Workflows That Work."   We're not going to talk about AI in theory. We're going to walk through how sales teams use AI Agents to check deal health, spot pipeline risks, and take action - before the deal goes cold.   Real examples. Real workflows. Stuff you can actually use.   April 7  | 4:00 PM | Hall D-9 | Moscone Center South   If you're going to be at HumanX, save your seat.

An email like this doesn't happen by accident. It happens when a tool actually works, and a team actually cares. Shoutout to Amber Wilson and the whole CS team for making People.ai worth writing home about ❤️

Instead of just giving you more data, we give you the why behind the data - so you can take the right action on any deal. #WorldStorytellingDay #SalesDetective #GetTheWholeStory #SalesAnswers

6,500 revenue and AI leaders walk into Moscone Center. We'll be the ones at Booth 612 asking: how confident are you actually in your pipeline? If the honest answer is "not very," that's exactly what People.ai fixes. Real data from real customer interactions, automatically captured. No rep updates required. See you at HumanX 2026 (April 6-9, San Francisco).