Context to Revenue: Bridging AI Insights and Revenue Decisions
You have AI inside your sales cycle. The recommendations are coming out, but the close rates are not always following...
Most teams assume the model is wrong. The ones who looked closer found something different: the model was working with the right data about the wrong version of the situation.
The champion had sent a message. The customer had a history. A second deal was competing for the same engineer. None of it was in the CRM.
This is not an AI problem. It is a context problem. And it is costing deals that should have closed.
A Live Deal Simulation
This is not another panel about AI strategy. It's a live working session built around one deal.
A $60K opportunity. Ten days to quarter-end. An AI recommendation on screen from the start. Three executives bringing three different perspectives.
Three context reveals unfold, each changing what the right answer looks like. The panelists commit to decisions in real time, challenge each other's assumptions, and defend or revise their positions as new information arrives.
The Executive Discussion
Following the simulation, we'll move beyond the individual deal to explore the bigger challenges of AI-driven revenue decisions.
Our panelists will bring perspectives from Data Science, Sales leadership, and RevOps to debate where AI recommendations fall short, who owns the missing context, and how organizations should rethink forecasting, accountability, and human judgment as AI becomes embedded in the sales cycle.
Expect practical insights, different perspectives, and an honest discussion about what it really takes to turn AI intelligence into revenue outcomes.
What You Will Leave With
A working framework for when to follow an AI recommendation and when to override it.
A clear picture of what context your team generates every day that never reaches your systems.
A concrete answer to who owns the quality of information your AI tools are working with.
One thing you can test the following week with your pipeline and your team.
The Agenda
18:00 | Doors open, food and drinks
18:30 | Live deal simulation: Three context reveals
18:50 | Executive discussion: From AI insights to revenue decisions
19:15 | Audience Q&A, followed by networking until 20:30
The Panelists
Idan Michaeli - VP Data Science at DreamHub
Asaf Nadler - Co-founder & COO at Addressable
Idit Bar-Netz - Director of RevOps at DataRails
Who Should Attend
VP Sales, CROs, RevOps leaders, and GTM operations leaders at B2B SaaS companies who are already running AI inside their sales cycle.
Every registration is reviewed by title and company. 50 seats total.
In Partnership with DreamHub
DreamHub is an AI-native CRM built for B2B SaaS. It keeps your data clean and up-to-date by automating data entry and self-executing workflows for you. Powered by B2B-specific AI models trained on your data-and data from companies like yours-Dreamhub delivers deep, relevant, and actionable insights