Context to Revenue: Bridging AI Insights and Revenue Decisions
2025: Everyone invested in AI. 2026: Where's the ROI?
AI is embedded in the sales cycle. Recommendations are being generated. Workflows are being automated. But the revenue impact isn't always following.
The problem isn't necessarily the technology. It may be what the technology doesn't know.
A WhatsApp conversation that changes the direction of a deal. A champion who's quietly losing influence. A failed implementation that explains why an account is stalling.
Your CRM may show a healthy opportunity. Your AI may recommend the next best action. But neither necessarily has the full picture.
The question is no longer just what AI can do. It's whether AI has the context to make the right decisions.
And when it doesn't, who is responsible for closing the gap?
We're bringing together revenue leaders to challenge assumptions, compare approaches, and explore what it actually takes to turn AI investments into revenue outcomes.
What to Expect
We'll open with a sharp, 20-minute conversation featuring four leaders approaching the context gap from different perspectives: commercial operations, RevOps, data science, and AI-native CRM architecture.
Then we'll break into four moderated roundtables for 60 minutes of peer-to-peer discussion.
Each table will close with one actionable insight to share with the room.
Choose Your Roundtable
1. From Context to Pipeline: What’s Actually Working?
Your CRM captures the pipeline, but the full story of a deal lives across meetings, conversations, and disconnected tools.
Some teams are building their own AI-powered workflows. Others are investing in dedicated platforms.
What's actually working? What creates more complexity than it solves? And when does building your own stop making sense?
2. When AI Optimizes for the Wrong Question
AI can produce technically accurate answers and still drive the wrong commercial decisions.
Is the problem the data, the missing context, or what we asked the model to optimize for?
How do teams recognize when AI is solving the wrong problem? And who gets to decide when to override it?
3. Who Owns the Context Gap?
When critical deal information falls between systems and teams, who is responsible for closing the gap?
Is it Sales, RevOps, or the technology itself?
How are teams establishing ownership, improving context quality, and deciding which decisions should remain human-led?
4. Is the CRM Becoming the Bottleneck?
We spent years building CRMs around human data entry. Are we now forcing AI to work inside systems that were never designed for it?
Can traditional CRMs evolve to support AI-native revenue workflows, or is it time to rethink the underlying architecture?What would justify replacing systems we've already invested in?
5.Five AI Tools, Zero Shared Context
Revenue teams rely on multiple AI tools for outbound, sales calls, forecasting, and CRM, yet critical customer context often lives elsewhere- in WhatsApp, Slack, and conversations that never make it into the system.
In this roundtable, we'll explore what AI is missing, why connecting these sources remains challenging, and how organizations can balance shared visibility with sales rep autonomy and trust.
The Agenda
18:00 | Doors open, food & drinks
18:30 | Opening conversation: Four perspectives on the context gap
18:50 | Executive roundtables: 60 minutes of peer-to-peer discussion
19:50 | Key takeaways: One insight from each table
20:00–20:30 | Networking
Meet the Speakers
Yoni Benshaul - Co-founder & CEO, DreamHub
Idan Michaeli - VP Data Science, DreamHub
Elina Papernaya - Head of GTM, Alta
Asaf Nadler - Co-founder & COO, Addressable
Idit Bar-Netz - Director of RevOps, DataRails
Who Should Attend?
An invite-only gathering for RevOp leaders and executive management implementing AI across their revenue organizations
Please select your preferred roundtable when registering. Seats at each table are limited. Registration is subject to approval.
Hosted in partnership with Dreamhub and Alta
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.
Alta is the AI GTM System of Actions - one AI system for your entire go-to-market. Instead of stitching together 10+ tools across prospecting, outreach, calling, lead qualification, ad targeting, and pipeline analytics, GTM teams use Alta's self-optimizing AI agents to execute the full top-of-funnel - from first signal to booked meeting - getting smarter with every interaction.