AI in GTM & RevOps
How AI is reshaping go-to-market and RevOps. This pillar covers the economic, operational, and organizational impact of AI, helping leaders understand where it creates leverage, where it breaks assumptions, and what changes next.
- —Where AI creates real leverage across GTM and RevOps
- —How AI changes decision-making, not just productivity
- —Economic, operational, and organizational impacts of AI
- —New constraints AI introduces (costs, data quality, reliability)
- —What GTM leaders should rethink as intelligence becomes embedded in systems
Vasco's context graph is now available on Google Cloud Marketplace
Customers can now buy Vasco through a channel they already use, applying existing Google Cloud commitments instead of finding a new budget.
Revenue data provenance: A forecast accuracy guide for CROs
Enterprise AI leaders are already calling data provenance the trust layer for agentic AI. Here's what revenue data provenance means for CROs, and how to build it into forecast accuracy before agents start acting on your pipeline.
Why using GitHub as a context repo makes your AI agents less accurate
GitHub is great for documentation, but static docs can't keep pace with a live revenue motion. Here's why it isn't enough for production AI agents.
Call transcripts for AI agents: How to turn sales conversations into accurate GTM intelligence
Every answer your revenue team needs is already in your call recordings. Here's how to actually use it.
Inside the first wave of GTM-built AI agents
After 10 weeks and 180 AI agents built across 37 organizations, the teams getting the most reliable outputs weren't running better models. They were giving their agents better context to reason from.
RevOps + Claude Cowork: What is the AI context gap?
Context graphs built for RevOps are what make Claude outputs trustworthy. Without context, the data can be clean or dirty, complete or missing, reconciled or contradictory, and Claude will reason on it either way.
20 AI revenue agent use cases every GTM team should be running
Over the past year we mapped the revenue problems GTM teams bring to AI agents most often: pipeline gaps that hide until two weeks before quarter end, forecasts built on CRM stages nobody updated, churn signals buried in transcripts nobody re-reads. This is the complete reference for all 20 use cases: what each agent analyzes, which metric it actually moves, and what lands in your inbox when it runs.
Context graphs for GTM teams
A context graph is a structured way to represent GTM data that preserves entities, relationships, and the context in which revenue decisions were made. Instead of reporting outcomes in isolation, it links performance to the sequence of events, signals, ownership changes, and conditions that produced them.
How to build revenue agents with Claude x Vasco
The gap between a Claude prototype and a production revenue agent is smaller than you think. This guide closes that gap with the exact MCP connection, a 5-component prompt structure you can copy today, and 20 reasoning agents built to compound. For builders who are done experimenting and ready to ship.
CRO’s 2026 guide to agentic AI
The AI context gap is the defining challenge for every RevOps team building on agents right now. This guide explains what it is, why it exists in most stacks, and how a revenue context graph closes it. By the end, you'll know exactly where your stack stands and what to do next.
The economics of AI
AI is often framed as a product shift. In reality, it is an economic one. This article builds on insights from the Vasco Trends Report, notably conversations with Michael Litt (CEO, Vidyard) and Guillaume Jacquet (CEO, Vasco).
2026 RevOps Trends & Predictions
We asked fifteen of the smartest operators, founders, and advisors we know for their perspective on the year ahead. And their insights genuinely floored us.
AI in sales
AI tools are reshaping the daily lives of sales reps and GTM leaders, but not without their challenges. In the video below, Justin from Vasco and Jacob from Attention shared their firsthand experiences on how AI is transforming workflows, where it falls short, and what the future might hold.
Time to AI
The pressure to implement AI in GTM is real. Budgets are shifting. Competitors are experimenting. And yet, most people still feel overwhelmed.
How growth loops turn users into your best sellers
Vasco just came back from the Impact Summit in San Francisco, hosted by Winning by Design. As a certified WbD partner, we had front-row seats to an insight-packed event on how AI is reshaping go-to-market strategies. We asked Dave Boyce, EVP Product at Winning by Design, to share a small slice of thinking that’s bound to impact RevOps teams in the months ahead. Here it is!
See it work on your revenue data
Clean data, accurate forecasts, and a unified GTM team without extra headcount, dashboards, or delays.