Every missed opportunity had data. Just not context.

ZoomInfo to enrich it. Salesloft to run it. Gong to record it. Gainsight to retain it.

And a RevOps team spending more time maintaining the system than improving the business.

Connected revenue tools and outcomes

The Counterintuitive Truth

More data.
Less understanding.

That is not a coincidence.

Every new tool came with its own version of the truth. Sales is looking at Salesforce. CS is looking at Gainsight. Finance is looking at Clari. Three teams, three dashboards, three different conclusions drawn from the same pipeline.

You can tell leadership what happened. You cannot tell them why.

Fragmented dashboards and disconnected metrics

The Naive AI Approach

Adding AI to a broken foundation just automates confusion

Current AI tools do same thing faster. They summarise meeting. They update basic field and suggest next steps.

Product Capabilities
Marketing resources
Individual Contributor

Meeting with Jim

Meeting icon

Enterprise AE

Jim avatar
Decision maker

Meeting with Michael

Meeting icon

Director of Sales

Michael avatar
Naive AI center flow

Does not capture Decision Maker's pain points and goals.

Does not recognize product capabilities

Misses a key feature discussed by Michael.

The result

A system that captures the conversation and loses everything that made it matter. Who said it. What their goal was. Whether your product can actually solve it.

Context Graphs: The new way

What if the system understood your
revenue
motion the way you do?

A context graph captures the whole story. Not just what happened at every customer touchpoint, but the reasoning that connects them. Why the deal moved forward, which stakeholder actually drove the decision, what that expansion signal buried in QBR means for the account today.

Context Graph =
Knowledge Graph + Object Graph + Decision Graph

Context Graph diagram showing Decision Graph, Knowledge Graph, Object Graph, and AI Lakehouse

The result

Every interaction, every signal, woven together into something your agents can reason over rather than just retrieve from.

From rigid tools to tailored agents

Oliv is built on an AI Context Graph: a live, unified intelligence layer across the entire revenue lifecycle. Agents reason over it. Your team acts on it.

From rigid tools to tailored agents — AI agents built on Context Graph

The best revenue teams are not buying more tools. They are deploying agents that do the work.

See how Oliv works