RevOps built the stack.

The stack broke RevOps.

Despite a decade of investment in tools, headcount, and process, most RevOps teams are failing to move the number. Not for lack of trying. The stack they built to help became the thing holding them back.

How Did We Get Here?

More data. Less truth.

More data. Less truth.

For lead development

For conversational insights

For customer retention
CRM

Productivity

It started with the CRM. Built for tracking, not execution.

So companies added tools to fill the execution gap.

But that wasn’t enough.

Wired together, stack grew, the signal got worse.

$500/user/month.

For a system nobody trusts.

The Breakdown

Two structural failures

Both getting worse.

THE TOOL TRAP

The stack became the problem.

RevOps spent a decade assembling complex, bloated stacks with the best intentions. The result was the opposite. Humans resist change. Adoption stayed low. More tools counterintuitively lowered frontline productivity. The system built to support the revenue team became something they had to work around.

THE VISIBILITY CRISIS

Data everywhere. Truth nowhere.

With data scattered across dozens of apps, RevOps suffers from massive operational blind spots. Without a single source of truth, teams cannot accurately diagnose why revenue is leaking. Leadership asks for answers. RevOps can only show them dashboards.

I had to walk into a board meeting and explain why we'd spent $2M on a revenue stack that couldn't tell me why we were missing quota.
— CRO, Mid-Market SaaS

Where Oliv comes into the picture

A simpler path to revenue execution.

Step 1

CONSOLIDATE
Save money first.

Replace your fragmented toolset with a single, simpler platform. One system doing the job of five. The savings are immediate and defensible to leadership from day one.

UNLOCK VISIBILITY
Reinvest in context.

Redirect those savings toward building the context layer your revenue team actually needs. Out-of-the-box agents start delivering results within days of onboarding. No long implementation. No consultants.

Step 2

Step 3

CREATE LEVERAGE WITH AGENTS
Deploy agents on your motion.

As the system learns how your business operates, you build and deploy agents tailored to your exact revenue motion. The longer it runs, the sharper it gets.

The Architecture

Revenue AI agents only work if three things are true.

Most stacks can't provide any of them.

1. Accurate object association
   Modern CRM data is messy. Duplicate accounts, broken hierarchies, and contacts linked to the wrong opportunities. Agents working on dirty data act with full confidence in what they believe to be true, updating the wrong contact, routing to the wrong owner, and flagging the wrong deal. Each mistake compounds.

2. Full context
   Raw data is unstructured and disconnected. An agent that retrieves a few chunks cannot reason over a complex account. It needs a structured, queryable context built from the complete history of every interaction.

3. A living knowledge of how your business operates.
   An agent can have clean data and full context and still act like a new hire on day one, technically capable, contextually blind. It doesn’t know your ICP, your qualification rules, when a deal goes to legal, or what triggers a discount. These things live in your team’s heads. Process Graph puts them somewhere agents can actually use.

Context capture

Context graph makes it possible

Complete Context Capture

Everything starts with data you can actually trust. Learn how Oliv captures complete context from every signal across your revenue motion.

Virtual Meetings Zoom · Teams · Meet
Mobile Calls iOS · Android
Email Gmail · Outlook
In-person App · Plaud NotePin
Channels Slack · Teams · Telegram
Warehouses Snowflake · Databricks · Redshift · BigQuery

Object Graph

With complete data, the next problem is structure. See how Object Graph maps every entity in your CRM accurately, no duplicates, no gaps.

See Object Graph

Process Graph

Structure without a process is still incomplete. See how Process Graph encodes your actual revenue motion so agents know how your business works.

See Process Graph

Intent Graph

Replaces generic LLMs with 100+ revenue-specific Small Language Models. It reasons over full customer histories instead of data fragments, delivering precise, tailored insights.

See Intent Graph

Agents

With the foundation in place, agents can execute. Meet the agents built to run your revenue motion end to end.

Meet the Agents