Oliv for Revenue Operations

Your revenue process, on autopilot with AI agents.

Oliv agents keep your CRM current, your forecast honest, and your process running the way you designed it.
You stop chasing execution and start designing it.

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The challenge

You built the process. Your team never followed it.

You built the workflow. You enforced the methodology. But teams are unreliable, so half the CRM fields sit empty, the next step gets skipped, and every downstream number inherits the gap.

65%

of CRM data is inaccurate.
Adding Claude on top makes it worse.

Commit $2.4M, actual $1.7M.Forecast can’t be trusted.

Plans on guesswork: Territory, capacity, comp all built on incomplete data

Every leadership question starts another data chaseRep, manager, CRO all show different truths

Are we on track for $2.4M?

RevOps Manager02:23 PM

We might close ~$1.5M, I missed updating the notes for last two meetings in CRM

VP, Sales03:12 PM

65%

of CRM data is inaccurate.
Adding Claude on top makes it worse.

Commit $2.4M, actual $1.7M.Forecast can’t be trusted.

Plans on guesswork: Territory, capacity, comp all built on incomplete data

Every leadership question starts another data chaseRep, manager, CRO all show different truths

Are we on track for $2.4M?

RevOps Manager02:23 PM

We might close ~$1.5M, I missed updating the notes for last two meetings in CRM

VP, Sales03:12 PM

Solution

First we build your context graph

Full story of every Opportunity, connected in one Graph. All your scattered signals, captured and connected around the right account and opportunity as a story. One place your team and your agents can trust.

Works with

Context graph connecting John, Maya and Mary to the North Star opportunity — functional requirements, eco buyer, operational buyer, trials, competitors and calls linked around one account

Works with

Your life with agents

Meet the agents that do RevOps work with you

Oliver mines your process.

Oliver, your AI GTM Engineer, learns your process from onboarding materials, leadership conversations, and won and lost deals. He turns that context into the up to date playbook that agents use.

Network of Oliv agents around Olivia — Forecaster, Analyst, Deal Driver, CRM Manager, Pipeline Tracker and more, linked by live connections

CRM Manager keeps your CRM updated.

CRM Manager is an always-on agent that lives in your revenue org and keeps every record current. It turns calls, emails, and meetings into updates on the right accounts, contacts, and opportunities.

You can review suggested changes before they sync, or use auto mode once your team is ready.

Auto mapped to the right object

Automatically maps every touch to the right account or opportunity

Always Shows Proof

Whenever CRM manager suggests an update it tags the source, you can make sure it is trustworthy.

CRM Fields Corrected

1,284

67% at start

LIVE

Forecaster agent builds your forecast.

Forecaster automates forecasting and analyses every deal in your pipeline to deliver the most accurate, bias-free forecast.
It pressure tests every forecast category and explains what changed, flags risky commits, and gives managers a focused review before they submit.

Pressure-tests every forecast category

Checks the forecast every day, flags risky commits, surfaces sandbagged upsides and removes dead dealsgged upsides and removes dead deals

Pipeline Coverage

1.2x

On Track

Forecast Accuracy

91%

6% vs last month

Builds the agents you need.

Different teams need different AI agents. With Oliver, you can build custom AI agents for specific jobs: an AE Multithreader, a CS Renewal Watchdog, or a BDR Enrichment agent.

You pick the event trigger and Oliver does the rest. Every run can executes across Gmail, Slack, and CRM, product usage data, support tickets, etc giving your team custom AI agents that act with full audit control.

Oliver mines your process.

Oliver, your AI GTM Engineer, learns your process from onboarding materials, leadership conversations, and won and lost deals. He turns that context into the up to date playbook that agents use.

A dedicated GTM engineering team, from Week 1 to production.

WEEK 1

Understand your process.

We map your workflow, your CRM setup, where deals slip, and where reps skip. You get the one bottleneck to attack first.

Week 2

Build your Context Graph.

We wire every source your team already uses into one graph, CRM, calls, email, tickets, product usage. Every agent and every rep works from the same Context Graph.

Week 3

Put the first agents to work.

All agents deployed into your account, tuned against your real data. You watch them work on live pipeline before anything hits production.

Week 4

Refine the process together.

Our GTM engineering team stays with you, reviewing agent output, tuning the playbook, and adding custom agents as your territory, comp, or ICP shifts.

Week 1