Your Revenue Org, Powered by Autonomous Agents
Proactive AI agents that work with your team to prospect, close, retain, and expand your revenue.
Deal Driver
Three deals look likely to slip this week. I flagged the two where you should step in today and nudged the reps whose next steps went overdue.
Trusted by 100+ Organisations
Leaders want
AI-native growth.
But teams are stuck at Level 2 AI adoption.
Where is your team today?
ChatGPT for all
Team-wide ChatGPT licenses. Used mostly for copy-paste.
Claude + DIY Builders
MOST COMMONA few people run Claude and build their own skills. Data connectors are open.
Centralized skills, first agents
Engineering team leveraged for building a couple of agents.
Autonomous agents in production
GoalAgents run in the background. GTM engineers monitor and optimize.
Agents for the
entire
revenue lifecycle
Where do you want to start? Pick a stage of your funnel.
Marketing
Signal Scout
Spots accounts showing buying intent and starts the right play.
Quick Qualifier
Routes high-intent leads to the right seller to speed up handoffs.
Attributer
Traces every opportunity back to the campaigns, signals and touches that created it.
Sales Development
Researcher
Researches accounts and buyers, checks ICP fit, and builds a point of view before the first call.
Prospector
Builds and runs tailored outbound campaigns that turn target accounts into pipeline.
Rapid Responder
Calls every new inbound lead within minutes, qualifies them and books the meeting while they’re still interested.
What keeps teams
at Level 2
Three gaps stop AI agents from running in production. Oliv closes each one.
Context is scattered across apps
Meetings in Gong, usage in Pendo, tickets in Zendesk. Every tool holds one piece, so your team and your AI both work from half the picture.
Context is scattered across apps
Meetings in Gong, usage in Pendo, tickets in Zendesk. Every tool holds one piece, so your team and your AI both work from half the picture.
What’s holding you back?
Revenue teams give four reasons for waiting on agents. Here’s how Oliv answers each one.
“We don’t have budget for these agents”
Fund it from the stack you already pay for
Years of single-point SaaS tools, each with its own bill. That’s where your budget is locked. Oliv gives you AI-native versions of the apps your revenue team runs on, at 70% less. That saving funds your agents.
Compare price for a team of 10 BDR, 10 AE, 10 CSM and 20 others with CI
142,200
28,920
$133$1986%
$80$2964%
$110$2974%
$150$2980%
$150$5960%How is Oliv so reasonable?
Legacy tools spent a decade and $100M+ building these apps. AI lets us build them for a fraction, and we pass the saving on.