AI Transformation for your revenue process
Oliver learns what creates pipeline, what wins, and where customers renew or churn. Then it turns those patterns into the rules, workflows, and context your teams and specialist agents run on.
Hi, I’m Oliver!
Chief AI GTM Engineer“I turn your teams’ wins into rules, then orchestrate specialist agents across your revenue lifecycle.”
Is your playbook alive?Is yourplaybook alive?
Documented is not the same as alive. Alive means your rules can learn, update,
and act at the speed of revenue, which requires:
Action
Your playbook only gets checked during a quarterly audit, if that. By the time anyone updates it, revenue has already moved past it.
Update
A new ICP, methodology, or approval threshold still has to be pushed by hand into every tool, workflow, and scorecard.
Context
Wins, plays, and renewal patterns sit inside calls and CRM updates, but never make it back into how the system runs.
Your best GTM Engineeris one chat away
What I can help with?
Good evening, Alicia
I study how your team actually operates and keep the playbook every other agent runs on up to date.
01
One chat with Oliver. Your playbook updates everywhere — no tool wrangling.
02
Oliver watches what's winning in the field and drafts the next process update for your review.
03
When leadership makes a call, Oliver handles the system. You just approve.
What I can help with?
Good evening, Alicia
I study how your team actually operates and keep the playbook every other agent runs on up to date.
01
One chat with Oliver. Your playbook updates everywhere — no tool wrangling.
02
Oliver watches what's winning in the field and drafts the next process update for your review.
03
When leadership makes a call, Oliver handles the system. You just approve.
What I can help with?
Good evening, Devon
I study how your team actually operates and keep the playbook every other agent runs on up to date.
01
Realigns every agent to your updated ICP the moment your market focus shifts.
02
Runs your methodology automatically across every rep interaction, without a training cycle.
03
Flags drift from your defined strategy before it shows up in pipeline quality.
What I can help with?
Good evening, Annie
I study how your team actually operates and keep the playbook every other agent runs on up to date.
01
Enforces your health standards across every account, every single day.
02
Propagates every renewal criteria change across your CS agents immediately.
03
Surfaces retention patterns across your book and drafts policy updates for your review.
The agentic playbook
Today, RevOps is the manual layer between leadership decisions, field insights, and system updates. The future is agentic and with Oliver, it’s already here.
Target Market Market
It defines where Oliv is best positioned to win. Accounts outside this zone can still buy, but they should not consume priority sales, CS, or implementation capacity unless a leader approves the exception.
Winning Zone
| Attribute | Ideal | Good | Rejected |
|---|---|---|---|
| Company size | 200 to 5,000 employees | 50 to 200 employees with mature RevOps | Under 50 employees |
| Revenue Motion | Mid-market, enterprise, or hybrid | High velocity with strong volume | Pure self-serve only |
| CRM | Salesforce or HubSpot actively used | CRM with accessible API | No CRM discipline |
| Stack | CRM plus calls, email, warehouse, engagement tools | CRM plus at least one major signal source | Data trapped in manual notes |
| Pain | Forecast, CRM hygiene, handoff, prospecting, renewal risk | One clear workflow bottleneck | No owned revenue process |
| Buyer | RevOps, CRO, VP Sales, VP CS, CFO | Founder-led with budget | Individual user only |
| AI Readiness | Wants agents inside current workflows | Exploring AI this quarter | AI blocked with no sponsor |
Priority Segments
| Segments | Primary Pain | Best Starting Point |
|---|---|---|
| RevOps-led Mid-Market | CRM is dirty and process changes faster than systems. | Oliver + CRM Manager |
| Sales-led Growth Team | Pipeline coverage is inconsistent. | Prospector + Researcher |
| Forecast-Sensitive Team | Commit is inspected manually and still slips. | Forecaster + Deal Driver |
| CS-Led Account Base | Renewal risk appears too late. | Portfolio Manager + Retention Forecaster |
| Enterprise Workflow | Complex stakeholders, POC, legal, and procurement. | Researcher + MAP Manager + Case Builder |
Disqualification Signals
- No CRM owner
- No current revenue process to improve
- Buyer wants a chatbot instead of workflow execution
- Customer expects Oliv to replace the CRM
- Procurement blocks all useful data access
- Team wants a cheap note taker only
Owner Notes
Oliver should review target market rules quarterly and whenever win or loss patterns change. Prospector should use these rules before ranking accounts or preparing outreach.
Segment-Specific Notes
| Segments | What makes it attractive | What to watch |
|---|---|---|
| Mid-Market Revenue Teams | Enough process complexity for agents to matter, but still fast enough to deploy in weeks. | Buyer may want broad transformation before choosing first workflow. |
| Enterprise Teams | High value workflows, clear need for auditability, strong forecast and handoff pain. | Procurement, security, and technical access can slow deployment. |
| CS Heavy Businesses | Renewal and expansion data lives across calls, tickets, usage, and CRM. | Page and demo language must avoid sales-only framing. |
| RevOps Lead Teams | Strong owner for process, fields, rules, and reporting. | RevOps may be overloaded and need a narrow first launch. |
Trigger Events
| Events | Why it matters | Recommend angle |
|---|---|---|
| New CRO, VP Sales, or RevOps | New leader is likely reviewing operating cadence. | Your process can update faster than your systems. |
| Forecast Miss | Leadership is ready to inspect pipeline quality. | Forecast risk is usually a context and data problem. |
| CRM Cleanup Project | RevOps already feels the data pain. | Clean records automatically from real activity. |
| CS Segmentation Project | Team is trying to cover more accounts without more headcount. | Agents can run the digital motion and escalate exceptions. |
| Tool Consolidation | CFO or RevOps wants fewer vendors. | Keep the stack, remove the manual work between tools. |
Agent Behavior
- Prospector: Rank accounts and reject poor-fit companies before outreach
- Researcher: Tailor account briefs to the segment and trigger
- Deal Assistant: Explain why the account is worth pursuing
- Portfolio Manager: Identify whether a customer belongs in scaled, mid-market, or enterprise CS motion
- Oliver: Propose ICP updates when win/loss or adoption patterns shift
How This Page Gets Used In Practice
This page should be the first stop before any account list is worked. A good target account is not just a company that matches firmographics. It has a process problem Oliv can actually operate inside.
When Prospector receives a new account list, it should make three decisions before suggesting outreach:
- Is the company in the winning zone?
- Which workflow pain is most likely to exist?
- Which persona should be contacted first?
If the answer to the second question is unclear, the account should not be pushed into a high-touch motion yet. It can stay in nurture or light research until a trigger appears.
Working Rule
We would rather work 50 accounts with a real operating reason than 500 accounts that only match company size.
How This Page Gets Used In Practice
Strong Fit
Acme Systems is a 900-person B2B SaaS company using Salesforce, Gong, Outreach, and Snowflake. They recently hired a VP RevOps and are recruiting three Sales Ops roles. The likely wedge is CRM Manager plus Forecaster because the team is scaling process control.
Weak Fit
BrightDesk is a 22-person startup with founder-led selling and no dedicated CRM owner. They may like the idea of agents, but there is not enough operating structure for Oliv to improve yet.
Change Log Guidance
Oliver should propose an update to this page when the same pattern appears in three or more wins, losses, or stalled deployments. Example: if CS-led opportunities start converting faster than sales-led opportunities, the CS segment should move from secondary to priority.
Oliver’s Superpower?GTM native AI-Infrastructure
Every system, signal, and decision feeds one GTM context layer, so Oliver can keep every specialist agent aligned.
Raw activity is mapped into account, deal, people, and process context, so Oliver knows what changed and what needs attention.
Calls, emails, meetings, CRM fields, docs, and product usage — flows into one foundation, enriched and ready to reason over.
Oliver maintains the GTM playbook. Olivia runs the frontline and orchestrates agents.
Agents pre-loaded with context that execute across the revenue lifecycle.
Purpose-built workflows for sales, CS, RevOps, onboarding, enablement, and expansion, built on the same GTM context.
Two paths toAI Transformation
You Run it, alongside Super Agents
Your RevOps team works with Oliver directly. Converse in natural language, no engineering, no long prompts.
Aarav Sharma
FDE GTM Engineer @ Oliv
Former Revenue Operations at Freshworks.
Electrical engineer, trained at IIT Madras.
Anaya Kapoor
FDE GTM Engineer @ Oliv
Former Sales Strategy at Postman.
CS Engineer, trained at NIT Surathkal.
Rohan Mehta
FDE GTM Engineer @ Oliv
Former Sales Operations at Razorpay.
Mechanical engineer, trained at IIT Bombay.
Priya Nair
FDE GTM Engineer @ Oliv
Former CS Operations at Chargebee.
Electronics engineer, trained at BITS Pilani.
Aarav Sharma
FDE GTM Engineer @ Oliv
Former Revenue Operations at Freshworks.
Electrical engineer, trained at IIT Madras.
Anaya Kapoor
FDE GTM Engineer @ Oliv
Former Sales Strategy at Postman.
CS Engineer, trained at NIT Surathkal.
Rohan Mehta
FDE GTM Engineer @ Oliv
Former Sales Operations at Razorpay.
Mechanical engineer, trained at IIT Bombay.
Priya Nair
FDE GTM Engineer @ Oliv
Former CS Operations at Chargebee.
Electronics engineer, trained at BITS Pilani.
Sylvia Jones
GTM Engineer @ Oliv
Former Solutions Engineer for Databricks.
CS Major, graduated from Virginia Tech.
Karthik Reddy
FDE GTM Engineer @ Oliv
Former Deal Desk at Whatfix.
CS Engineer, trained at IIIT Hyderabad.
Meera Kapoor
FDE GTM Engineer @ Oliv
Former Revenue Operations at Darwinbox.
Industrial engineer, trained at IIT Kharagpur.
Patrick Starc
GTM Engineer @ Oliv
Former GTM Systems at HubSpot. Computer science, trained at Carnegie Mellon.
Sylvia Jones
GTM Engineer @ Oliv
Former Solutions Engineer for Databricks.
CS Major, graduated from Virginia Tech.
Karthik Reddy
FDE GTM Engineer @ Oliv
Former Deal Desk at Whatfix.
CS Engineer, trained at IIIT Hyderabad.
Meera Kapoor
FDE GTM Engineer @ Oliv
Former Revenue Operations at Darwinbox.
Industrial engineer, trained at IIT Kharagpur.
Patrick Starc
GTM Engineer @ Oliv
Former GTM Systems at HubSpot. Computer science, trained at Carnegie Mellon.
Rohan Mehta
FDE GTM Engineer @ Oliv
Former Sales Operations at Razorpay.
Mechanical engineer, trained at IIT Bombay.
Priya Nair
FDE GTM Engineer @ Oliv
Former CS Operations at Chargebee.
Electronics engineer, trained at BITS Pilani.
Aarav Sharma
FDE GTM Engineer @ Oliv
Former Revenue Operations at Freshworks.
Electrical engineer, trained at IIT Madras.
Anaya Kapoor
FDE GTM Engineer @ Oliv
Former Sales Strategy at Postman.
CS Engineer, trained at NIT Surathkal.
Rohan Mehta
FDE GTM Engineer @ Oliv
Former Sales Operations at Razorpay.
Mechanical engineer, trained at IIT Bombay.
Priya Nair
FDE GTM Engineer @ Oliv
Former CS Operations at Chargebee.
Electronics engineer, trained at BITS Pilani.
Aarav Sharma
FDE GTM Engineer @ Oliv
Former Revenue Operations at Freshworks.
Electrical engineer, trained at IIT Madras.
Anaya Kapoor
FDE GTM Engineer @ Oliv
Former Sales Strategy at Postman.
CS Engineer, trained at NIT Surathkal.
Meera Kapoor
FDE GTM Engineer @ Oliv
Former Revenue Operations at Darwinbox.
Industrial engineer, trained at IIT Kharagpur.
Patrick Starc
GTM Engineer @ Oliv
Former GTM Systems at HubSpot. Computer science, trained at Carnegie Mellon.
Sylvia Jones
GTM Engineer @ Oliv
Former Solutions Engineer for Databricks.
CS Major, graduated from Virginia Tech.
Karthik Reddy
FDE GTM Engineer @ Oliv
Former Deal Desk at Whatfix.
CS Engineer, trained at IIIT Hyderabad.
Meera Kapoor
FDE GTM Engineer @ Oliv
Former Revenue Operations at Darwinbox.
Industrial engineer, trained at IIT Kharagpur.
Patrick Starc
GTM Engineer @ Oliv
Former GTM Systems at HubSpot. Computer science, trained at Carnegie Mellon.
Sylvia Jones
GTM Engineer @ Oliv
Former Solutions Engineer for Databricks.
CS Major, graduated from Virginia Tech.
Karthik Reddy
FDE GTM Engineer @ Oliv
Former Deal Desk at Whatfix.
CS Engineer, trained at IIIT Hyderabad.
We Run it for you
Oliv's operators keep your playbooks, scorecards, and agent context current. You stay focused on revenue.
Works with 70+ apps
No need to start from scratch. Oliv connects to your CRM, CSP, email, call recording, and Slack, and builds on top of what’s there.
See All Integrations
Up and runningbefore the week ends
Connect your tools
Salesforce, HubSpot, Gong, email, and Slack. Olivia reads what’s already there — messy data included.
Olivia inherits the playbook
Oliver sets the rules — stages, ownership, and handoffs. Olivia operates inside them from day one.
Brief lands before your call
Olivia delivers deal context, risk, and next steps 30 minutes before the next meeting on the calendar. No waiting period.
Get Started
Your revenue org runs on one playbook. Always
Most teams are operational in 2–4 sessions. From there, one conversation keeps your entire agent stack current — as your process, team, and market evolve.
Book a chat with the Founder to see Oliv in action
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