Funding stage is a rough guide — what actually determines the right starting point is how much revenue operations foundation already exists inside your company.
Every engagement draws from the same six-part scope — front-end GTM engine, back-end foundation underneath it. Which parts you need depends on the tier.
Building or refining the actual go-to-market approach — before anything gets built or automated.
Operationalizing the strategy — the workflows, handoffs, and CRM structure that make it run day to day.
Equipping and training the team to execute efficiently — not just building the system around them.
Deploying and configuring the tools that support the strategy — sized to what the team will actually use.
Getting the pricing model itself right — a distinct lever from process, and often the fastest one to fix.
The back-end foundation underneath all of it — data quality, access, and controls that hold up under scrutiny.
For companies with no real Revenue Operations in place today — spreadsheets, tribal knowledge, and disconnected tools standing in for a system.
For companies where basic RevOps exists but is fragile, manual, or held together by one or two people.
For companies where RevOps already exists and needs to scale — deeper systems, deeper automation, across functions.
A few lighter-touch options for staying current once your foundation is in place.
Ongoing, hands-on partnership to keep your RevOps AI stack current as tools and models evolve.
A lighter check-in cadence — periodic guidance rather than hands-on implementation work.
Client-initiated only. Flat-fee search and placement when you're ready to hire your own RevOps team.
Drawn from our own operating experience inside growth-stage companies. Company information available by request.
Sales, marketing, and customer success operated on separate systems with no shared source of truth on pipeline. Leadership couldn't get a reliable forecast without a multi-day manual pull-together.
Rebuilt the lead-to-cash process end to end — unified CRM structure, standardized handoff points between teams, and a reporting layer leadership could trust without manual reconciliation.
Forecast accuracy improved meaningfully within one quarter; board reporting went from a multi-day manual exercise to a same-day pull.
Rapid headcount growth had outpaced process — reps were each running their own version of the sales motion, with no consistent qualification or handoff standard.
Designed and rolled out a standardized qualification framework and CRM workflow that scaled with the team rather than depending on tribal knowledge.
New reps ramped faster with a documented playbook instead of shadowing tenured reps; leadership gained visibility into pipeline health for the first time.
* Company information available by request.
Things like lead-gen setup or ICP crafting are stronger — and priced fairly — as part of a connected system rather than sold piecemeal. We bundle them into the tier that matches where your RevOps actually stands.
No. That's what the discovery call is for — we'll walk through your current lead-to-cash process together and figure out the right starting point.
It's part of how we build and run things, working quietly in the background. You're hiring for the outcome — a revenue engine that works — and AI is simply one of the tools we use to deliver that faster and keep it running efficiently.
That's exactly what a discovery call is for.