Most RevOps automation is admin work: clicking rules into HubSpot, Zapier, and n8n and hoping they hold under load. We write it as code on one joined revenue model in your warehouse, with routing, lifecycle, alerts, and reporting shipped to your repo as versioned patches.
We do the work. You own the machine. RevOps foundation live in month one, or your money back.
RevOps automation replaces the manual work of revenue operations, lead routing, lifecycle updates, alerts, and reporting, with software that runs continuously. Done as engineering rather than admin, it ships as versioned code against one joined revenue model of product, CRM, billing, and support data, so every rule can be read, tested, and changed by the team that owns it.
Each automation ships as a versioned workflow patch and reports what it moved: leads routed, stages corrected, alerts acted on. The results feed the revenue model, so the next patch starts sharper than the one before it.
Discovery for RevOps usually means workshops and a process doc nobody opens twice. We run interview agents across your team while reading the CRM, billing, product, and support systems directly, then chart where belief and data disagree. The mess gets named before anything gets automated.
Output: a map of the revenue operation, in your repo
Product usage, CRM, billing, and support land in your warehouse as one joined, source-traceable model of accounts and revenue. This is the layer five tools never share. Routing, lifecycle, and reporting all read from it, so a rule changed once holds everywhere.
Output: one joined revenue model in your warehouse
The model gets swept for the operations bleeding the most time and pipeline: leads sitting unrouted, stages drifting out of date, renewals with no owner, reports built by hand every Monday. Each becomes a scoped automation with an expected payoff, ranked before we build.
Output: a ranked queue of automations worth shipping
Routing, lifecycle updates, escalation alerts, pipeline reporting: each ships as a workflow patch, written as code, tested against live records, and merged to your repo. No brittle no-code chains to babysit. Your team reviews the diff the way engineers review any change.
Output: a production automation on your infrastructure
Every automation reports what it did: leads routed and to whom, stages corrected, alerts raised and answered, hours of admin removed. The weekly report is generated from the model itself, so RevOps stops assembling numbers and starts acting on them.
Output: the weekly ROI report, admin hours reclaimed
What the automations learn goes back into the model. Scoring thresholds move with the data, routing rules absorb the exceptions, definitions stay current as the funnel changes. The system compounds instead of decaying into the usual rule sprawl.
Output: a sharper model, and the next patch queued
The RevOps hire can wait. The automation can't. Scoped in one 20-minute call.
Book a 20-minute call
attio
stripe
snowflake
segment
postgres
slack
hubspot
mixpanel
intercom
zendesk
linear
bigquery
salesforce
posthog
amplitudeFour weeks, four artifacts: a live warehouse, a joined revenue model, your worst manual workflow running as code, and a repo your engineers can extend. Concrete enough to guarantee.
Your team names the operation bleeding the most time. We chart the sources behind it and stand up the warehouse and revenue model underneath.
The worst manual workflow becomes code: routing or lifecycle running on live records, every action logged and traceable.
Escalation alerts land in Slack and the reporting layer goes live. Monday numbers assemble themselves for the first time.
Code merged to your repo, model live in your warehouse, automations running. Foundation delivered, or your money back.
The automations are yours in the plainest sense: code in your repo, the revenue model in your warehouse, workflows on your infrastructure. It works like the RevOps function you were about to hire, minus the six-month ramp, and none of the logic hides inside a vendor's admin panel. Cancel any month and the system keeps running. We keep extending it while you stay.
The automations above are the product: live across 30+ owned commercial systems, shipping and reporting every week.
Twenty minutes: name the operation eating the most admin time, see how a joined revenue model would carry it, and leave with month one scoped.
