# RevOps Automation | Working Mono > Machine-readable mirror of https://www.workingmono.com/revops-automation > Working Mono is the AI-native firm behind PATCH. We do the work. You own the machine. Working Mono · an AI-native firm # RevOps automation as owned code, not admin work. 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. Book a 20-minute call -> What is RevOps automation? We do the work. You own the machine. RevOps foundation live in month one, or your money back. ## Proof 30 + Commercial systems delivered Month 1 Foundation live, guaranteed 100 % Owned by you 270 + Workflow patches shipped to client systems Trusted by AI-native teams The definition ## What is RevOps automation? Revenue operations, run as software. 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. How it compounds ## How RevOps automation compounds. Every patch tightens the model. 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. REVENUE OPERATION · BELIEF VS DATA 01 / MAP Step 01 ### Map the revenue operation 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 Step 02 ### Build one revenue model 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 Step 03 ### Rank the automation queue 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 Step 04 ### Ship the workflow patch 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 Step 05 ### Read the ROI report 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 Step 06 ### Retune the model 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 Ask, then act ## One revenue memory. Every surface. GTM inputs attio stripe metronome clearbit apollo snowflake segment postgres slack hubspot mixpanel intercom zendesk linear bigquery salesforce posthog amplitude attio stripe metronome clearbit apollo snowflake segment postgres slack hubspot mixpanel intercom zendesk linear bigquery salesforce posthog amplitude + and more 01 / 05 > Month one ## Month one retires the busywork. Weekly patches take it from there. Four 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. **Week 1** ### Map the revenue operation Your team names the operation bleeding the most time. We chart the sources behind it and stand up the warehouse and revenue model underneath. **Week 2** ### The first automation The worst manual workflow becomes code: routing or lifecycle running on live records, every action logged and traceable. **Week 3** ### Alerts and reporting Escalation alerts land in Slack and the reporting layer goes live. Monday numbers assemble themselves for the first time. **Week 4** ### RevOps foundation owned Code merged to your repo, model live in your warehouse, automations running. Foundation delivered, or your money back. D01 WEEK 1 / 4 · MAP THE REVENUE OPERATION Your team names the operation bleeding the most time. We chart the sources behind it and stand up the warehouse and revenue model underneath. Week 1 Map the revenue operation d07 · terrain committed Week 2 The first automation d14 · running on live records Week 3 Alerts and reporting d17 · first report generated Week 4 RevOps foundation owned d28 · merged to your repo You own the machine. 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. In production ## Real systems, running today. The automations above are the product: live across 30+ owned commercial systems, shipping and reporting every week. operating ledger systems 34 runs · 7d 0 utc --:--:-- id system motion schedule last run runs·7d status ▮ standing by… The next step ## Let's put your revenue operations on rails you own. 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. Booking · intro call ◆ 20 min · direct with the team reading the calendar… prefer email? contact@workingmono.com We do the work. You own the machine . #### Product How PATCH compounds RevOps for growth teams vs hiring a RevOps lead Enrichment at raw cost Working Mono home #### Company How month one works In production Proof Contact #### Get in touch contact@workingmono.com Book a call (c) 2026 Working Mono. Official Attio Founding Expert Partner.