Working Mono · an AI-native firm

Turn Attio into the frontend of your revenue machine.

We are an official Attio Founding Expert Partner, and we usually standardize the commercial frontend on Attio. PATCH builds the system underneath it: product usage, billing, and support joined in your warehouse, with enrichment, routing, and lifecycle workflows shipped as code to your repo. Attio stays the surface your team lives in.

We do the work. You own the machine. Attio live on its foundation in month one.

Proof

30+Commercial systems delivered
Month 1Foundation live, guaranteed
100%Owned by you
270+Workflow patches shipped to client systems
Attio Founding Expert Partner
Trusted by AI-native teams Granola Reducto Cache Vetrec
The definition

What should an Attio implementation include? More than fields and pipelines.

A serious Attio implementation starts under the CRM: a data model matched to how you sell, product usage, billing, and support joined in your own warehouse, and enrichment, routing, and lifecycle workflows shipped as code. Attio becomes the working surface, the joined revenue memory behind it does the thinking, and you own all of it.

How it compounds

How an Attio system compounds. Ship weekly, see what it moved.

Every workflow patch behind your Attio reports the revenue it touched in a weekly ROI report. The data model sharpens, the workflows extend, and the system trends up, in infrastructure you own.

Step 01

Map the CRM terrain

AI Terrain Mapping reads your current CRM state alongside every source around it: product analytics, billing, support, spreadsheets. What the team believes about accounts and deals, compared against what the systems prove, charted into a map your team can inspect and correct.

Output: the terrain map, committed to your PATCH repo

Step 02

Model the revenue data

We design the Attio data model around how you actually sell, then join product usage, billing, and support behind it in your warehouse. Every attribute in Attio traces to a source. One account truth, with no duplicate records arguing with each other.

Output: an Attio model backed by one joined memory

Step 03

Generate account foresight

Memory shows what is true. Foresight shows what to move: the usage spike without a deal, the expansion no one owns, the renewal carrying support risk, all surfaced into the Attio views your team already works.

Output: the queue of next actions, inside Attio

Step 04

Ship the workflow

The next action becomes a workflow patch: enrichment, routing, lifecycle, alerts, all as code in your repo, all landing in Attio as clean records, tasks, and views. Verified against live data before your team relies on it.

Output: a verified workflow, live behind your Attio

Step 05

Read the signal report

Every patch reports back: what the system surfaced in Attio, what the team acted on, and the revenue it moved, trending week over week. The ROI report reads like an instrument, not a slide deck.

Output: the weekly ROI report, revenue moved

Step 06

Update the memory

The result feeds the model. Attributes sharpen, joins extend, routing rules adjust. Attio stays clean because the system underneath it is clean, and it compounds in infrastructure you own.

Output: a sharper model, and the next patch ships

Attio, implemented by a Founding Expert Partner. Scope it in 20 minutes.

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
+ and more
Month one

Month one puts Attio on a foundation. Weekly patches keep it moving.

We absorb your context, design the model, and deploy the foundation around Attio. Concrete by design: warehouse live, model migrated, first workflow running, and code committed to your repo.

Week 1

Model the terrain

Your team names the CRM bottleneck worth fixing first. We chart every source around Attio and design the data model underneath it.

Week 2

Attio on the model

Attio runs on the new model with your records migrated and reconciled. Signal goes in, clean records come out.

Week 3

Workflows and alerts

Enrichment, routing, and Slack alerts go live behind Attio. Your team works the views, and we push changes as you learn.

Week 4

Foundation owned

Code in your repo, data in your warehouse, Attio humming on top. The foundation is live, or your money back. Then we queue the next patch.

You own the machine.

You own the artifacts. You commission the work. The Attio workspace, the data model, the warehouse, and every workflow behind them: code in your repo, data on your infrastructure, docs your team can read. It's the CRM admin, RevOps, and analytics function you'd otherwise hire, running before you can justify the headcount. Cancel any month and the system keeps running.

In production

Real systems, running today.

Not a Notion deliverable. This board is our own PATCH instance, live: the same system we run behind Attio across 30+ owned client systems, operated weekly.

The next step

Let's build your Attio the right way.

In 20 minutes you'll know what your Attio implementation should include, where your data needs joining, and what it takes to ship it as code. Foundation live in month one, or your money back.

prefer email? contact@workingmono.com