Your agents inherit your data problems. The CRM can look clean while the business is unreadable. PATCH maps the terrain, builds the memory, and ships the workflows your team and your agents act on.
We do the work. You own the machine. Foundation live in month one.
Product usage, billing, support, CRM, lifecycle, and market signal all live in different shapes. Your reps work around it. Your agents inherit it. PATCH maps the terrain, builds the memory, then ships the workflows, into infrastructure you own.
Every patch reports the revenue it touched in a weekly ROI report. Every report sharpens the memory. The system trends up, in infrastructure you own.
Consulting discovery asks your team to explain the business in workshops. AI Terrain Mapping runs both halves at once: interview agents debrief every stakeholder while we read the source systems directly. What the team believes, compared against what the APIs prove, charted into a map your team can inspect and correct.
Output: the memory map, committed to your PATCH repo
The terrain becomes a source-traceable Commercial Memory in your warehouse: product usage, CRM, billing, and support joined into one model. Every answer traces back to source. Humans read it. Agents query it. Nobody argues with it.
Output: one model your team and agents both trust
Memory shows what is true. Foresight shows what to do next. The system sweeps the account field and locks what should move: the expansion ready for a human, the signal that needs an owner, the renewal carrying risk.
Output: the queue of highest-leverage next actions
The next action becomes a patch: routing, lifecycle, alerts, enrichment, dashboards. Built, verified against live data, and landed in your repo. Production workflows your team acts on the same week.
Output: a verified patch, live on your infrastructure
Every patch reports back. What the system surfaced, 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
The result feeds the memory. Definitions sharpen, joins extend, exceptions get recorded. The system gets sharper every cycle, and it compounds in infrastructure you own.
Output: a sharper memory, and the next patch ships
Is your business AI-legible? Find out in 20 minutes.
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attio
stripe
snowflake
segment
postgres
slack
hubspot
mixpanel
intercom
zendesk
linear
bigquery
salesforce
posthog
amplitudeWe absorb your context, then deploy the infrastructure around it. Concrete by design: warehouse live, first workflow running, query surface working, code committed to your repo.
Your team names the bottleneck worth fixing first. We chart the sources and stand up the warehouse and data model underneath it.
That bottleneck runs on real data, not a demo. Signal goes in, the right action comes out, for your team.
Slack alerts and the query surface go live. Your team asks questions and acts, and we push changes between sessions as you learn.
Code committed to your repo, data in your warehouse. The foundation is live, or your money back. Then we queue the next patch.
You own the artifacts. You commission the work. Code in your repo, data in your warehouse, workflows on your infrastructure. Cancel any month and the system keeps running. We keep it compounding.
Not a Notion deliverable. Running commercial infrastructure across 30+ owned systems, operated weekly.
In 20 minutes you'll know how AI-legible your business is, and what it would take to get there.
