Atlas Commerce

Atlas came to us with eleven years of CRM data nobody trusted, three sales reps logging deals three different ways, and a forecast the founder described as fiction. Leads were arriving faster than the team could reply, and the ones that went quiet stayed quiet. Nothing was technically broken. The architecture around it was.

A CRM the team worked around instead of inside

Our audit traced every lead from ad click to invoice. Average first response was six hours, and 38% of inbound never got a second touch at all. Deals sat untouched for eleven days with no rot alert, no escalation, and no owner. The data itself was worse: duplicate contacts, dead custom fields, and pipeline stages that had been renamed so often nobody could report on them. We put a number on it before quoting anything, roughly $41,000 a month in revenue that arrived and quietly left.

Rebuild the architecture, keep the platform

We did not replace their CRM. We rebuilt what sat around it. New pipeline architecture mapped to how they actually sell, a full deduplicated migration of eleven years of history with nothing lost, stage automation so a deal cannot go quiet without alerting its owner, and an AI qualification layer that scores and routes every inbound lead the moment it lands. Everything was built and tested in parallel with the live system, then cut over on a Friday night with no downtime.

Migrated live, documented in full, handed over

Eleven years of records moved without a single lost deal. The team got trained on the new pipeline in one afternoon because it finally matched how they already worked. Every automation was documented so their ops lead can extend it without calling us.

What changed