We didn't discover this problem. We lived it.

Before Steerco, we were the operators managing large portfolios — running QBRs, building board decks at 11 PM, pulling numbers from CRM and product analytics into slides that nobody could trace. Every quarter, the same broken cycle. We were converting maybe 3% of our website traffic while the other 97% walked away unidentified. We were losing deals because follow-up took hours instead of minutes. We were watching customers churn because expansion signals surfaced too late.

AI was supposed to fix this. Instead, generic chatbots produced confident outputs with no data lineage, no persistence, and no connection to the actual revenue motion. Fast to generate, useless at scale. So we built the thing we wished existed: one system built around the two halves of revenue — growing it and retaining it. On the lead-generation side, we de-anonymize website traffic, identify decision-makers, filter by ICP, and deploy personalized outreach. On the retention side, we automate the client-facing deliverables — monthly reports, QBRs, EBRs, dashboards, portals, health reports, and renewals. Every action tied to live data, every outcome measurable.

While we were building Steerco, the same conversation kept happening. Customers would say: "This solves our engagement problem. But our real problem is bigger — how do we actually roll out measurable AI across the whole function? Marketing, finance, ops, CS. Without ending up with a dozen pilots and zero ROI."

That's how Practical AI was born. Same operators. Same engineering DNA. Applied to the function-by-function rollout problem most companies can't solve on their own. We audit the function, design the AI-native workflow, and ship the agent that does the work — measured, governed, and live. Custom built across GTM, Marketing, Ops, Finance, R&D, and CS.