How Lumberify 4x'd Sales Team Capacity with KnowledgeOps
When a PE-backed company needs to grow EBITDA without growing headcount, there are limited options. You can squeeze margins. You can cut costs. Or you can find a way to make the team you have dramatically more capable.
Lumberify chose the third path.
The Firm and the Pressure
Lumberify operates in the wood products space - a relationship-intensive business where account managers carry deep knowledge about supplier networks, product specifications, pricing dynamics, and client preferences. The kind of knowledge that takes years to build and is almost impossible to document.
Under PE ownership, the pressure to scale was constant. Investors wanted more accounts, more revenue, better margins - on a timeline that made traditional hiring both slow and expensive. And even if headcount had been on the table, the bottleneck was not bodies. It was knowledge.
The best account managers at Lumberify were carrying playbooks in their heads. How to navigate a new client relationship. Which questions to ask during discovery. When to escalate and when to hold. What a winning proposal looked like. This knowledge existed, but it existed only in people - making it fragile, non-transferable, and impossible to scale.
The Problem: Manual Everything
New account onboarding was a particular pain point. Bringing on a new client required manual coordination across multiple steps: gathering background, customizing communication, setting up follow-up sequences, coordinating with suppliers. The process could stretch over days. It required senior account manager time at every stage.
As a result, each account manager had an effective ceiling on how many accounts they could actively manage. The math was simple and unfavorable: to grow the account base, you needed more account managers. To get more account managers, you needed to hire, train, and wait. The business was stuck.
The Engagement
Aggregate Intellect came in through a KnowledgeOps assessment - mapping where knowledge lived in the organization, where it was leaking out, and where its absence was creating operational drag.
The assessment identified three primary leverage points: account briefing, follow-up sequences, and knowledge capture from top performers. These were the places where human time was most consumed by work that could be systematized.
What Was Built
AI-Assisted Account Briefing: When a new account enters the pipeline, agents now pull together a structured briefing - supplier history, competitive context, relevant pricing signals, recommended approach - drawing on both internal knowledge and external sources. Account managers arrive at their first client conversation prepared in ways that previously would have required hours of manual research.
Automated Follow-Up Sequences: The follow-up coordination that once required active attention from account managers now runs on schedule. Agents handle routine touchpoints, flag accounts that need human attention, and surface signals that indicate a relationship is at risk or ready for expansion.
Knowledge Capture from Top Performers: The methodology, judgment calls, and tacit expertise of the best account managers at Lumberify were systematically captured and structured. This knowledge was then built into the agent layer - making it available to every account manager, not just those who happened to work alongside the top performers.
New Account Onboarding: What once took days now takes hours. The structured onboarding sequence that was previously assembled manually is now automated end-to-end, with human review at the judgment-intensive touchpoints only.
The Result
The same sales team now manages 4x the number of accounts they managed before. Not because the team got bigger - it did not. But because the manual overhead that was consuming their capacity has been replaced by systems that handle the repetition while humans handle the relationships.
New account onboarding, which once stretched over days of manual coordination, now completes in hours.
The account managers at Lumberify are doing higher-leverage work: more client calls, more strategic planning, more complex relationship management. The agents handle the research, the coordination, the follow-up.
If you are leading a PE-backed company and facing the same pressure to scale without proportional headcount growth, our Tech Co-Founder as a Service offering is designed for exactly this kind of challenge.
Ready to explore working with us?
Learn how our team can help you apply KnowledgeOps to your organization.
Explore Tech Co-Founder as a Service