The fourth pattern from commonsku's 2026 CEO summit was the one the participants seemed most sure of: your data is the moat. Distributors that can point AI at structured orders, POs and client history outperform those relying on knowledge scattered across inboxes and heads. Eku Malcolm's line from the session is the right one: "Your data doesn't need to be perfect. But it needs to be yours."
We agree, and we would push it one step further. Most of a distributor's most valuable data is not in any system at all.
The data that is in the system
Orders, line items, customers, suppliers, ship dates, invoices. This is what the ERP holds, and it is genuinely a moat. Every AI feature the platforms shipped this year, from commonsku's AI Product Search using client history to SAGE's natural-language SmartSearch, gets better the more of this data a distributor has.
It is also where the industry has been disappointed. PPAI found that 44% of distributors have seen no significant personalization benefit from AI so far. Structured data alone does not make an agent useful. It tells the agent what happened. It does not tell it what to do.
The data that is not
What to do lives in people. Which customer sends sizes across the top instead of down the side. Which supplier's quoted lead time needs five days added. What a 2% freight variance means versus a decoration charge that was not on the quote. When a rush is really a rush. Why this account gets a call instead of an email.
None of that is in the ERP. It is in the CSR who has been there eleven years, and it leaves when they do. Counselor's 2026 report has half of distributors worried about retaining qualified workers, and this is the reason that worry is justified. The moat has a hole in it, and the hole is shaped like a person.
The order history tells an agent what the business did. The rules in people's heads tell it what the business does. A moat needs both.
Turning tacit knowledge into owned data
The way to capture the second kind of data is not a documentation project. Nobody writes down eleven years of exceptions, and if they did, the document would be out of date by the second week.
It gets captured when the work is taught. A person records the workflow and narrates the why. The narration becomes rules. When the agent meets a case the rules did not cover, a person corrects it, and the correction becomes a rule with a reason and a date. Over months, the distributor accumulates a written, owned body of operating knowledge that used to exist only as habit.
That knowledge stays the distributor's. It is not shared with other customers, not used to train anything, and it exports with everything else if the relationship ever ends.
How AltOps treats your data
AltOps holds knowledge as structured records, each with the rule in the operator's own words, why it exists, who added it and when, and its approval status. Every record is scoped to one company and never leaves it. Every run keeps its own record too: the inputs, the rules in force, each step and screenshot, and any human intervention, frozen at the time it ran.
That is what makes the moat real. The order history was always yours. The judgment that ran the business is finally written down, and it is yours as well.
Sources: commonsku, "How Distributors Are Using AI: 4 Patterns from commonsku's CEO Summit," 2026; commonsku, "How Promo Distributors Are Using AI to Sell More in 2026"; PPAI, "SAGE Launches New Features for 2026 That Boost Customization"; PPAI Research, "Promo's AI Challenges and Opportunities"; ASI, "Counselor State of the Industry 2026: Adopting an AI Strategy," July 2026.
Written by Madhavam Shahi, teaching agents to run the back office at AltOps.
