Most companies say they use AI. Far fewer can say it has paid off. Miami-based Optimum7 wants distributors to treat AI deployment as a measurement problem first.
The ecommerce agency published guidance for B2B manufacturers, distributors and wholesalers. It leans on a recent Gartner survey of chief information officers.
What the Survey Found
Gartner surveyed more than 2,000 CIOs and technology executives. Its release on October 19 said only 13 percent report significant or transformational value from AI so far.
Gartner also puts the odds of any single AI use case succeeding at about one in five. That is a sobering number for boards approving pilots.
Optimum7 pointed to a second finding. Few CIOs have rules for when a pilot should not move to production.
Even fewer have rules for dropping low-value AI that is already running. Projects tend to start easily and stop rarely.
That gap is costly. Money keeps flowing to tools nobody is measuring.
Gartner also describes a group it calls vanguards. They are CIOs who deliver better business outcomes and report high CEO-perceived AI value.
The survey links certain practices to better results. It does not show that those practices cause them.
Using AI Is Not Deploying It
Optimum7 draws a firm line between the two. A company that licenses an AI tool or adds a chatbot to its storefront is using AI.
Its quote, pricing and order systems stay unchanged. Deployment means connecting AI to the live data the business runs on.
That data includes prices, inventory and customer accounts. The AI then does a task inside a workflow.
The agency’s example is quoting. The AI reads a buyer’s request and matches each line to a product number.
It pulls the account’s contract price and checks stock. Then it returns a quote.
A sales rep reviews only the lines that need a person. Those include a credit hold, an expired contract price or a price below the margin floor.
Companies can run this on one workflow first, in a limited trial called a pilot. They then decide whether to open it to every account.
Distributors have a reason to care. Quotes are slow and repetitive, and they are tied to margin.
That makes them a clean place to test AI.
Measure the Starting Point
CEO Duran Inci made the case for a baseline. “Before a distributor puts AI into its quoting process, it needs to know how long quotes take today,” he said.
He said a pilot should connect to live contract pricing, inventory and account rules. Its results should be measured against that starting number.
“A deployment that cannot be measured cannot be defended or improved,” Inci said.
Optimum7 recommends three steps. Start with one workflow, measure a baseline and keep human review on exceptions.
A rule for stopping a pilot also needs something to test against. Without a measure, there is nothing to stop on.
The agency says it has identified five reasons a B2B ecommerce pilot fails to produce a measurable result.
The advice echoes a theme in MAIN’s coverage of Miami AI adoption. Baptist Health, for one, built AI guardrails most hospitals lack.
A family office conversation on MAIN reached a similar point about AI without rules.
Optimum7 sells ecommerce services, so its advice also points toward its own work. Readers should weigh the guidance with that in mind.
Miami’s AI conversations often center on what to build. This guidance asks a quieter question about what to measure.
A pilot also needs an owner. Someone must decide, with numbers, when to expand it and when to end it.
Still, the core idea is sound. A pilot that cannot be measured cannot be judged.
For Miami companies planning AI deployment, the first step is a baseline number.
Sources: 1. GlobeNewswire / Yahoo Finance: AI Deployment: Only 13% of CIOs Say AI Has Delivered Significant Value (Optimum7, paid press release, November 6, 2026) 2. Gartner: Survey Finds Only 13% of CIOs Say Their Enterprise Has Realized Significant or Transformational Value from AI (October 19, 2026) 3. MAIN: Baptist Health Built AI Guardrails Most Hospitals Lack 4. MAIN: Ignacio Lopez on AI Without Rules at Family Offices