Kenco, one of North America's leading third-party logistics providers, has moved six DeepFabric AI agents into production across its commercial, operations, transportation, and client service teams. The company announced the deployment on Aug. 5, 2026, as the first phase of a plan to run 20 agents across the enterprise within 12 months.
The rollout puts Kenco ahead of the typical industry timeline. Microsoft's Agent Readiness Survey finds that enterprises usually need six to nine months or more to get AI agents into production, with even the best-prepared organizations averaging close to six. Kenco reached that point in three months.
The agents reduce manual, time-consuming work and sharpen decision-making, which frees Kenco teams to focus on the complex, high-judgment work that defines a strong 3PL. For customers, Kenco says, that means faster response times, greater accuracy, and more consistent service across the network.
Six agents in three months
"DeepFabric's platform was engineered for logistics operations at our scale," said David Caines, Kenco's chief operating officer. "We put our first six agents into production in three months, without disrupting service to a single customer, and we are on a path to 20 across the enterprise over the next year."
"Kenco needs to stay agile for our customers, providing faster response times, sharper insights, and scaling without missing a beat," Caines said. "With DeepFabric, we are confident we can deliver on what our customers need and deserve."
Kenco described the work as an effort to embed AI into how it operates, not as a standalone experiment but as a coordinated capability across the business.
Built for supply chain work
DeepFabric's agent platform is purpose-built for supply chain operations. Each agent operates with workflow context, systems access, permissions, evidence trails, and human review paths built in. Teams can inspect agent work, approve or override outputs, and add new workflows as value is demonstrated. The platform is designed to work alongside existing systems and teams, not replace them.
Kenco draws a line between agentic AI, which completes tasks within defined guardrails, and generative AI, which creates content and surfaces insights. DeepFabric handles the agentic layer, running structured operational workflows with the consistency and audit trail that enterprise logistics demands, while Kenco's teams retain accountability and decision authority throughout.
"Kenco is doing this the right way," said Kalyan Kommineni, founder and CEO of DeepFabric. "They are not chasing AI for the headline. They are deploying agents into the real work: the bids, the audits, the exceptions, the client relationships. And they are building a foundation that gets stronger with every workflow they add."
The Kenco partnership extends DeepFabric's work with logistics operators and supply-chain-intensive companies. The company is already in production with enterprise customers across CPG, medical distribution, 3PL, fleet management, manufacturing, and retail.
Why this matters for operations professionals
Kenco is a North American 3PL with more than 75 years of experience in distribution, transportation, material handling, and automation. Its rollout is among the faster examples of AI agents moving from pilot to production in logistics.
For operations teams, the practical takeaway is concrete: AI adoption here did not require replacing people or systems. It required identifying where structured tasks repeat, giving agents clear guardrails, and keeping humans in the review loop. The result is a shift toward higher-judgment work, with less time on repetitive tasks and more on decisions that affect service, cost, and customer relationships.
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