GrowthIQ’s NAVI transforms live trucking data into customer-facing updates, reports, and repeatable workflows through managed AI, saving you time every day.
GrowthIQ today highlighted Winnesota as a customer example of how managed AI can go beyond scattered AI experiments to create measurable operational value in complex logistics environments. With Managed AI, GrowthIQ handles private AI infrastructure, governance, LLM, custom agents, tools, knowledge bases, and workflows, allowing companies to deploy AI without having to build, manage, or staff the expertise themselves.
Customer reporting was almost a full-time job. Using Navigation, we were able to turn customer updates into automated workflows that delivered great ROI. ”
— Jenn Kapeluck, Winnesota State Vice President of Technology
Winnesota, a regional cold-chain transportation, warehousing, fulfillment, and distribution company, uses GrowthIQ’s NAVI platform as an operations-first production layer for customer communications, reporting, warehousing support, and repeatable document workflows. Unlike general-purpose chatbots or one-time email creation tools, Navi operates as a memory-powered workflow console that retrieves live trucking and operational data from Winnesota’s transportation management system, applies customer-specific operational rules, creates customer-ready files and emails, and stores modified workflows for future reuse.
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This operating model is at the heart of GrowthIQ’s managed AI approach. General-purpose AI tools help individuals write faster, but they don’t understand a company’s business, customers, delivery windows, proof-of-delivery rules, reporting formats, service commitments, pricing context, or account-specific exceptions. GrowthIQ provides organizations with a private, managed AI layer. There, NAVI connects business knowledge, live system data, workflow memory, reusable prompts, scheduled automation, and human validation into one daily execution environment.
“Winnesota is a great example of how managed AI can quickly prove value when applied to real enterprise data and real operational workflows,” said GrowthIQ President Craig Nelson. “Within weeks of the production pilot, GrowthIQ connected NAVI to Winnesota’s knowledge, data, and systems and demonstrated measurable value with daily customer updates and reporting, giving the team the confidence to move from exploring AI to using it in production.”
Winnesota’s primary use case is periodic route block customer updates regarding active delivery operations. These updates are operationally critical, repetitive, and time-consuming, and are often tasks that employees don’t want to spend hours manually recreating every day. NAVI helps turn daily workloads into repeatable processes by generating customer updates, proof of delivery reports, on-time and late delivery analysis, customer-specific spreadsheets, scheduled reports, HTML email updates, and sophisticated operational documentation.
Instead of starting from scratch every time, Winnesota lets you save operational rules, refine workflows, reuse modified logic, and improve output over time. This is the difference between casual use of AI and managed AI deployment. Work becomes repeatable, controlled, and increasingly valuable to the entire team.
Usage data shows that deployments are moving from initial exploration to operational execution. From February 2026 to May 13, 2026, Nav provided 2,729 assistant answers for Winnesota. March was our busiest month, with 1,390 recorded assistant responses and 7,487 NAVI-coordinated tool calls across customer updates, reporting, analysis, document creation, and workflow execution.
What’s next? Winnesota also connected NAVI to Freshdesk to extend MANAGED AI to customer success. NAVI helps you measure support burden per customer, identify high-touch accounts, surface recurring questions that indicate training needs, and uncover recurring issues that indicate gaps in your processes. These insights can help Winnesota improve reporting, better support customers and staff, and compare support efforts to customer value to inform service and pricing decisions.
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