Infor's AI pitch: the agents work because the customer never switched vendors

Infor's AI pitch: the agents work because the customer never switched vendors

Application & Agent Layer
Home services has run on late quotes and missed windows for years. A distributor's five-year, single-vendor climb to agentic execution shows what fixing that looks like upstream.
By Shashi Bellamkonda · July 29, 2026
2,000+
hours saved annually, Credit Agent
80-90%
faster sourcing and credit resolution
<2 yrs
projected payback, invoice automation

Team Air Distributing's agents work because they sit inside data Infor already owned. That is the differentiator Infor is selling, and it is a real one. It is also the reason the case study cannot tell you how the model performs on a customer running three other vendors underneath.

Since 2020, Infor has sold Team Air Distributing three products, each one built on top of the last: on-premises enterprise resource planning software first, CloudSuite Distribution in 2022, and now Velocity Suite, an AI and agent layer built on Amazon Web Services, or AWS. Every purchase deepened the same relationship instead of starting a new one, as Infor's Mona Patel, Industry and Solution Strategy Director, details in the case study (Infor, 2026).

The stack never changed hands

Team Air grew from five branches to 18 across the Southeast in under three years. Every branch added inventory records, invoices, and onboarding load to the same CloudSuite Distribution instance (Infor, 2026). That growth is the setup. The agent deployment is the payoff of a decision made years earlier, when Team Air chose not to run its ERP, its distribution logic, and its AI layer on three different platforms.

Most enterprises deploying agentic AI right now are bolting a model onto a stack assembled from a decade of separate vendor decisions. The agent has to learn a data model someone else designed, reconcile field names across systems, and earn trust from scratch. Team Air skipped that step.

Agents that already know the business

The Credit Agent answers accounts-receivable questions that used to take an employee 15 to 20 minutes of manual lookup across ERP screens, now resolved in under a minute (Infor, 2026). The Inventory Agent finds the right branch to source from across 18 locations in under 60 seconds, using Team Air's own sourcing rules rather than a generic search (Infor, 2026). Neither agent required Team Air to build a separate knowledge layer, because the credit policies and inventory rules already lived in CloudSuite Distribution.

That is the argument Infor is making with this case study, and it holds up on its own terms.

The product is the engineer, not just the software

Infor pairs Velocity Suite with Forward Deployed Engineers embedded at the customer, a delivery model closer to what Palantir built its government and industrial contracts around than to a standard SaaS rollout. Team Air's Chief Technology Officer Alisha Thompson credited the arrangement with fast turnaround on new use cases, describing the engineers as open to testing ideas as they come up (Infor, 2026). That responsiveness comes from a services commitment, not a product feature.

The agents look smart because the data was never a stranger to them.

Contractors inherit the distributor's speed

I had my own air conditioner replaced last month, and reading this case study, I recognized the exact friction points it addresses.

Team Air sells air distribution equipment to HVAC contractors, not to homeowners. But home services runs on the exact friction the Credit Agent and Inventory Agent were built to remove. Late quotes, mispriced jobs, and missed delivery windows are what a customer sees when the distributor behind the contractor cannot answer a credit or inventory question in real time.

A contractor who gets a same-minute sourcing answer instead of a same-day one can quote a job accurately and commit to a date. That gap, between systems that answer instantly and systems that make a customer wait, is where home services has lost trust for years. This case study is a rare look at a supplier fixing that gap upstream, before it ever reaches the homeowner.

Unknowns and uncertainties

The published figures come from Infor and from one customer's account. No independent benchmark shows what a Forward Deployed Engineer costs Infor to staff, how many CloudSuite Distribution customers currently have one, or whether the invoice automation targets of 60 to 70 percent in Phase 1 and up to 95 percent in Phase 2 hold once Team Air moves past its pilot branches (Infor, 2026). Those gaps do not undercut the case study. They mark where results from one flagship account stop answering questions about scale across Infor's broader CloudSuite Distribution base.

Vertical continuity from ERP to agent layer is a genuine advantage. Whether Infor can deliver the Forward Deployed Engineer experience at scale, and not just for reference customers, is a separate question with separate economics.

CIO/CTO Viability Question

Ask Infor how many CloudSuite Distribution customers have a Forward Deployed Engineer today, and what the staffing ratio looks like as that number grows. The Team Air numbers describe what happens with dedicated attention. Your rollout will tell you what happens without it.


Patel, Mona. "How Team Air Distributing Is Becoming an Agentic Enterprise with Infor." Infor Blog, 30 June 2026, https://www.infor.com/blog/team-air-distributing-agentic-enterprise-infor.

Disclaimer: This blog reflects my personal views only. Content does not represent the views of my employer, Info-Tech Research Group. AI tools may have been used for brevity, structure, or research support. Please independently verify any information before relying on it.