Ingram Micro, a global distributor of IT products and services, this week showcased an artificial intelligence (AI) agent that aggregates and analyzes market insights and sales signals in real time to enable its sales teams to surface better recommendations to IT solution providers.

Demonstrated at the Ingram Micro One 2025 conference, the Sales Briefing Assistant was developed using the Gemini large language models (LLMs) developed by Google.

Ingram Micro CEO Paul Bay told conference attendees that the Sales Briefing Assistant is the first in a series of AI agents that the global distributor of IT products and provider of professional services plans to embed within an AI Factory that it has embedded with the Xvantage platform it relies on to manage transactions with partners.

The Sales Briefing Assistant surfaces predictive insights in the form of a daily sales brief that enables the Ingram Micro sales team to engage more proactively with IT solution providers and technology partners via Xvantage Enable | AI sales enablement program, which the distributor has created to tap into more than 400 AI models.

It’s not clear to what degree AI will enable organizations such as Ingram Micro to identify sales opportunities, but the insights it surfaces should enable the distributor to better serve channel partners, which enables the distributor to generate billions of dollars in annual revenue. Ingram Micro last week reported a net income of $99.5 million on sales of $12.6 billion for its third quarter, representing a 7.2% increase in sales year over year. For the fourth quarter, Ingram Micro is projecting revenues of $14 to $14.35 billion.

Of course, AI sales tools don’t automatically increase the size of the addressable market for IT products and services. However, if salespeople are having more informed and relevant discussions with Ingram Micro partners, it becomes probable that those partners in turn will be able to craft more relevant partners for their end customers, most of which are small-to-medium businesses (SMBs) that span multiple vertical industries. Ingram Micro expects many of those organizations to look to its solution provider partners to more aggressively operationalize AI over the coming year, noted Bay.

Less clear is the degree to which autonomous AI agents might one day conduct transactions. Theoretically, Ingram Micro and its solution provider partners will be using AI agents to, for example, respond to inquiries being made by AI agents that organizations have embedded within their purchasing systems. How those AI agents will negotiate with each other remains to be seen, but the overall goal would be to reduce the current level of transaction friction.

AI agents, one way or another, will soon be pervasively employed across millions of workflows. Many providers of IT solutions will, of course, be at the forefront of the adoption of AI agents. Most of that adoption will initially involve transactions with IT vendors that are already investing heavily in AI to automate workflows. A report published by The Futurum Group, for example, notes AI agents are already being used, for example, to help govern and administer rebates. deal registrations, and market development funds (MDFs) provided by channel partners.

The challenge, as always, will be determining how best to manage and secure all those AI at increasingly higher levels of scale.