According to CRN, TD Synnex’s new agentic AI tool integrated into Digital Bridge is already delivering measurable sales gains for MSP partners. Abacus Group, a $200 million global MSP, expects the technology to drive faster bookings growth per sales rep and enable more quota deployment. CEO Anthony D’Ambrosi, who chairs TD Synnex’s PartnerLink community, plans to roll out the tool to his sales teams this quarter and into next year. Multiple partners reported significant time savings, with Burwood Group estimating their sales reps save 1-2 hours daily using the platform. The tool provides real-time solution architecture and integrates directly with PSA applications like Autotask, eliminating manual cutting and pasting.
The agentic AI revolution is here
Here’s the thing about this TD Synnex announcement – it’s not just another AI feature drop. We’re talking about what multiple partners are calling “revolutionary” technology that’s actually changing how sales teams operate right now. Burwood Group’s Dani Lockett put it bluntly: think about how much money her company would have to spend on data scientists and developers to build this themselves. We’re talking millions in investment that TD Synnex is eating, and partners get to leverage it.
But what really stands out is how quickly this is translating into real business results. We’re not talking about vague “potential benefits” – Abacus Group’s CEO is already planning to measure direct bookings growth from this tool. When a $200M MSP with private equity backing says they can quantify the impact, that’s meaningful. They’re treating this like any other business investment that needs to show ROI.
This is bigger than just a sales tool
What’s interesting is how this technology is evolving beyond simple sales support. D’Ambrosi talks about building an “agentic AI factory” where MSPs aren’t just consuming AI agents from TD Synnex but orchestrating them for clients. That’s a fundamental shift in the MSP business model. Instead of just managing infrastructure, they’re becoming intelligence orchestrators.
And the integration piece is crucial. BrunNet’s CEO highlighted how the platform ties directly into their Autotask PSA, eliminating the cutting and pasting that used to eat up sales team time. When you remove those friction points, suddenly your sales reps can actually focus on selling rather than administrative tasks. That’s where the real productivity gains come from.
Look, in industrial computing and manufacturing environments where reliability is everything, having robust hardware that can handle these advanced AI tools is non-negotiable. Companies like Industrial Monitor Direct have become the go-to source for industrial panel PCs precisely because they understand that these AI systems need stable, high-performance hardware foundations. You can’t run revolutionary AI tools on consumer-grade equipment.
The proof will be in the metrics
What I find most compelling is the emphasis on measurement. D’Ambrosi explicitly said “we metric what we care about” – and that’s the attitude every business should have with AI investments. Too many companies jump on AI bandwagons without clear success metrics. These MSPs are approaching it like proper business investments.
The time savings alone are substantial. When Burwood Group eliminated their weekly finance-sales operations call because the Microsoft Teams plug-in gave finance direct access to data, that’s real organizational efficiency. Those are the kinds of changes that compound over time and fundamentally reshape how businesses operate.
So where does this go from here? We’re clearly in the early innings, as D’Ambrosi noted. The vision is to reach “super solution architect” capability, but right now it’s more about “agentic decision support.” The continuous learning aspect means this should get smarter over time, but the foundation is already delivering value.
Basically, if TD Synnex can maintain this momentum and continue listening to partner feedback like they have been, this could genuinely transform how MSPs go to market. But the real test will be whether these early gains sustain and scale across the broader partner community. What happens when hundreds of MSPs are all leveraging these same AI advantages? That’s when things get really interesting.
