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Gamma Sales Director Alex Ayers sat down with UC Today following the company's GX 2026 event to discuss a persistent challenge across enterprise sectors: organizations are developing AI strategies but struggling to turn them into working deployments.
Ayers reported a consistent pattern across industries. Enterprise leaders are arriving at conversations with AI roadmaps already drafted, but the gap between planning and actual execution remains wide.
Key themes emerging from Gamma's conversations with enterprise clients include:
The core issue is not ambition or investment. It is the operational and technical friction that sits between a strategy document and a live system producing results.
"The conversations have shifted. It's no longer 'should we do AI?' It's 'why aren't we further along?'"
Ayers noted that sector does not seem to matter much. Whether in finance, healthcare, logistics, or professional services, the execution gap looks similar.
This is a direct opportunity for MSPs and telecom resellers. Enterprise clients are not lacking AI intent; they are lacking the execution layer, and that is exactly where service providers can add value.
The MSPs and resellers who win in this environment will be the ones who come to clients with deployable solutions, not just consultations. Clients want partners who can bridge the gap between AI strategy and live implementation without requiring them to build internal technical teams.
For providers already offering voice and communication services, this is a natural entry point. AI voice agents, for example, are one of the faster-to-deploy AI tools with visible, measurable results from day one. If you are looking for a practical starting point, how MSPs can add AI voice agents to their service stack outlines a straightforward path to getting there.
The risk of waiting is real. Clients who feel their current provider cannot help them execute on AI will start looking for partners who can. Understanding why MSP clients leave and what keeps them is increasingly tied to whether you are helping them move forward on AI, not just maintaining their existing stack.
Watch for enterprise AI budgets to shift away from strategy consulting and toward vendors and partners who can demonstrate fast time-to-value. Service providers who have deployable AI solutions ready to present now are better positioned than those still building the pitch.
For the full story, read the original article on UC Today.