Enterprise Connect 2026 had a lot of AI announcements. But Dialpad’s might be the most useful one for anyone actually selling this stuff.

Here’s the problem they named — and it’s a problem every channel rep selling AI-enabled comms or CCaaS is running into right now. Enterprises are not short on AI interest. They’re not short on budget, pilot programs, or executive sponsorship. What they’re short on is the ability to take an AI pilot and turn it into a production deployment with measurable ROI that justifies the spend.

Dialpad CEO Craig Walker called it the “AI execution gap” at Enterprise Connect this week: “Enterprises aren’t struggling with AI ambition — they’re struggling with AI execution.”

That framing is worth writing down. Because if that’s true — and based on what I’m seeing in the field, it is — then the sales problem isn’t getting a customer to say yes to a proof of concept. The sales problem is getting them from POC to production. And every rep I know has at least two deals sitting in pilot purgatory right now.

The Scale of the Problem

Dialpad cited data suggesting that 79% of companies adopted AI agent technology in 2025. That’s a staggering penetration rate for a technology that wasn’t mainstream three years ago. Bank of America Global Research projects spending on agentic AI to reach $155 billion by 2030 — a number that, when you say it out loud, is almost hard to contextualize.

And yet despite all of that adoption and all of that projected spend, roughly half of AI agent projects are stuck at the pilot stage. Customers who’ve committed to AI-driven automation can’t get it to production.

That’s your sales opportunity.

When half the market has started a journey and can’t finish it, the rep who shows up with a path to the finish line wins the deal. Dialpad just gave you tools to build that path.

What They Actually Launched

Let me break down the three things worth knowing about from Dialpad’s Enterprise Connect announcement:

Skill Mining. This tool analyzes a company’s historical conversation data — support calls, chats, customer interactions — and identifies where AI can actually move the needle. Not where AI theoretically could help. Where it can help based on the specific patterns in this customer’s actual data.

That’s a different sales conversation. Instead of asking a prospect to imagine what AI might do for their contact center, you show them friction points in their existing workflow and tell them exactly where an AI agent would reduce handling time or improve resolution rates. It turns a demo into a diagnosis.

Proving Ground. Before deploying an AI agent, enterprises can now simulate its performance and validate expected ROI in a test environment. The agent runs. You see what happens. You know what the numbers will look like before anyone has committed to a production rollout.

For the rep, this is deal-closing infrastructure. The biggest objection you get in enterprise AI sales right now isn’t “I don’t think this works.” It’s “I can’t get my CFO to approve this without showing them what we’re going to get back.” Proving Ground generates that answer before you ask for the signature.

Agent Studio. No-code environment for building custom AI agents. Business teams can create agents tailored to their specific workflows without writing code. Connectors for existing enterprise applications and security policies are built in.

The channel angle here is significant. If a customer can build and configure their own AI agents without requiring a professional services engagement every time, the cost-per-automation drops dramatically. That makes the business case easier, the deployment faster, and the follow-on expansion more likely.

How to Change the Sales Motion

Most AI deals I’ve seen go sideways at the same point: the demo works, the prospect is excited, and then the POC gets handed to the IT team and sits there for four months while everyone waits for a business case that nobody was assigned to build.

Here’s how to use these tools to break that pattern:

Step one: Lead with Skill Mining before the demo. If your Dialpad rep can run a Skill Mining analysis on the prospect’s conversation data pre-sale, you go into the demo with data that’s specific to their business. You’re not saying “AI can reduce average handle time.” You’re saying “in your data, we found 12 call types where automation would have cut handle time by an average of 40%.” That’s a different conversation.

Step two: Build the ROI case inside Proving Ground before you ask for a decision. Don’t let the business case fall to the customer’s internal team to construct. Build it yourself using the simulation data and present it to the economic buyer. Your job is to make the yes as easy as possible. A validated ROI model from a pre-deployment simulation removes the biggest remaining objection.

Step three: Scope the Agent Studio deployment as part of the close. If you can walk out of the meeting with an agreement to build a specific agent using Agent Studio in the first 30 days of the contract, you’ve given the customer a concrete win they can show internally. That first agent deployment accelerates the rest of the account expansion. It creates proof, it creates an internal champion, and it gets AI off the pilot list and onto the production roster.

The Broader EC Takeaway

Dialpad’s announcement is part of a larger shift that defined Enterprise Connect 2026. Day one was about AI announcements and possibility. Day two — and the rest of the week — was about pressure. CIOs and IT buyers are no longer impressed by what AI can hypothetically do. They’re being asked by their CFOs to justify what they’ve already spent. That changes what a vendor needs to show up with.

Hayley Sutherland, IDC’s Research Manager for Conversational AI, said at the show: “The real value for customers right now is moving past pilots.” That’s where the vendor landscape is heading — tools designed not just to show what AI can do, but to prove it works, measure the outcome, and get it into production.

The reps who understand that shift will close more deals. The ones still running the “here’s what AI might do for your business” demo are going to keep watching their pilots stall.

Bottom Line

Dialpad’s Agent Studio rollout — Skill Mining, Proving Ground, no-code deployment, closed-loop analytics — is the clearest example I’ve seen this year of a vendor building sales infrastructure, not just product features. They’re not just giving you a product to sell. They’re giving you the proof-of-value framework that gets the deal across the finish line.

If you’re selling UCaaS or CCaaS right now and you’ve got AI deals sitting in pilot, start here. The technology isn’t the problem. The execution path is. And now you have one.