AI That Works the Room, Not the Autopsy Report

Every contact center leader knows the ritual. Monday morning, the dashboard comes out, and it tells you everything that went wrong last week. Long handle times on Thursday. A spike in transfers on the billing queue. Sentiment dipping on the afternoon shift.

The Report Arrives After the Funeral

The report is accurate, detailed, and useless to the customer who had the bad experience Thursday at 2pm. That caller is gone before the numbers ever render. And the stakes of being late keep climbing: PwC's research finds 32% of customers will walk away from a brand they love after a single bad experience (PwC, Experience Is Everything). The Monday report never reaches anyone who could have saved them.

That's the gap Avaya Infinity® is built to close. The platform's design principle is blunt: understanding, decisions, and action belong inside the interaction, not in the post-mortem.

What That Looks Like With a Real Caller on the Line

Avaya calls one piece of this Tandem Care, and the idea is simple enough to draw on a napkin: the AI and the human agent work the same conversation from the same context. While the agent talks, the AI does the background work, pulling account history, checking the billing system, assembling what the caller will need next, and quietly guiding the agent's next step. The human handles the parts a human should handle: reading frustration, extending trust, knowing when to bend a rule.

It also happens to be what customers already expect. In Zendesk's benchmark data, 70% of customers say they expect anyone they interact with to already have full context of their situation. They're not asking for a miracle. They're asking not to repeat themselves.

The caller never repeats. The agent never guesses. The workflow happens around the conversation instead of interrupting it.

The Data Problem, Finally Handled

None of that works if your enterprise data stays locked in its silos, and this is where most AI projects quietly die. Everyone has dashboards; almost nobody has the plumbing that lets the billing system and the call actually meet. It's the unglamorous reason so many AI pilots never become AI production.

Infinity's answer is a built-in data foundation, developed with Databricks, that activates enterprise data in real time. Billing records, usage patterns, logistics status, fraud flags: the systems that actually know the customer can hand that context to the conversation while the customer is still talking. And where structured connectivity is needed, Infinity supports MCP, the emerging open standard for connecting AI models to enterprise systems without a scrapyard of brittle custom integrations to maintain.

One caveat Avaya itself makes, and it's an honest one: open standards like MCP connect things, they don't orchestrate them. That's the platform's job, and it's the difference between a connected contact center and a working one.

Does It Move Numbers?

Avaya publishes results from a large utility provider running on the platform: self-service completion went from 25% to 70% of interactions, roughly 70% fewer interactions needed a live agent, and the first automation use case ran at 3x its previous efficiency. Your mileage will vary with your workflows and your data. But the direction is what you'd expect when intelligence stops arriving late.

The Healthcare Version Is Worth Sitting With

In a clinical setting, the same pattern reads like this: agentic AI summarizes a patient's history from the EHR before the call even routes, so whoever picks up starts informed. Compliance and privacy protections run at every step, and the AI works under guardrails that keep language, disclosures, and data handling inside the rules. The agent spends the call being a person instead of a search engine.

That's the version of this story we at Gage hear healthcare leaders ask for by name: help me modernize without asking my staff to become engineers.

Where This Leaves You

Retrospective reporting still matters. You'll keep your dashboards. But the interesting question for the next two years is what your contact center does while the caller is still on the line, and that's a platform decision, not a plugin.

If you're weighing what real-time AI would mean against your current setup, that's a conversation worth having with someone who runs these integrations for a living.