ITx Executive Dinner

From Agent Coaching to AI Agents: The New Playbook for Enterprise Customer Experience

An executive dinner exploring how unified AI platforms are transforming contact center performance, turning every customer conversation into a competitive advantage.

Presented by ITx Collective

In Partnership With

Cresta

About This Event

The contact center has become the frontline of enterprise AI adoption. Organizations are deploying AI agents that navigate complex, dynamic customer conversations across voice and digital channels while sounding and feeling human. They're coaching live agents in real time with behavioral guidance drawn from top-performer data. And they're using natural-language analytics to surface insights from millions of conversations that traditional tools couldn't touch.

But the gap between early wins and enterprise-scale transformation is where most organizations stall. The challenge isn't whether AI works in the contact center. It's how you unify human and AI agents on a single platform, fine-tune models on your proprietary data, and build the operational discipline to continuously optimize performance while maintaining guardrails.

This executive dinner brings together a curated group of CIOs, CTOs, Chief Digital Officers, and senior technology leaders for an honest, peer-driven conversation about what's actually working, what's not, and what comes next.

Evening Agenda

5:00 PM ET

Welcome Reception

Arrivals, cocktails, and introductions with fellow executives.

6:00 PM ET

Leadership Dinner and Discussion

Introduction (5 min)

A peer executive host opens the evening with brief introductions around the table, sets the format, and frames the central question: how do you turn every customer conversation into a competitive advantage at enterprise scale?

Guided Interactive Conversation (25 min)

Where are AI agents and real-time agent coaching delivering real performance gains, and where are they falling short? What does it take to unify human and AI agents on a single platform without disrupting existing operations? How are organizations fine-tuning AI on their own conversational data to improve accuracy and reduce hallucinations? What are the sustainability and cost realities of scaling AI across the contact center, and how are leaders planning for them?

Open Forum Discussion (30 min)

The group moves into collaborative problem-solving on the specific challenges raised at the table. This is peer-to-peer brainstorming focused on actionable ideas: what's worked, what hasn't, and what you'd do differently. The goal is to leave with solutions, not theory.

7:15 PM ET

Dinner Service

Conversation continues over a seated dinner.

9:00 PM ET

Close of Evening

What You'll Walk Away With

Real-World AI Performance Benchmarks

A realistic picture of where AI agents and real-time agent assistance are delivering measurable ROI in enterprise contact centers today, not vendor promises, but peer-validated outcomes across sales, service, and retention.

Implementation Playbooks That Actually Work

Peer-tested approaches to the barriers that stall AI transformation: data readiness, model accuracy, integration with existing CRM and contact center infrastructure, and the organizational change management required to get teams to adopt.

A Sustainability and Cost Framework

A practical lens on AI sustainability beyond the pilot, including compute and energy considerations, the operational model required to keep performance improving over time, and how to build a business case that holds up at scale.

A Roadmap Gut Check

A concrete sense of where your AI adoption stands relative to peers making similar bets, with specific next steps you can take back to your organization to accelerate or course-correct.

A Peer Network That Lasts

Direct relationships with fellow CIOs, CTOs, and senior technology leaders navigating the same decisions, a room you can call on long after the evening is over.

Express Your Interest

This is an invitation-only executive dinner. Submit your information to be considered for attendance.

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