From interested to in charge: what it takes to build an AI-ready CX org

Three in four CX professionals are interested in a role that builds, monitors, and improves AI agents. Fewer than one in four feel confident in any of the core skills that role requires.

That gap sits at the center of Parloa's new AI in CX Readiness Report, based on a survey of 218 customer experience (CX) and contact center professionals run in August 2026. The people closest to your customers are curious about working with AI agents. What they need is direction: most don't know where to start, and few have been given a reason to.

For leaders, that makes agentic transformation a people decision first. It starts with deciding who leads the work and how your team grows into it, before anyone picks a use case.

The interest is there. The path isn’t.

Let's start with the good news, because there's a lot of it. 75.2% of respondents said they'd apply for, be interested in, or be curious about a role building, monitoring, and improving AI agents that handle customer calls. 56% believe managing AI agents will become a mainstream CX job within three to five years, the same way managing human teams is today.

Even where skills are missing, the will is there. Across five core AI agent skills, 1.6 times as many people who lack a skill want to learn it as have no interest in it.

For leaders, that interest is a strong foundation. Now it’s time to give your team a clear path from curiosity to capability.

Your team wants hands-on practice

The skills gap shows up across the board, from designing conversation flows to translating business requirements into agent behavior. Only 10% of respondents have hands-on experience designing, configuring, or improving an AI agent.

But it’s exactly what they’re asking for. Hands-on training or sandbox access with real AI tools ranked as the most helpful way to build skills (32.6%), followed by manager support and dedicated time (18.8%). Both are levers leaders control directly.

Skills only pay off, though, when someone has the authority to use them.

Nobody owns the AI agents

Ask who should design, update, and improve AI agents day to day, and you get a split decision. 29.4% said a dedicated AI center of excellence, 27.1% said IT, 17% said CX operations, and 14.7% favored a shared model. Another 11.9% weren't sure.

Day-to-day processes reflect that ambiguity. Only 20.2% say their CX team can make most changes to AI-powered tools on its own, while a third say changes are difficult or impossible without IT.

When no one is accountable for AI agents, governance falls through the cracks, and so does improvement. Fixing that starts with a few deliberate decisions from leadership.

Three moves leaders can make to build an AI-ready CX org

Getting your team from interested to in charge comes down to three moves, and each one starts with a leadership decision:

1. Assign ownership. Name a person and a team accountable for your AI agents’ performance and governance, and tie their goals to a broader CX outcome. The title matters less than the accountability.

2. Train and tool up. Give your people hands-on access to real AI tools and protected time to practice. Pair that with clear expectations for what humans own once AI agents take on repetitive tasks.

3. Enhance observability. AI agents need their own scorecard. Only 23.9% of respondents feel confident evaluating the quality of AI-generated customer interactions, so most teams can't yet tell whether their AI agents help or hurt the customer experience.

The people who make AI agents work

Agentic CX opens new career paths for the people who know your customers best. Your CX operators already understand your policies, your customers, and where the customer experience currently breaks down. Working alongside AI agents, they can step into new roles designing, guiding, and improving how those agents serve customers.

Show your team that path, and you give them a reason to invest in it. Show your team that path, and you give them a reason to invest in it. When people are excited about the change, adoption comes naturally, and that's what turns an AI initiative into a lasting transformation.

Give your team ownership, hands-on practice, and visibility into how AI agents perform, and you’ll build a CX org where people and AI agents grow together.

Use the AI in CX Readiness workbook to build your own roadmap to an agentic CX organization.