Who Owns the AI Agent in the Contact Center? A Guide to AI Governance for CX Leaders

An AI agent in the contact center needs a named owner and a clear split of responsibilities across CX, operations, IT and compliance. Courts have already held companies responsible for what their chatbots tell customers, the EU now requires AI agents to disclose that they are AI, and U.S. regulators are looking closely at how customer service handles sensitive data. Governance that works in practice combines scoped permissions, testing, live supervision, audit trails and independent certification.

Why ownership of AI agents is unsettled

With human agents, operations manages the work, quality assurance reviews it, IT provides the tools and compliance writes the rules the agents follow. An AI agent touches all of those areas at once, because it speaks for the brand, makes decisions that used to require a supervisor's approval, connects to billing and account systems, and handles personal data in every conversation.

In many companies, nobody has formal responsibility for all of that. The CX team may own the customer experience while IT owns the vendor contract and compliance reviews the scripts, with no single person accountable for what the agent actually does. Cresta's 2026 CX Workforce Report recommends that organizations formalize this new AI work rather than leave it spread across existing teams. Gartner has given similar advice, urging customer service leaders to set policies for how AI interacts with customers as agentic systems take on more of the work.

What courts and regulators expect

Rules for customer-facing AI are still being written, but a few court decisions and regulations already set expectations. The overview below is intended for CX leaders and is not legal advice.

Companies are responsible for what their AI says

In February 2024, British Columbia's Civil Resolution Tribunal ruled against Air Canada in a dispute over bereavement fare information its website chatbot had given a passenger. The tribunal found that a company is responsible for the information its chatbot provides in the same way it is for any other page on its website. Although the award was small, the same reasoning would apply to an AI agent handling a customer's account or billing.

Consumer protection law still applies

The Consumer Financial Protection Bureau's 2023 review of chatbots in banking stated that automated customer service must comply with federal consumer financial laws. It warned that institutions risk violations when a chatbot gives inaccurate information, fails to recognize that a customer is invoking their rights or mishandles personal data. The report also criticized "doom loops" that leave customers with no way to reach a person.

The EU requires AI disclosure

Since August 2, 2026, Article 50 of the EU AI Act has required that AI systems interacting directly with people, including chatbots and voice assistants, be designed so users know they are dealing with AI, unless that is already obvious. Violations can bring fines of up to €15 million or 3% of worldwide annual turnover, whichever is higher. Law firm Sidley Austin advises organizations to map every AI system they deploy and check whether these obligations apply, including AI built into existing customer service tools.

U.S. regulators are watching customer service operations

On March 26, 2026, the FCC voted unanimously to open a rulemaking on offshore call centers and customer service standards. Among the proposals is a requirement that interactions involving sensitive data, such as passwords, multifactor authentication codes, Social Security numbers and payment card numbers, be handled only by U.S.-based call centers. The proposal mainly targets communications providers and human staff, but contact centers using AI agents should watch how any final rules treat automated handling of the same data.

Who should own what

The arrangement that tends to hold up gives one executive accountability for the AI agent's outcomes and assigns specific decisions to the teams best placed to make them.

An accountable executive in CX or customer operations

Someone senior needs to answer for how the AI agent treats customers, in the same way a head of customer service answers for the human team. In most organizations that's the leader who owns customer experience or contact center operations, since they control the outcomes the agent is meant to improve.

Operations and policy owners decide what the agent may do

Refund limits, fee waivers, exceptions and escalation rules have always been business decisions. The teams that set them for human agents should set them for AI agents too, and should sign off when those rules change.

IT and security own access and data

IT decides which systems the agent can reach, what data it can read or change and how that data is protected. Security teams also assess the vendor's controls and certifications.

Compliance and legal own disclosures and regulated language

Compliance teams define required disclosures, including telling customers they are talking to AI where the law requires it, along with any scripted language for regulated conversations such as collections or healthcare.

An AI operations team runs the agent day to day

Because building, testing, supervising and improving an AI agent continues long after launch, many organizations are creating dedicated roles for it, including AI supervisors who monitor live AI conversations. Cresta introduced the AI supervisor role alongside its Agent Operations Center in December 2025, giving those supervisors a single view of human and AI conversations and the ability to step in when an AI agent needs help.

The controls a governed AI agent needs

The people accountable for an AI agent also need ways to see and control what it does. The following controls cover most of what regulators and customers expect.

Scoped tools and data access

An AI agent should only reach the systems and data its job requires. Cresta's guardrail framework limits each AI agent's tools and data access to approved scopes, enforces those limits with deterministic code and runs supervisory classifier models alongside the agent to catch problems in real time. Cresta's team also runs ongoing adversarial tests to probe for weaknesses before attackers find them.

Disclosure and an easy route to a person

Customers should know when they are talking to AI and should be able to reach a person without fighting the system. Doing both satisfies the EU's disclosure rule, avoids the doom loops the CFPB criticized and reflects what customers have said they want. In a Gartner survey of more than 5,700 customers, difficulty reaching a person was the top concern about AI in customer service.

Testing before release and after every change

Every update to an agent's model, prompts or knowledge base should go through regression testing before it reaches customers. Cresta's regression testing caught one financial services agent that had stopped reading a required compliance disclaimer after a routine model update, and the issue was fixed within hours.

Live supervision and intervention

Supervisors need to see AI agent conversations as they happen and take over when needed. Cresta's Agent Operations Center alerts supervisors when an AI agent needs support and lets them transfer a live conversation without the customer repeating anything.

A complete audit trail

Every decision and tool call should be logged and searchable, so the company can reconstruct what the agent said and did in any conversation. A company will rely on that record whenever a customer disputes an outcome or a regulator asks how a policy was applied.

Independent certification of the vendor

Buyers can't inspect every part of a vendor's AI system themselves, so third-party certification carries weight. ISO/IEC 42001 is the international standard for AI management systems. Cresta became the first contact center AI provider to achieve ISO/IEC 42001 certification, a standard that the Colorado AI Act also references. Robert Kugler, Cresta's head of security, IT and compliance, said "the most important benefit to us is the customer assurance."

Frequently asked questions

Who is responsible for an AI agent in the contact center?

The company deploying it is responsible for what it tells customers. Internally, most organizations assign one accountable executive, usually in CX or customer operations, and split specific decisions among operations, IT, security and compliance.

Do AI agents have to tell customers they are AI?

In the EU, yes. Since August 2, 2026, Article 50 of the EU AI Act has required AI systems that interact with people to make clear they are AI unless it is already obvious. Requirements elsewhere vary, so companies should check the rules in each market they serve.

Can a company be held liable for what its chatbot says?

Yes. In 2024, a Canadian tribunal held Air Canada responsible for inaccurate fare information its website chatbot gave a passenger, finding that a company is responsible for its chatbot's statements just as it is for the rest of its website.

What controls should a contact center put around AI agents?

At a minimum, scoped access to tools and data, clear AI disclosure with an easy route to a person, testing before every change, live supervision, a complete audit trail and independent certification of the vendor's AI management practices.

What is ISO/IEC 42001?

ISO/IEC 42001 is the international standard for AI management systems. It covers how organizations develop, deploy and maintain AI responsibly. Cresta was the first contact center AI provider to be certified against it.