Meet Matthew: The Honest AI Transforming the Contact Centre

A lot of the industry is currently obsessed with building AI that can do everything. Every vendor wants to promise you a digital agent that is a psychologist, a lawyer, a clinician, and a customer service rep all rolled into one.

“

At CloudInteract, we took a fundamentally different approach. We built Matthew.

Matthew is our new Agentic AI designed specifically for Amazon Connect Customer. But his defining feature isn't what he can do—it's what he knows he can't do.

CloudInteract Engineering·Design Philosophy

The Problem with "Know-It-All" AI

The reason many organizations are hesitant to deploy voice and chat AI into their live contact centres isn't a lack of desire; it's a lack of trust. Traditional conversational AI (and many early Generative AI models) suffer from a critical flaw: when they don't know the answer, they try to guess. In a clinical setting, a financial environment, or an enterprise retail scenario, a guess is a liability.

That's why we engineered Matthew with Boundary Awareness.

Matthew operates with a defined set of "guardrails." He knows exactly what actions he is authorized to perform (like looking up an order, cancelling a booking, or checking symptom criteria against an approved CMS). More importantly, the absolute millisecond a customer query crosses outside of his boundary into complex, unapproved, or nuanced territory, he stops trying to solve it and instantly escalates the interaction to a human agent—along with a complete, summarized history of the call.

He is the Honest AI.

Beyond Q&A: True Agentic Autonomy

Matthew isn't a search engine masked as a voice bot. He is an Agentic AI, meaning he holds the keys to take actions on behalf of the user.

By natively integrating with your existing CRM infrastructure (whether that's Salesforce, Zendesk, or Pega in healthcare), he can execute secure API transactions.

• He securely verifies caller identity.
• He reads from complex, unstructured knowledge bases to find specific policies.
• He takes action: modifying dates, issuing refunds within thresholds, scheduling appointments, or securely processing payments.

He does all of this natively within Amazon Connect Customer, meaning there is no disjointed hand-off if a human needs to step in.

Multilingual Fluency as Standard

Matthew is natively fluent in multiple languages. He can switch between English, Spanish, French, and Mandarin mid-sentence without missing a beat, meaning you can provide 24/7 global support with zero additional language-service overhead.

The True ROI of a Digital Colleague

When we talk about the return on investment of deploying Matthew, we aren't talking about replacing the human workforce. We are talking about elevating them.

Start at 10 to 20% automated resolution of suitable contacts, growing to 30 to 40% in mature operation. Higher figures depend on transactional back-end access. When Matthew is autonomously resolving suitable transactional interactions like password resets, delivery status checks, and basic appointment scheduling, your human agents are freed from the "clipboard" work.

By starting at 10 to 20% automated resolution of suitable contacts and growing to 30 to 40% in mature operation, your staff can focus their energy on what humans do best: empathy, complicated problem solving, and building actual relationships with your customers or patients.

Every contact centre needs a Matthew.

Want to hear him in action? Join us at the AWS Life Sciences Symposium or reach out to our team to hire your very own digital agent today.