Customer problems don't clock out at 5 p.m. Contact centres often do. That gap, between the last agent logging off and the first one back online, can leave customers waiting for answers, support requests building up and unresolved issues carrying into the next day.

For contact centres, the challenge is not simply providing more support. It is providing support when customers actually need it, without requiring an agent to be available for every interaction.

Why contact centres struggle to provide 24/7 support

Customer queries do not follow contact centre opening hours. A customer might need help late at night, over a weekend or outside the hours when an agent is available.

Providing human support around the clock, however, comes with its own challenges. Contact centres need enough agents to cover different shifts, manage periods of higher demand and maintain service levels without carrying the cost of a fully staffed team when interaction volumes are low.

That makes 24/7 support difficult to scale. Extending opening hours can lead to higher staffing costs, more complex shift planning, and additional pressure on teams, even when the number of customer interactions outside normal hours is relatively small.

Traditional automation can help fill some of that gap, but it often relies on predefined journeys and scripted responses. When a customer's question falls outside those journeys, the interaction still needs to be routed to a human agent.

The bigger challenge, then, is not simply being available around the clock. It is finding a way to provide useful support 24/7 without making every customer interaction dependent on a human agent.

Moving beyond scripted automation

Traditional automation is useful for handling simple, predictable requests, but it can become limited when a customer's question does not fit neatly into a predefined journey.

MAIA takes a different approach.

It is an agentless AI conversation platform designed to handle customer interactions without a human agent being involved in every conversation.

Rather than relying on a fixed decision tree, MAIA uses AI to understand what the customer needs and respond in real time.

That means a customer can receive an answer without waiting for an agent to become available, while the contact centre can reserve human support for interactions that genuinely require it.

What happens when a customer needs a human?

Not every customer interaction should be handled by AI.

When a conversation genuinely requires human support, MAIA can identify the need for escalation and hand the interaction to an agent with the conversation context transferred.

The agent can therefore pick up where the conversation left off rather than asking the customer to explain the issue again.

When human intervention is not required, MAIA can continue handling the interaction without escalation.

This creates a more flexible approach to customer support: AI handles the interactions it can resolve, while agents remain available for the conversations where their involvement adds the most value.

How does MAIA fit into an existing contact centre?

Introducing AI does not necessarily mean replacing the technology a contact centre already relies on.

MAIA is designed to plug into an organisation's existing technology stack rather than requiring a complete rip-and-replace implementation.

This means organisations can introduce agentless AI alongside their existing contact centre infrastructure without making the customer experience dependent on a separate system.

The result is a model where AI becomes another part of the existing customer journey rather than a replacement for the contact centre itself.