Front pagesponsored · Heedify
CX AI24m · 10:31 GMT · 4 min read
How a Teams-Native AI Receptionist Makes Automation Feel More Human
As Voice AI takes on a more active role in customer service, organizations must define where it can act independently, where employees add value, and how both can work together within Microsoft Teams to reduce customer effort without creating disconnected experiences
Organizations adopting Voice AI need a practical path from basic call handling to service automation that can act within established systems.
After addressing the operational challenges of connecting Voice AI to Microsoft Teams, they must now decipher what makes an interaction responsive and useful.
To ensure success with the technology, CX leaders should stop assessing its quality on autonomous resolution alone.
Mefteh Werghemmi, CEO & Co-founder ofHeedify, spoke to CX Today about the importance of setting clear boundaries for Voice AI automation.
“Every business has its own specific edge cases, and they are not always as rare as they may seem,” he said.
“If even 5% of customers are unhappy because an escalation is poor or happens at the wrong time, that represents a significant number of customers receiving a bad experience.”
The Value of Useful Dialogue
Today, voice AI is only as effective as its ability to resolve customer needs with minimal effort.
This includes understanding the request and retrieving relevant information whilst ensuring that decisions are made in accordance with defined business rules and that appropriate action is taken.
Defining clear boundaries allows AI to resolve appropriate requests independently, while requiring additional verification or human intervention when necessary.
For regulated organizations, authentication, data access, and AI agent actions require additional controls without limiting opportunities to automate routine services.
“By automation, we mean a voice agent that can take action in the system and solve the customer’s problem, not simply provide information,” Werghemmi explained.
The system must understand the request, retrieve relevant information, make decisions in accordance with defined business rules, and take appropriate action.
In fact, conversational LLMs can make these interactions more flexible by asking follow-up questions, seeking clarification, and responding to the context of the conversation.
“The voice agent can ask follow-up questions and respond naturally, rather than following a rigid, robotic script,” he noted.
These capabilities allow AI to complete tasks within existing business systems, reducing the need for human intervention in straightforward cases.
Rather than imitating employees, AI must ensure routine service feels clear, responsive, and capable of producing a useful outcome.
Transparency remains essential, however. As Werghemmi noted:
“The experience can feel so human that organizations need to make clear from the outset that the customer is speaking with AI.”
Customers should understand when they are interacting with AI and have a clear route to further help when needed.
Introducing One Connected Service Layer
Heedify AI Receptionist acts as a solution to automate the first point of contact, turning service demand into a more responsive experience.
Connected to a knowledge base, this product can respond to frequently asked questions using CRM integrations to identify callers and access account details.
“Connecting Voice AI to the CRM gives it access to the caller’s identity, location, customer history, and any open tickets or requests, an important first step toward more relevant service,” Werghemmi said.
Alongside Heedify’s Microsoft Teams-native contact center, the AI receptionist can connect automated interactions with human teams.
Shared call handling, queues, and routing allow the AI to direct requests requiring human assistance to the appropriate person or queue, while passing along relevant interaction details.
This integration has reached an important milestone: Heedify AI Receptionist is among the first solutions certified for Microsoft’s Teams Unify Integration Model for voice agents, which enables third-party voice agents to work with Teams Phone, routing calls to users or queues while preserving caller context.
Microsoft Teams presence can also help identify available employees for a timelier handover.
“When organizations use Teams Phone and a Teams-based contact center, they can keep customer information and communications within the same platform,” he explained.
For IT teams, separate tools and workflows become less necessary, while giving CX leaders a clearer view of how automated and human service work together.
Shared reporting also supports continuous improvement, helping organizations track how many calls are resolved autonomously and where handovers or resolutions fall short.
Werghemmi emphasized to leaders:
“By keeping both sides of the service operation on the same platform, organizations can report on AI and human interactions together, including how calls move between Voice AI and employees.”
This visibility helps teams identify where automation works well and where its rules, knowledge or escalation processes need refinement. For partners and system integrators, a Teams-native model also offers a way to add customer experience capabilities to a Microsoft environment their customers already use.
For those intending to succeed with Voice AI, success now depends on establishing an effective division of work between AI and employees.
Heedify’s own approach gives organizations a practical starting point for achieving this. When the AI receptionist and human contact center operate as one connected service, organizations can manage the journey from the first customer question through to human resolution and ongoing improvement.
