AI Voice Agent explained
An AI Voice agent answers (or makes) a phone call, speaks naturally with the caller, understands what they want, does the work in your business systems, and either completes the call or transfers to the right human with the full context already gathered. Unlike a traditional IVR, the caller does not press 1 for sales. They just say what they want, in their own words, in their own language.
The technology stack is well understood: speech recognition (ASR) to hear, a large language model (LLM) to understand and decide, a knowledgebase to answer accurately, integrations to act, and text-to-speech (TTS) to reply. The hard part is not any single component. The hard part is everything around it - the structured flow, the guardrails, the fallback paths, the Dynamics 365 CRM write-back, the transfer with context, the audit trail, and the tuning after go-live when real callers do things nobody predicted.
Steps for a successful AI Voice implementation
Dynamics 365 CRM is the centre of the design, not an integration added at the end. The caller is identified, the flow is personalised, the actions are recorded - all in CRM.
Structured flow, not free-roaming chat. The AI stays inside a designed conversation with defined states, so it is predictable, testable and auditable.
Any phone system. AI Voice should connect to what you already have - SIP, PSTN, your existing PBX or contact centre - so you do not have to replace your telephony to get AI voice.
On-premises option. For regulated customers, the entire voice pipeline can run inside your own network.
Deep call audit. Every call has a full transcript, a step-by-step flow-trace, every system call made, every decision taken and why. Nothing is a black box.
Real engineers on support. Non-automated support from the same people who built your flow.
On-premises option. For regulated customers, the entire voice pipeline can be run inside your own network.
Deep call audit. Every call has a full transcript, a step-by-step flow-trace, every system call made, every decision taken and why. Nothing is a black box.
Real engineers on support. Non-automated support from the same people who built your flow.
Use Cases
Inbound
AI receptionist - answer every call in seconds, identify the caller from Dynamics CRM, route to their owner, take a message into Dynamics 365 CRM if nobody is free.
Customer support triage - identify the issue, answer it from the knowledgebase if it is answerable, create a fully populated case if it is not, and transfer with context if it is urgent.
Order and delivery status - looked up live in Dynamics CRM and and read back to the caller.
Appointment booking, confirmation and rescheduling - written straight into the owner's calendar.
Lead capture and qualification - inbound enquiries qualified against your criteria and created as assigned leads in Dynamics 365 CRM, 24 hours a day.
Replacing the IVR menu tree - callers say what they want instead of pressing 4 then 2 then 1.
Out-of-hours and overflow cover - no call goes unanswered at 7pm or during a spike.
IT and HR helpdesk - password resets, system status, leave balances, policy questions.
Account and billing enquiries - balance, last payment, invoice copies, payment arrangements.
Outbound
Appointment and delivery reminders, with the option to confirm or reschedule on the call.
Renewal and contract expiry calls driven from Dynamics 365 CRM dates.
Overdue invoice and payment reminders.
Post-service satisfaction surveys, with results and sentiment written to the Dynamics 365 CRM record.
Lead follow-up and re-engagement of dormant contacts.
Incident and outage notification to affected accounts, selected by Dynamics 365 CRM view.
AI Voice integrated with Dynamics 365 is our USP. Dynamics Telephony AI Voice queries before the AI speaks its first word, and it is updated continuously during the call, not in a batch afterwards. Every branch of the conversation can depend on Dynamics 365 CRM data, and every outcome can be written back to Dynamics 365 CRM.
Watch role play video of AI Voice receptionist
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