Where Does Your Data Go When AI Answers the Phone? The Honest Picture.

Your customer calls your business. An AI voice agent picks up. During the conversation, the customer mentions their name, their account number, and maybe even the issue they're having with your product.

Where does that information go, exactly? Who has access to it? Does it stay in Canada? And is it compliant with the law?

These are legitimate questions. And if you ask some AI voice agent providers, you'll get vague answers or claims that sound too good to be true. This article cuts through the noise in plain language.

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You don't need to be an engineer to understand this. Here's what happens when a customer speaks to an AI voice agent - simplified.

The phone call passes through a telephony infrastructure. That's the system that connects your customer's phone number to the AI agent's system. With some providers, this infrastructure is in Canada. With others, it routes through American providers like Twilio.

The customer's voice is sent to an artificial intelligence model to be understood and analysed. This is the agent's brain. The most widely used models are those from OpenAI (ChatGPT), Google (Gemini), and Anthropic (Claude). These models run on servers located primarily in the United States.

The agent's response is generated by that same model, then converted to speech and sent back to the customer through the phone network.

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When we say data "passes through" American servers, what does that actually mean?

It means that during the duration of the call, the voice content is processed on servers in the United States so that the AI can understand what the customer says and formulate a response. Once the call is over, what remains depends on the AI provider.

OpenAI, Google, and Anthropic all have clear policies on this. In API mode - the mode used by businesses, not the consumer-facing mode - these providers generally commit to not using your data to train their models. The audio is processed to generate a response, then it is not retained long-term.

Which means your data is not "stored in the United States" permanently. It transits through American servers for the duration of processing. That's an important distinction.

That said, you have to be realistic. During that transit, the data is technically on an American server, and it is therefore subject to American law - including the CLOUD Act, which allows U.S. authorities to request access to data held by American companies.

Will the FBI be listening to the technical support calls of your SMB in Longueuil? No. But the legal framework technically allows it in theory, and that's a reality worth knowing about.

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Quebec's Law 25 - also known as Bill 64, or the Act to modernize legislative provisions respecting the protection of personal information - is the Quebec law that governs how businesses handle their customers' personal data. All of its provisions have been in force since September 2024.

In summary, it requires three things:

Consent. You must obtain clear consent from the individual before collecting their data, and explain why you are collecting it.

Protection. You must protect the data and limit access to people who need it.

Individual rights. The person has the right to know what data you hold about them, to have it corrected, and in some cases to request its deletion.

Does every SMB that uses ChatGPT, Zoom, Salesforce, Google Workspace, or any other American SaaS tool conduct this assessment? Probably not. But the law requires it, and it's important to know that.

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This is where it gets interesting. In the Quebec AI voice agent market, you'll see claims like:

"Data 100% hosted in Canada."

"Fully Canadian infrastructure."

"Your data never leaves the country."

Ask one simple question: what AI model does your agent use?

If the answer is OpenAI, Gemini, Claude, or any major language model, the data passes through American servers during processing. Full stop. There is no "Canadian" version of GPT-4 running in a data centre in Montreal.

What these providers probably mean is that their own infrastructure - the telephony, the CRM, the database, the recordings - is in Canada. And that may well be true. But the core of the system - the AI model that understands and generates responses - is at OpenAI in San Francisco, at Google in Mountain View, or at Anthropic in San Francisco.

We say this knowing it applies to us too. InstantCallR's telephony infrastructure is proprietary and hosted in Canada. Recordings, transcriptions, CRM data - all of that stays in Canada. But when the AI agent understands what the customer says and formulates a response, that passes through OpenAI's or Gemini's servers in the United States.

We'd rather tell you that clearly than hide it behind a marketing claim.

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The situation isn't binary between "everything is perfectly secure" and "your data is at risk." Here's what you can control in practice.

Choose a Provider Whose Infrastructure Is in Canada

The telephony, the recordings, the transcriptions, the CRM data. Everything that is stored permanently should be on Canadian servers. That's controllable - and non-negotiable.

Verify the AI Provider's Data Policies

OpenAI, Google, and Anthropic offer API versions with data non-retention commitments. That means your data is processed and then deleted - not stored or used to train models. Ask your AI voice agent provider which version of the API they use and what privacy commitments they have obtained.

Limit What the AI Hears

If your AI voice agent is used for technical support or appointment booking, the information exchanged is rarely highly sensitive. However, if your calls involve credit card numbers, medical information, or detailed financial data, you can configure the agent to transfer those portions of the conversation to a human.

Document Your Approach

Quebec's Law 25 (Bill 64) requires a Privacy Impact Assessment before transferring data outside of Quebec. Do it. Document the risks, the mitigation measures, and your providers' commitments. In the event of an audit, your documentation is what protects you.

The On-Premise Option for Critical Cases

For businesses with strict data sovereignty requirements - financial sector, healthcare, government - the real long-term answer is on-premise deployment. That means the AI model runs directly on the company's servers, in Canada. Data never leaves the client's environment.

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The fear around data and AI is often disproportionate to the actual risks. Let's put things in perspective.

What Is a Real Risk

A provider that uses your data to train its models without your consent. That's why it's important to verify that your provider uses the API versions of these models - not the consumer-facing versions.

Permanent storage of sensitive data on servers without adequate encryption. Ask your provider how data is encrypted at rest and in transit.

A security incident - a breach or a leak - at your provider. Check their security certifications (SOC 2, ISO 27001) and their incident notification policy.

What Is a Perceived Risk but Minimal in Practice

The American government listening to the technical support calls of your SMB. In theory, the CLOUD Act allows it. In practice, American authorities have other priorities than the customer calls of a plumbing company in Quebec.

A hacker intercepting an active call. Connections between your infrastructure and AI servers are encrypted (TLS/SSL). Intercepting a call in transit would require considerable resources for minimal gain.

The Real Elephant in the Room

The reality is that most businesses worried about data sovereignty with AI are already using Gmail, Google Drive, Salesforce, Slack, Microsoft 365, and Zoom. All of these platforms process data on American servers. Some of them contain information far more sensitive than what gets said during a technical support call.

That doesn't mean we should ignore the question for AI voice agents. It means we should treat it with the same pragmatism we apply to all our other tools.

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Is an AI voice agent compliant with Quebec's Law 25 (Bill 64)?

Yes, provided you take certain steps. Law 25 does not prohibit the transfer of data outside of Quebec. It requires that you conduct a Privacy Impact Assessment before doing so, and that the protection offered in the other jurisdiction is adequate. Major American AI platforms offer contractual data protection commitments that are generally considered adequate. Document your approach, and you'll be in compliance.

Are calls recorded and stored in the United States?

It depends on the provider. At InstantCallR, recordings and transcriptions are stored in Canada. Processing by the AI model passes through American servers for the duration of the call, but the content is not retained permanently by the AI provider. Ask your provider for specifics - every configuration is different.

A provider says "100% Canadian data" - is that accurate?

Ask them which AI model they use. If they use OpenAI, Gemini, Claude, or any other major model, data transits through American servers during processing. The "100% Canadian" claim is probably true for their own infrastructure, but not for the AI layer. The only way to have data that never leaves Canada is an on-premise deployment with a locally hosted model.

My business is small. Do I really need to worry about all this?

If your calls involve appointment booking, standard technical support, or prospect qualification, the sensitivity level is relatively low. Take the basic steps - a provider with Canadian infrastructure, an API with data non-retention, documentation of your approach - and you'll be in a solid position. If your calls involve health data, financial information, or legal records, consult a compliance expert.

Do my customers need to know they're talking to an AI?

Quebec's Law 25 (Bill 64) requires transparency about the collection and use of personal data. If the call is recorded or if data is processed by a third party, it's good practice to inform the customer - either at the start of the call or in your privacy policy.

What exactly is the on-premise option?

It's a deployment model where the AI system runs entirely on your company's servers - or in a Canadian data centre of your choosing. No data transits through foreign servers. It's the most secure solution, but also the most complex and costly to set up. It's relevant for businesses with strict regulatory requirements. For most SMBs, the standard measures are sufficient.

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Last updated: April 2026. This article is informational and does not constitute legal advice. For specific questions about your business's compliance with Quebec's Law 25 (Bill 64), consult a legal professional.