Verloop.io’s Enterprise Voice AI Is Officially ISO 42001 Certified
Verloop.io’s Enterprise Voice AI Is Officially ISO 42001 Certified
Every outbound AI call sounds exciting in the demo.
But when it comes to the deployment of Voice AI in an enterprise, with real customers, complex workflows and compliance teams breathing down your neck? It’s a different ball game altogether. Now, just speed or efficiency doesn’t cut it.
The product now needs to be safe, scalable, sensitive to PII, and built to hold up under any scrutiny, all at the same time.
At Verloop.io, we’ve spent the last few years building Voice AI for exactly these environments. A system that helps you deliver the most natural, reliable conversations at scale whilst meeting enterprise standards on data control, PII sensitivity, auditability, and scale.
And it’s exactly why Verloop.io is now officially ISO/IEC 42001 certified. This is the first international standard for building and governing responsible AI systems. We, at Verloop.io, are proud to be among the first few to bag this certification, setting standards for enterprise-grade security for responsible voice AI.
But what exactly does this mean for you? Let’s first understand more about this standard.
What Is ISO 42001? (And Why It Matters Now)
ISO/IEC 42001 is the world’s first international standard focused entirely on the management of AI systems.
It provides a framework for how organisations should develop, deploy, monitor, and improve AI responsibly. This includes setting clear policies, defining accountability, managing risk, and ensuring transparency across the entire lifecycle of an AI system, from design to deployment.
Unlike traditional standards, ISO 42001 is purpose-built for AI. It addresses the dynamic nature of AI behaviour, the risks around bias and fairness, and the complexity of model-driven decisions that evolve over time.
What are the requirements for the ISO 42001 certification?
The standard outlines requirements across key areas like:
- Data quality and training inputs
- Risk and impact assessment
- Transparency and explainability
- Ongoing monitoring and auditability
- Human oversight and fallback mechanisms
In short, ISO/IEC 42001 doesn’t just ask whether your infrastructure is secure. It questions whether your entire AI operation is responsible, explainable, and safe to scale.
But why is this standard so important now?
92% of enterprises plan to increase investments in GenAI between 2025 and 2027.
But while adoption has almost hit the ceiling, governance hasn’t yet kept pace.
In most organisations today, AI systems are being deployed faster than they’re being understood and governed.
McKinsey’s March 2025 analysis found that financial services firms face average penalties of $35.2 million per AI compliance failure.
The most common causes? Poor controls around sensitive training data and a lack of oversight on model outputs.
This is where ISO 42001 comes in to the rescue.
Why Verloop.io Got ISO 42001 Certified?
For us, ISO 42001 wasn’t a box to tick. It was the natural extension of how we’ve always approached building AI voice agents.
When you’re powering live, outbound (or inbound) voice AI calls on behalf of a brand, especially in regulated sectors of enterprises, there’s no room for guesswork.
Every prompt, every output, every decision made at that scale, by a voice AI agent, needs to be explainable, controllable, and safe.
And when you’re operating across high-stakes industries such as BFSI, healthcare, telecom, etc., this expectation isn’t optional. It’s the minimum bar.
That’s why we built systems that could:
- Log every interaction
- Track every LLM output
- Enforce response boundaries and
- Provide human fallbacks wherever needed
We weren’t doing this for compliance. We were doing it because it’s what the product needed to work in production.
Getting ISO 42001 certified was simply about putting an external, global standard behind all of that.
What Verloop.io’s ISO 42001 Certification Means for Enterprise Voice AI?
If you’re deploying Voice AI agents for your enterprise, there are several questions in your mind about compliance.
That’s exactly what ISO 42001 is designed to address. And now that Verloop.io is certified, we can answer those questions with clarity.
Let’s take them one by one.
Is our customer data protected across the stack?
Yes. Your customer data is encrypted, access is restricted, and every use is logged. ISO 42001 requires strict controls on how data is stored, used, and reviewed, and we follow them end-to-end.
What happens when regulations evolve tomorrow?
We monitor regulatory updates and review our systems regularly. ISO 42001 requires this as part of ongoing compliance. When laws change, our processes and controls are updated to match.
How do we prove our Voice AI Agents follow the right governance and controls?
Every action taken by your Voice AI Agents, from input to LLM output to final response, is logged and traceable. With ISO 42001, we follow a documented process for how the system is built, how decisions are made, and how they’re reviewed. This makes compliance reviews and internal audits straightforward.
Can we explain how our AI Agents make decisions?
Yes. Every decision made by the agent can be traced back to the prompt, input, and output. Transparency is a core requirement of ISO 42001. It requires explainability at each step, so we log and review how every response is generated and why.
How do we prevent biased, broken, or off-brand responses?
We constantly retrain our models using real conversations. This includes supervised fine-tuning of LLMs and ML feedback loops to adapt to tone, accuracy, and brand context. ISO 42001 requires regular evaluation of model behaviour. So we audit responses, test for bias, and refine based on production data.
If You’re Evaluating Voice AI Solutions, Start Here
67% of compliance leaders now rank AI governance as a top priority, with growing pressure around transparency, fairness, and data privacy.
Verloop.io’s ISO 42001 certification is proof that our Voice AI meets that bar.
It’s been built with the checks, controls, and safeguards that enterprises need.
If you’re looking to roll out Voice AI that’s built with enterprise-grade security, this is the standard you should start with.
