AI Compliance Policy Engine powered by Azure OpenAI

From Manual Compliance → Auto Compliance with Azure OpenAI

Move beyond random sampling and manual case-by-case review.
Let AI analyze every interaction – Voice, Chat, and Video and surface high-risk cases for your Compliance team to act on.

Talk to Vasvox View Our Products
AI Compliance Policy Engine

What is AI Compliance Policy Engine?

In simple terms, it is an AI layer that sits on top of all your recorded communications – Voice, Chat, and Video – and uses Azure OpenAI to “read, listen, and understand” whether anything in those interactions may be risky, non-compliant, or requires further review.

It works alongside your existing Recording / Speech Analytics solutions and uses keyword detection, pattern detection, and policy templates to help your Compliance team reduce manual workload and increase coverage to as close to 100% of conversations as possible.

Why is manual compliance alone not enough?

  • • There is a massive volume of communications. In reality, only a “small fraction” can be manually reviewed.
  • • Compliance teams spend valuable time on repetitive tasks – searching files, listening back, taking notes.
  • • Multiple regulations – Dodd-Frank, MiFID II, PCI-DSS, HIPAA, PDPA – overlap, making human-only review prone to gaps and missed cases.
  • • The cost of not being compliant is often higher – including fines, escalated audits, business disruption, and long-term reputational damage.

From Raw Data → Alerts → Digital Evidence

Workflow of AI Compliance Policy Engine on Azure OpenAI

1. Capture All Communications

Compliance Recording captures Voice, Chat, and Video according to your corporate policies.

2. Transcription & Analytics

Speech is converted into text and enriched with sentiment, intent, and interaction structure so that AI can understand the context.

3. Policy Engine & Detection

Keyword detection, pattern detection, and compliance policy templates are applied against frameworks such as Dodd-Frank, MiFID II, PCI-DSS, HIPAA, and PDPA.

4. Alerts & Evidence

High-risk interactions are flagged with transcripts, timestamps, and reasons for detection, becoming digital evidence ready for audit and review.

“Just ask – Azure OpenAI answers”

Your Compliance team can query the system in natural language, for example:

“Show me all cases that indicate potential insider trading in the past week.”
“Summarize high-risk phrases related to aggressive sales tactics this month.”
“List the top 10 PCI-DSS–related interactions with the highest risk scores.”

Example Rules in AI Compliance Policy Engine

Start with standard templates and extend them into policies tailored for your organisation.

Insider Trading Patterns

Detect conversations that reference non-public information such as “not yet announced”, “we know before the market”, or “the price will jump soon”, and patterns linked to the use of undisclosed material information.

High-risk Phrases & Mis-selling

Identify phrases that pressure customers, over-promise returns, or understate risk, such as “don’t worry about the details, I’ll handle everything for you” or “you can’t lose with this product”.

Data Privacy & PDPA / GDPR

Flag conversations where personal data such as national ID numbers or sensitive attributes are shared through inappropriate channels, or where data is requested without a clear lawful purpose under PDPA / GDPR.

PCI-DSS & HIPAA Sensitive Data

Detect exposure of payment card data (card numbers, expiry dates, CVV) and health-related or medical record details in contexts that may breach PCI-DSS or HIPAA requirements.

Built for Global Standards and Regulated Industries

AI Compliance Policy Engine is designed to work with regulatory frameworks that regulated organisations are already familiar with, including:

  • Dodd-Frank & MiFID II for financial services, trading, and investment.
  • PCI-DSS for payment and cardholder data processing.
  • HIPAA for healthcare providers and medical data.
  • PDPA / GDPR for personal data protection and privacy.

The architecture supports On-Premise, Hybrid, and Cloud deployments, following Privacy-by-Design principles and data residency requirements defined by each organisation.

How we protect your data: Security & Trust Architecture →

Ideal for These Industries

Financial Services & Trading
Healthcare & Health Insurance
Contact Centers & Telecom
Government & Regulated Industries

For insurance businesses, you can view the full end-to-end solution here: AI for Insurance

Behavioral Compliance & Script Adherence (New in v2)

In the first generation, the Policy Engine focused mainly on what was actually said. In v2, we extend this into behavioral compliance — detecting moments where an agent should have said something but did not, such as greeting, self-introduction, PDPA disclosure, or customer identity verification, as well as script adherence.

The engine also detects mis-selling behavior and risky phrases, giving Compliance teams and business leaders full visibility into agent communication quality— both in terms of what was spoken and what was missing, backed by audit-ready digital evidence.

When combined with AI Compliance Policy Engine v2, organizations can define policy rules that are directly mapped to real agent behaviors and leverage a Behavior Score to manage communication risk proactively.

Explore Conversation Quality Compliance

Preparing a TOR for PDPA / Compliance Projects?

If your organization is drafting a TOR for Recording Systems, Compliance Solutions, or AI Policy Engine aligned with PDPA or other regulatory frameworks, Vasvox provides a Standard TOR Guideline that you can reference and adapt immediately.

View the Standard TOR Guideline →

Ready to move from Manual Compliance to Auto Compliance?

If you operate under strict regulatory oversight and handle large volumes of communications,
AI Compliance Policy Engine on Azure OpenAI can help reduce risk and increase confidence for your Compliance team.

Talk to Vasvox Email Our Team