What is the intersection of AI and compliance? What about Machine Learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today I visit with Kunal Dankadara, CEO and co-founder of HAAST, about using AI to help regulated organizations scale compliance as content volume explodes and regulatory scrutiny increases.
Kunal, a former attorney and ex-BCG consultant, describes how manual marketing and public-content review once worked when content cycles were slower, but is now overwhelmed by AI-driven content creation, channel proliferation, and personalization. He explains that many compliance decisions are subjective and tied to organizational risk tolerance, which HAAST “teaches” to AI agents to provide first-line content review, reduce iterations, and route only gray-area items for human approval. The discussion covers managing “false positives” via risk-tolerance tuning, creating competitive advantage through speed-to-market and personalization, using an ROI calculator focused on business outcomes, and making regulatory changes more actionable across the business.
Key Highlights
- Why Manual Review Broke
- Why AI Fits Compliance
- Scaling Risk Tolerance
- Handling False Positives
- Compliance as Advantage
- Speed to Market Examples
- ROI Calculator Explained
Resources:
Haast
- Website: Haast Website
- LinkedIn: Haast LinkedIn
Tom Fox