Episode

Building Trustworthy AI for Enterprise Workflows - with Amar Akshat of PaySafe

Podcast
The AI in Business Podcast
Published
Apr 21, 2026
Duration seconds
1240
Processing state
not_requested
Canonical source
https://podcast.emerj.com/building-trustworthy-ai-for-enterprise-workflows-with-amar-akshat-of-paysafe
Audio
https://traffic.libsyn.com/secure/techemergence/Amar-Akshat04.18.26.mp3?dest-id=151434
JSON
/v1/public/podcasts/the-ai-in-business-podcast-168928/episodes/building-trustworthy-ai-for-enterprise-workflows-with-amar-akshat-of-paysafe
Markdown
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Summary

The consistency gap in enterprise AI represents a critical failure point where unpredictable system behavior outside of controlled demos threatens to derail executive sponsorship and regulatory compliance. In this episode, Amar Akshat, SVP & Chief Architect at Paysafe, examines how leaders can move beyond experimental shadow AI by embedding determinism and high-threshold guardrails directly into the production pipeline. The discussion outlines a rigorous evaluation framework centered on treating prompts as versioned intellectual property, implementing Know Your Agent (KYA) policy envelopes, and ensuring every agentic decision remains holistically auditable. Learn how brands work with Emerj and other Emerj Media options at https://go.emerj.com/partner