In this episode, we step outside the walls of the organisation and explore how external trust becomes a growth lever for AI. Using the three lenses of Assure, Explain, and Control, Vishal unpacks how frameworks from ISO and the EU AI Act are shaping the market’s expectations of risk, transparency, and governance. You’ll hear why assurances turn “trust us” into “audit us,” why transparency notes and data provenance lower adoption friction, and why serious-incident pathways build resilience before a crisis. And most importantly, how small visible artefacts move real outcomes from shorter sales cycles to higher adoption.

References:

1) AI Risk Management Framework (AI RMF 1.0): https://www.nist.gov/itl/ai-risk-management-framework

2) ISO/IEC 23894:20 23 Information technology — Artificial intelligence — Guidance on risk management: https://www.iso.org/standard/77304.html

3) ISO/IEC 42001:20 23 — Information technology — Artificial intelligence — Management system: https://www.iso.org/standard/81230.html

4) EU Artificial Intelligence Act: https://artificialintelligenceact.eu/the-act

Music Credit: Switch It Up, performed by Silent Partner, from the YouTube Studio Audio Library