Latest in Greyhound Fieldnotes: API-First Architectures and AI Trust Pressures in a U.S. Bank

Описание: As financial services leaders accelerate their shift toward real-time experiences, many are finding that modern APIs are only as good as the trust architectures behind them. In this Greyhound Fieldnote, we unpack how a top U.S. bank—despite investments in core modernisation and open banking—is facing pressure from both regulators and product teams to rebuild its approach to explainability in AI outputs.

This is no longer about tech stack upgrades. It’s about whether banks can future-proof their transformation by embedding auditability, lineage, and transparency into every decision system. With generative AI now touching risk, compliance, and credit, the cost of acting on opaque algorithms is no longer theoretical—it’s systemic.

In this episode, Greyhound Research dissects:
00:00 – Introduction
00:19 – The Client
00:56 – The Enquiry
01:48 – Greyhound Standpoint
02:53 – Greyhound Advisory
04:27 – If This Sounds Familiar
05:04 – Analyst In Focus – Sanchit Vir Gogia
05:44 – Greyhound Research Copyright Policy

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