AI in Financial Services Podcast How Intelligent Systems Accelerate Enterprise Decisions - with Amar Akshat of Paysafe
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Apr 6, 2026 Amar Akshat, Senior VP of Architecture at Paysafe, brings expertise in enterprise architecture and production-grade AI for payments. He discusses fragmented org memory and how machine-readable decision records speed alignment. He covers intent-driven interfaces, deterministic guardrails, templated workflows, and embedding policy to keep systems fast, safe, and auditable.
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Architecture Is Fragmented Without Shared Org Memory
- Architecture in large firms is fragmented across documents, ADRs, diagrams and trapped memory which slows decisions.
- Amar Akshat calls for a codified, templatized Git-style org memory to connect architectural context and speed decision making.
Align DevOps Pace To Business Goals
- Align engineering speed to business context and goals rather than blaming tools or architects for drift.
- Amar advises balancing rapid delivery with deterministic roadmaps and pausing to fix accrued tech debt when market fit stabilizes.
Paysafe Publishes LLMs.txt To Share System Constraints
- Paysafe exposes an LLMs.txt to give LLMs machine-readable context across distributed payment systems.
- Amar uses a ticket purchase example where wallet, APM and risk systems must agree on identifiers and constraints.