The AI in Business Podcast Building Trustworthy AI for Enterprise Workflows - with Amar Akshat of PaySafe
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Apr 21, 2026 
Amar Akshat, SVP and Chief Architect at Paysafe who builds enterprise-grade AI systems with guardrails. He explores the consistency gap in production AI. He discusses versioned prompts, replayable evaluation, Know Your Agent policy envelopes, auditable agent decisions, and how to codify context to avoid shadow AI and ensure deterministic behavior.
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Consistency Gap Breaks Enterprise Trust
- Trust in enterprise AI collapses when predictability and determinism disappear.
- Amar Akshat calls this the consistency gap and blames immature wrappers and pipelines around LLMs more than LLM quality.
Embed Guardrails And Version Prompts Early
- Embed guardrails and evaluations early rather than as production afterthoughts.
- Use versioned prompts, replayable datasets, thresholded guardrails and fail-fast logic to ensure deterministic, auditable outcomes.
Blocked Access Drives Shadow AI
- Blocking access creates shadow AI and reduces visibility into important workflows.
- Amar warns blocked access drives developers to build shadow solutions that later become hard to qualify for production.