The definitive architecture review for enterprise AI.

Deploying AI into production carries immense operational and reputational risk. Our rigorous 140-point architectural audit validates your system's safety guardrails, data anonymization, and infrastructural resilience before a single user interacts with it.

Holistic Readiness Verification

We evaluate every layer of the AI stack, from the foundational model and vector database up through the application layer and API gateway.

Guardrails & Filtering

Verification of input/output filtering mechanisms. We ensure robust implementations of PII masking, toxic content classification, and semantic boundary enforcement.

Observability Infrastructure

Auditing the telemetry stack. We verify that latency, cost-per-token, drift, and user feedback are accurately logged and alert mechanisms are correctly calibrated.

Architectural Resilience

Reviewing API fallback strategies, semantic caching logic, rate limiting, and queueing systems to ensure 99.99% uptime under varied load conditions.

Frequently Asked Questions

Our 140-point audit covers architecture resilience, data sanitization (PII scrubbing), input/output guardrails, API rate-limiting strategies, logging/monitoring setup, and compliance mapping (e.g., SOC2, GDPR).

Any enterprise preparing to launch a generative AI feature (like an internal assistant, an autonomous agent, or a customer-facing chatbot) to production should undergo an audit. It is a critical step to mitigate legal, operational, and reputational risk before exposing the model to real-world interactions.

While we do not act as the final SOC2 or ISO auditor, our audit is designed to ensure your system perfectly aligns with the AI frameworks required to pass those compliance checks. We provide the technical remediation roadmap needed to achieve certification.