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.

Definitive 140-Point AI Architecture Audit

Comprehensive technical validation covering safety guardrails, infrastructure SLAs, and SOC2 readiness.

140-Point Architecture Checklist

Rigorous evaluation across model safety, API throttling, error recovery, data privacy, and monitoring pipelines.

140-Point Audit Comprehensive

SOC2 Evidence Generation

Generates technical evidence packages detailing PII protection, access control logs, and encryption verification.

SOC2 Evidence Audit Ready

LangSmith Observability Sync

Validates real-time tracing infrastructure to ensure every production LLM turn is logged and monitored.

LangSmith Full Observability

Failover Redundancy Check

Verifies multi-region cloud deployment and multi-model fallback chains to prevent single-point outage failures.

Multi-Region Zero Downtime

Production Readiness Audit Lifecycle

From initial 140-point assessment to certified production deployment in 30 days.

01 Phase 1

140-Point Audit Kickoff

Review architecture diagrams, inspect codebase, analyze API endpoints, and map compliance targets.

02 Phase 2

Deep Technical Review

Execute security vulnerability scans, test failover mechanics, evaluate observability logging, and profile latency.

03 Phase 3

Remediation & Hardening

Deliver prioritized vulnerability remediation matrix, assist in fixing architecture flaws, and re-test fixes.

04 Phase 4

Production Certification

Issue formal Production Readiness Certificate and deliver complete SOC2 compliance evidence package.

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.

Academic & Core Methodology Sources

Acadify's laboratory methodologies are strictly grounded in peer-reviewed computer science and foundational AI research from leading institutions to ensure enterprise-grade safety and reliability.

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