Research

AI Research

Deep dives into AI engineering, governance, and deployment — from production architecture patterns to regulatory compliance frameworks. Written by practitioners who build and ship AI systems for regulated industries.

Articles

From the lab

June 2025

The AI Graveyard: Why Enterprise Models Die in Production

Most enterprise AI models never make it past the pilot phase. We examine the systemic reasons — from data pipeline fragility to governance gaps — and what it takes to build models that survive deployment.

EnterpriseProductionMLOps
May 2025

Citation Verification for AI-Generated Compliance Content

Regulatory content demands precision. We present a framework for automatically verifying AI-generated citations against source documents, with cryptographic receipts that stand up to auditor scrutiny.

ComplianceRAGGovernance
April 2025

Enterprise Models: Why On-Premise Still Wins

Despite the cloud AI boom, on-premise deployment remains critical for regulated industries. We explore the technical, security, and compliance reasons why local infrastructure is the right choice for enterprise AI.

InfrastructureSecurityEnterprise
March 2025

Multi-AI Review: The Future of Technical Documentation

When multiple AI models independently review and critique technical content, the result is documentation with fewer errors, better coverage, and higher trustworthiness than any single-model approach.

Multi-ModelDocumentationQuality
February 2025

OSCAL for Practitioners: Automating FedRAMP

OSCAL (Open Security Controls Assessment Language) promises machine-readable compliance. We show how to use AI to generate, validate, and maintain OSCAL artifacts — dramatically reducing FedRAMP preparation time.

ComplianceOSCALFedRAMP
January 2025

Why Smaller Models Win for Enterprise

The largest models aren't always the best choice. We make the case for smaller, fine-tuned models that deliver better accuracy, lower latency, and simpler governance for domain-specific enterprise use cases.

Model SelectionFine-TuningEnterprise
December 2024

The Specialist Fleet: Multi-Model AI Architecture

Instead of one general-purpose model, what if you deployed a fleet of specialized models — each expert in its domain? We present the architecture, orchestration patterns, and real-world results from running multi-model AI in production.

ArchitectureMulti-ModelProduction

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