
Governing AI in the Finance Function: SOX, Controls, and Auditable Decisions
When AI touches a number, it touches ICFR AI is entering the finance function through the close, reconciliations, accruals and
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Accelerate production, eliminate downtime, and defend your OT infrastructure with defense-grade AI solutions engineered for manufacturing environments from EV gigafactories to precision pharma plants.
































IT Consulting · Data · AI/GenAI/ML · Process · Cloud · Cybersecurity
CMMI Level 3 certification means PiTech’s processes are defined, documented, proactively managed, and consistently applied across every project — the same standard required for sensitive government and defense work
PiTech brings defense-contractor discipline to manufacturing AI bridging the gap between AI pilots and production-ready smart factory deployment.
AI built for real-world factory floors. Practical, compliant, designed to deliver ROI within months not years. We close the 78-point gap between AI exploration and AI readiness.
Military security protocols from DHS and DoD engagements, adapted to defend converged IT/OT factory networks against nation-state ransomware and AI-powered cyberattacks.
From day-one AI architecture for new EV gigafactories to modernizing legacy plants PiTech's methodology scales to your facility's exact maturity and technology environment.
Every engagement starts with an enterprise architecture blueprint defining security layers, integration points, and a phased roadmap before a single system is touched.
Defense-contractor delivery discipline applied to every smart factory engagement from OT security to agentic production systems.
Discover fresh perspectives with our collection of industry-focused blogs.
Two memos set the federal AI baseline On 3 April 2025, the Office of Management and Budget

When AI touches a number, it touches ICFR AI is entering the finance function through the close, reconciliations, accruals and

Where insurance regulators focus hardest Of all the ways insurers use AI, underwriting and pricing draw the sharpest regulatory attention,

The model that is not on the model list Fintechs tend to inventory their machine-learning models and miss the rules
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