SUBODH KC

AI Advisor & AI Systems Architect

Program leadership, production AI systems, manufacturing reliability, and technology commercialization

Dallas-Fort Worth, TX

Professional Background

Subodh KC is an AI advisor and AI systems architect with experience across technology, program and portfolio leadership, digital transformation, product development, continuous improvement, and production AI systems. He turns AI ambiguity into possibilities, evidence-backed decisions, and systems organizations can actually operate.

His career has been built from the operational level up. He has worked across public-sector technology, manufacturing systems, production reliability, small-business transformation, enterprise software, and artificial intelligence. That range gives him a practical understanding of transformation from both sides: what leadership expects from an investment and what engineering and operations must do to make it work.

At HP, Subodh led complex enterprise technology programs across a portfolio of 53 applications and more than 100 stakeholders. His work brought together product, engineering, quality, operations, vendors, risk functions, and senior leadership. His responsibilities included portfolio planning, program execution, dependency management, release readiness, risk management, stakeholder alignment, executive communication, and continuous improvement across large-scale technology environments. He was promoted from Technical Program Manager to Sr. Program Manager during his tenure.

Earlier in his career, he worked in manufacturing technology and reliability engineering, including Manufacturing Execution System environments supporting more than 400 production stations. He has also worked with small and midsized businesses across Dallas-Fort Worth on technology implementation, business process improvement, automation, and program delivery. His experience at Louisiana Tech University's Office of Intellectual Property & Commercialization added exposure to invention assessment, intellectual property, market opportunity, and technology commercialization.

Subodh is also a founder and hands-on builder of applied AI systems. He created HAIEC, an AI assurance and governance platform focused on evaluation, controls, evidence, monitoring, and responsible deployment. He also built Kestrel Voice, an AI communications and workflow platform that combines voice agents, business knowledge, scheduling, automation, integrations, escalation, and operational controls. His open-source and research work includes llmverify and multiple patent-pending systems related to AI assurance, behavioral drift, traceability, compliance automation, and system monitoring.

His work today sits at the intersection of enterprise AI strategy, AI transformation, program and portfolio management, operating-model design, product and platform strategy, continuous improvement, technology commercialization, and AI governance.

Subodh holds a B.S. in Computer Information Systems and an M.S. in Engineering and Technology Management from Louisiana Tech University. He is a Six Sigma Green Belt with additional education in AI ethics and governance.

Based in Dallas-Fort Worth, Subodh advises leaders, founders, and technical teams on AI opportunity discovery, decisions, and architecture while building tools that make AI systems more observable, testable, and defensible. He is most effective in complex environments where strategy must become execution, multiple teams must move together, and new technology has to deliver measurable business value without losing operational discipline.

Areas of Expertise

AI Governance & Compliance

Enterprise AI oversight aligned to EU AI Act, GDPR, NIST AI RMF, and NYC Local Law 144

Model documentation, risk scoring, and audit automation

Drift detection and behavioral monitoring for production AI systems

Governance structures for multi-application enterprise ecosystems

Enterprise Program & Portfolio Leadership

Led 53 enterprise applications across education, manageability, and conferencing portfolios at HP

50+ AI programs delivered with $50M+ in portfolio oversight

Cross-functional alignment across 100+ stakeholders, vendors, and senior leadership

Dependency management, release readiness, and continuous improvement at scale

Systems Architecture & Reliability

Designed AI systems serving enterprise scale across Fortune 50 platforms

Built traceability, explainability, and compliance fingerprinting layers

Manufacturing Execution System experience across 400+ production stations

Operational risk, regulatory enforcement, and system integrity

Product Development & Commercialization

Founder of HAIEC (AI governance) and Kestrel Voice (AI communications)

Open-source tools including llmverify for LLM verification

Invention assessment and intellectual property evaluation experience

Technology commercialization from university research to market

Career Highlights

HP Inc. (Fortune 50) - Technical Program Manager → Sr. Program Manager (Promoted)

2022 - 2026

Joined HP as Technical Program Manager in 2022, promoted to Sr. Program Manager - AI Implementation & Governance in 2025. Led enterprise technology programs across a portfolio of 53 applications with 100+ stakeholders. Coordinated across product, engineering, quality, operations, vendors, risk functions, and senior leadership.

Key contributions:

  • Orchestrating enterprise-wide AI rollouts with 100+ stakeholders
  • Managing a combined $50M+ AI and technology portfolio
  • Developing five patent-pending compliance and drift frameworks
  • Reducing audit preparation from months to weeks
  • Leading TPMs across education, manageability, and conferencing ecosystems

HAIEC - Founder & Chief Architect

2020 - Present

Built HAIEC as an AI assurance and governance platform focused on evaluation, controls, evidence, monitoring, and responsible deployment. The platform introduced an AI Governance Execution Framework with six operational functions, a forensic audit toolkit for compliance blind spots, and modernization pathways for legacy systems.

Used by enterprise teams to turn regulatory pressure into operational maturity.

Kestrel Voice - Founder

2023 - Present

Built an AI communications and workflow platform combining voice agents, business knowledge, scheduling, automation, integrations, escalation, and operational controls. The platform confronts real deployment challenges: latency, integration failures, customer expectations, data boundaries, and knowing when automation should hand responsibility back to a person.

Earlier Technical Roles

ACTIVE Network - System Engineer II: Release automation, QA, incident workflows

Cummins (via TCS) - System Analyst: $10M MES implementation, 400+ stations deployed

Centaurus - Business Systems Analyst: Red Hat & AWS platform delivery

Louisiana Tech University - IP Strategist: Invention assessment and commercialization

Dallas ISD - Field Ops Lead: Technology modernization in education environments

Quantified Impact

53

Applications Governed

50+

AI Projects Delivered

$50M+

Portfolio Oversight

100+

Stakeholders Aligned

5

Patent-Pending Frameworks

400+

MES Stations Deployed

50+

AI Programs Delivered

2

Companies Founded

Patent-Pending Frameworks

Adversarial Project Twin

Drift and sabotage simulation framework that identifies AI system vulnerabilities before production deployment.

Precision Drift Detector

Numerical anomaly detection system for AI model performance monitoring. Identifies behavioral drift patterns before they affect business outcomes.

AI Compliance Twin

Real-time regulatory enforcement engine that validates AI systems against EU AI Act, GDPR, and sector-specific compliance requirements.

Modular Audit Engine

AI fairness and transparency scoring system with modular architecture. Provides evidence-grade documentation for enterprise deployments.

Compliance Fingerprint Layer

Tamper-evident traceability system for AI decision-making. Creates immutable audit trails for regulatory compliance and forensic analysis.

Education & Credentials, Translated

M.S. Engineering and Technology Management (Louisiana Tech University): the discipline of connecting technology, economic value, and organizational execution. A system that an organization cannot absorb is not a solution.

B.S. Computer Information Systems (Louisiana Tech University): the technical foundation to follow a strategy down into applications, APIs, data, and production, not just talk about it.

Six Sigma Green Belt: root cause over symptoms, variation over anecdotes, measurement over impressions. Baselines, hypotheses, evidence, and honest uncertainty applied to AI decisions.

Additional education in AI ethics and governance.

Cognitive Systems Management (CSM)

Subodh developed Cognitive Systems Management (CSM), a governance methodology with four domains: CSM-Enterprise, CSM-Project, CSM-Code, and CSM-UX. Six execution functions span purpose, mapping, risk, delivery, oversight, and compliance.

CSM 2.0 (spec version 2.0.0) extends the original 2025 publication with machine-readable contracts and 16 governance components for enterprise AI deployment.

Explore the framework →

Personal Note

His name, Subodh, comes from Sanskrit: su (good) and bodh (understanding). He has always treated it as a professional obligation, not just a label.

He started in technology fixing computers in underfunded schools. That work taught him something he carries into every program he leads today: technology succeeds only when it works inside the institution that depends on it. A broken system in a classroom is not an abstract problem. It affects real people trying to do their jobs.

That principle scaled from school districts to manufacturing floors to Fortune 50 engineering organizations. The systems got larger. The stakes got higher. The core question stayed the same: does this actually work for the people who depend on it?

AI adds a new dimension to that question. When a system can make decisions that affect people's lives, the obligation to govern it properly is not optional. Hidden bias, silent drift, and ungoverned automated decisions are not theoretical risks. They are operational failures waiting for the right conditions.

If a system can harm people, it must be governed as seriously as it is engineered.

That is the standard he holds for his own work and the standard he brings to every organization he works with.

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