HAIEC
SaaS · Enterprise
integrated AI Ethics & Compliance. Deterministic governance engine for EU AI Act, NIST AI RMF, ISO 42001, NYC LL144.
From agentic workflows, voice AI, RAG and MCP integrations to AI compliance certifications and enterprise-scale delivery. Subodh Kc, former Fortune 50 AI Strategy CTL, founder of KestrelVoice, founder of HAIEC. Dallas-based.
I help businesses decide where AI is useful, deploy it where it creates value, and put appropriate controls around it. Choose the path that matches your situation.
AI Advisor Desk · $99/month
Stay informed about AI developments relevant to your company, review important AI tools and decisions, and know what deserves action without adding another full-time role.
AI Automation Blueprint · $500 fixed
Find the right AI automation before you pay to build it. One workflow analyzed with tool selection, architecture, cost-benefit, and a clear buy/configure/build recommendation.
CSM 2.0 · Based on the Original 2025 Framework
Four governance domains. Six execution functions. Explicit decisions and evidence.
Version 2 adds deterministic governance contracts, evidence requirements and reassessment rules.
Establish the decision context before projects improvise it.
Question: Who has authority, who owns the outcome and risk, and what organizational boundaries apply?
•Policy Framework
•Risk Assessment
•Data Stewardship
•Strategic Mandate
Gives projects and technical teams clearer organizational direction, ownership and governance boundaries.
Make scaling an explicit decision.
Question: What evidence should justify continuing, changing, scaling or stopping an AI initiative?
•Business Case Definition
•Controlled Testing
•Scale Decision Framework
•Playbook Documentation
Creates a deliberate decision boundary between experimentation and operational commitment.
Keep AI-assisted development accountable.
Question: How should software engineering governance change when AI contributes to implementation?
•Development Standards
•Security Protocols
•Human Oversight
•Traceability Logging
Extends normal engineering review, security and accountability into AI-assisted development.
Keep human judgment connected to the system.
Question: What do humans need to understand, supervise, challenge and appropriately use AI-supported outcomes?
•Impact Analysis
•Explainability Design
•Capability Development
•Adoption Measurement
Connects governance to real human use and creates feedback for improving the wider system.
The domains are governance lenses, not sequential project phases.
Enterprise decisions inform Project criteria.
Project criteria inform Code.
Implementation reality shapes UX.
Operational/user feedback flows back into Project and Enterprise governance.
SaaS · Enterprise
integrated AI Ethics & Compliance. Deterministic governance engine for EU AI Act, NIST AI RMF, ISO 42001, NYC LL144.
SaaS · Production
AI voice operations. Answer every call, book appointments, run the front desk 24/7.
SaaS · Live
Daily AI intelligence for CTOs. Strategic briefings on what shipped, what shifted, what matters.
npm · MIT
Runtime health monitor for LLM apps. Drift, hallucination risk, latency, JSON quality - drop-in for any client.
PyPI · MIT
Python distribution of llmverify. Audit + compliance checks for LLM outputs, same deterministic core.
OSS · MIT
Automated AI content engine. Fetches news, categorizes with GPT-4o, publishes MDX articles to your repo via GitHub Actions.
Enterprise · SOC 2
Thousands of documents → one chronological timeline. AI extraction for legal discovery, claims, audits.
Desktop · Free
AI detection + permanent redaction of SSNs, cards, names, 50+ PII types. Local processing only.
Web app · Beta
Case files, deadlines, document packets. AI-assisted court evidence builder. Public beta.
Streamlit · Python 3.9+ · Beta
Self-hosted Streamlit app for AI-powered log analysis. Upload logs, get instant anomaly detection and root cause analysis. 100% local.
OSS · Windows
Queue web pages now, print them later. Free Windows app with browser extension.
OSS · MIT
Find unauthorized AI use across your codebase and stack. Telemetry-free, on-premise.
OSS · GitHub Marketplace
Static AI/compliance scan in your CI. Drop-in GitHub Action - fails the build on policy drift.
Private beta
Open-source intelligence layer for HAIEC. Public-signal AI-risk reconnaissance on any org or repo.
OSS · Apache 2.0
Tactical frameworks for decision-making - ResetFrame, PM cheat sheet. Built for high-stakes rooms.
Private beta
AI-assisted patent drafting. Decompose ideas into atomic claims, forge defensible specifications.
complete guides to the AI regulations that matter most - informed by the HAIEC compliance engine and Zenodo-published research.
A Technical Methodology for Tracing AI Accountability Across Nine Abstraction Layers
Nine-layer technical specification for documenting instruction propagation from hardware to outputs. 127-checkpoint audit protocol, cryptographic verification, abstraction-distance risk scoring.
Why Reproducibility Matters More Than Accuracy: A Technical Framework for Compliance-Grade AI Auditing
Presents a deterministic architecture for bias detection that prioritizes reproducibility over algorithmic sophistication. Demonstrates why probabilistic AI models cannot satisfy evidentiary requirements of regulatory compliance. Uses rule-based pattern matching, version-controlled lexicons, and cryptographic evidence generation. 35 pages.
Institutional Lessons from Construction Governance for AI Risk Regulation
Analyzes institutional evolution of construction governance and applies structural lessons to AI risk regulation. Proposes a phased governance maturation model drawing from mechanization, electrification, occupational safety, professional licensing, and insurance enforcement.
A Framework for Production-Grade, Compliant AI
Practical framework for transitioning from AI experimentation to production systems that survive regulatory scrutiny.
A Systematic Analysis
Common architectural and organizational failure modes in enterprise AI adoption, with patterns and counter-patterns.
Four-domain AI governance methodology - now evolved to CSM 2.0
Original publication of the Cognitive Systems Management (CSM) framework: a four-domain governance methodology comprising Enterprise, Project, Code and UX. Current version: CSM 2.0 (spec v2.0.0, 2026-08-10).