SUBODH KC · AI ADVISOR + AI SYSTEMS ARCHITECT

Enterprise AI Advisor &
AI Systems Architect.

Turn consequential AI decisions into defensible operating choices.

I expose hidden constraints and opportunities, pressure-test material investments, and translate qualified decisions into systems, controls, and evidence an organization can operate.

Start a Diagnostic →Discuss an Executive DecisionInspect Selected Work
fig.01 - action & access preview
Synthetic demonstration

AI Action & Access Map

One request, two operating boundaries, one material difference.

ACCESS CHANGE / v1
Material divergenceThe system can reach a stronger action than the organization approved.
16+
years
software, infrastructure, programs, AI systems
83+
projects delivered
enterprise, client, founder-led
53
enterprise applications
core team / portfolio leadership
12K+
npm + pypi installs
public technical work
Former Fortune 50 Core Team Lead · Founder of HAIEC + KestrelVoice · Dallas-Fort Worth
03 / where I create leverage

I work across the decision, not one piece of it.

Most AI advice covers one layer. Strategy without architecture. Architecture without governance. Governance without production. The decisions that matter sit across all five.

What became possible?

AI changes what is possible faster than most operating plans change. I look for the changes that may materially alter your options.

What this covers
01new AI capabilities
02workflow improvement
03automation
04productivity and capacity
05customer experience
06new services
07business model opportunities
The value is not knowing more about AI.
It is making a better decision about what your organization should do with it.
04 / engagement architecture

Diagnose before prescribing. Build after the decision earns it.

Each path produces a different kind of certainty. The engagement begins at the point where your decision is currently constrained.

DIAGNOSE → ADVISE → ARCHITECT / BUILD → ASSURE
Preferred entry

DIAGNOSTIC INTENSIVES

Expose what the current framing cannot see.

A bounded intervention to surface hidden opportunity, operating friction, value leakage, constraints, decision conflict, and untested assumptions.

  • Decision-grade diagnostic
  • Material constraints and options
  • Priority actions and stop conditions
Start a Diagnostic
Continuing judgment

EXECUTIVE AI ADVISORY

Resolve interconnected decisions with context intact.

Independent counsel across opportunity, investment, vendor, architecture, roadmap, operating model, security, and governance decisions.

  • Executive working sessions
  • Decision and evidence briefs
  • Roadmap and architecture pressure-testing
Explore Executive Advisory
Qualified execution

ARCHITECTURE & IMPLEMENTATION

Build only after the decision earns implementation.

System architecture, integrations, agents, RAG, voice, data, permissions, failure handling, deployment, and operational handoff.

  • Production architecture
  • Implementation sequencing
  • Inspectable operating controls
Explore Architecture
Evidence-bound

AI ASSURANCE

Establish what the available evidence supports.

Founder-led HAIEC engagements for consequential AI systems that require a bounded evaluation, material mismatch analysis, and decision receipt.

  • Evaluated scope
  • Evidence coverage and gaps
  • Bounded assurance decision
Initiate an Assurance POC

Productized offers for eligible nonprofit organizations and active HEB Chamber of Commerce members are available through the private member route.

05 / selected systems + open source

The work is inspectable.

Advice gets sharper when the architecture, failure modes and operating constraints are real. I build products and publish selected tools in the same areas I advise on.

HAIEC

PRODUCT / ACTIVE

Evidence-bound assurance for consequential AI.

Evaluated scope, action and access analysis, evidence coverage, explicit unknowns, and bounded decision receipts.

Not legal certification or guaranteed compliance.

Inspect →

KestrelVoice

PRODUCT / LIVE

Voice AI and workflow operations.

Production voice systems, real-time AI, workflow integration, human escalation, scheduling and operations.

Inspect →

12K+ npm + PyPI installs across public open-source packages.

Explore Open Source & Systems →
HAIEC Developer Security

Secure the code. Protect the tenant boundary. Verify the model interaction.

Security and verification tools for AI-assisted development. Three independent MIT-licensed packages, each answering a different developer-security question.

SOURCE SECURITYNEW · RELEASED

AI AppSec

Evidence-backed AppSec for AI applications and agents.

Audit AI/LLM source code with explicit coverage, reproducible findings and tamper-evident scan evidence.

122 detectors79 security checksMCP v2MIT
ProductAI AppSec
Versionv0.1.0
GitHubsubodhkc/ai-appsec
npmai-appsec
MCP Registryio.github.subodhkc/ai-appsec
CLIai-appsec
MCP toolscan_ai_security
BOUNDARY SECURITYNEW · RELEASED

MCP Tenant Isolation

Catch cross-tenant leaks before production.

57 deterministic rules for tenant boundaries across multi-tenant SaaS and MCP server code.

57 rules15 MCP-specificMCP v2MIT
ProductMCP Tenant Isolation
Versionv2.0.0
GitHubsubodhkc/mcp-tenant-isolation
npmmcp-tenant-isolation
MCP Registryio.github.subodhkc/mcp-tenant-isolation
CLImti
MCP toolscan_tenant_isolation
MODEL INTERACTION / RUNTIMERUNTIME SIBLING

llmverify

Verify model interactions before they reach users.

Local-first prompt-injection checks, PII redaction, hallucination risk signals, JSON repair and runtime monitoring.

Version: v1.6.1npm: llmverifyGitHub: subodhkc/llmverify-npmCLI: llmverifyLicense: MIT
Read the release article →
06 / how I work

One method. Six disciplines.

Every engagement runs on the same operating method, from a single advisory session to a multi-month implementation.

01
Research
Understand reality before committing to a solution.
02
Reframe
Find the useful question behind the initial request.
03
Prove & Decide
Pressure-test value, options, evidence and trade-offs.
04
Architect
Design the business, technical, human and control model.
05
Mobilize
Create ownership, sequence and executable next steps.
06
Improve
Use production evidence to scale, change or stop.
PrincipleThe answer is allowed to be no.
07 / writing + research

I publish the reasoning, not just the conclusions.

6 papers and 4 frameworks across AI strategy, production architecture, and governance.

AI That Works Magazine · independent field magazine, free to read.
Explore Insights →
08 / about
Subodh KC, AI Advisor and AI Systems Architect
fig.02 - operatorDallas-Fort Worth

Subodh KC

AI Advisor + AI Systems Architect·Dallas-Fort Worth
soo-BOHD KAY-see

Former Fortune 50 Core Team Lead and Senior Technical Program Manager. Led a 53-application enterprise portfolio and later worked across AI implementation, governance, and a Commercial Software AI Strategy initiative. Founder of HAIEC and KestrelVoice. 16+ years across software, infrastructure, enterprise program delivery, and applied AI systems.

M.S. Engineering & Technology Management · Louisiana Tech University
Six Sigma Green Belt
AboutExecutive BioSpeakingLinkedInGitHub
09 / start

What consequential AI decision can you not defend confidently today?

Start with one material decision, the consequence attached to it, and the evidence or operating constraint your current process cannot resolve.

Start a Diagnostic →Discuss an Executive DecisionInspect Selected Work
AI Advisor →