Chris Hood

Everyone is shipping agents with dashboards. Traces, scores, evaluation pipelines. You can watch your agent in extraordinary detail. Watching is not the same as governing. Access control handles what an agent can reach. Observability captures what it did. Neither one answers

Most enterprise AI projects will fail simply because nobody designed the authority to govern it. Here are five questions every executive should be asking before their next AI deployment: 1. Who is accountable when the agent makes a bad decision? 2. Can you explain what your AI

13 dimensions. Evaluated simultaneously. Security, ethics, authority, cascading impact, temporal compliance, stakeholder impact, transparency, human override... One dimension can't hide behind another. Nomotic sees the whole picture — every action, every time. Open-source

Most tools watch agents for drift. Nomotic watches both sides: Agent drift: behavior fingerprints detect when patterns change Human drift: oversight erosion when reviewers stop paying attention Governance fails when the human stops looking. We catch that too. First in

If you can't stop it mid-action, you don't control it. Nomotic's Interrupt Authority is mechanical kill switch for agents: - Halt one action - Stop one agent - Pause entire workflow - Emergency global shutdown All with rollback support. Runtime, not after-the-fact.

Laws for agents. Not guidelines. Not recommendations. Enforced. Continuously. At runtime. Nomotic gives AI agents what every legal system gives humans: real boundaries that bite when crossed. No anonymous agents. No unchecked authority. No post-mortem regrets. GitHub:

Agentic AI is exploding. Everyone asks: "What *can* this system do?" Nomotic asks: "What *should* it do?" Runtime governance layer: vetoes mid-action, bidirectional drift detection (agent + human), interrupt authority, 13 dimensions evaluated simultaneously. Open-source.

Most AI governance checks permissions before an agent acts or reviews logs after it's done. The actual runtime, where actions occur, consequences compound, and failures cascade, is largely ungoverned. Agents act in milliseconds. Humans review in hours. That mismatch isn't a

I totally understand that not everyone agrees with my position on AI autonomy. I recognize your opinions, and I respect the perspectives that engineers and builders bring to this conversation. But I also believe these are topics worth discussing, analyzing, and considering from

Everyone wants agentic AI. But the more governance you layer on, the less agentic it becomes. So why are we building systems just to control them? That question is pulling the market into the trough of disillusionment faster than anyone expected. chrishood.com/the-ai-governa…

The customer experience industry is rebranding. UX is becoming more intelligent. But most organizations are getting it wrong. They're bolting AI onto existing touchpoints without asking the only question that matters: does this make things better for the customer? Taco Bell's

Happy Valentine's Day! 💔🤖❤️ I wrote about the relationship none of us expected to be in — our situationship with AI. Chatbot proposals. AI wingmen. Breakups caused by patch releases. Romance scams powered by the same tech that helps you find love. From Ex Machina to Maybe

AI isn't the problem. Alignment is. → Customer Alignment — solving real problems vs. deploying AI for the sake of deploying AI → Capabilities Alignment — the gap between what AI can do and what you were sold → Team Alignment — who owns it, operates it, governs it →

The AI industry evolves fast. The language we use to describe it should too. Here are 9 you probably haven't heard yet: → Simonomy — simulated self-governance → Nomotic AI — the governance layer agentic AI is missing → Agent Washing — automation rebranded as agency →

Customer Transformation isn't just a buzzword—it's a 7-stage roadmap starting with deep customer insights to align processes, culture, & tech. Turn your business outside-in for 80% faster growth. Who's ready to prioritize CX? #CustomerTransformation #BusinessStrategy

Introducing Nomotic AI: Shift from "what AI can do" to "what it should do." Intelligent governance with adaptive authorization & ethical alignment ensures trust in agentic systems. The future of responsible AI. #NomoticAI #AIGovernance

What are Intelligent Experiences (IX)? AI-driven digital engagement that empowers, understands, & delights customers. But they require intelligent governance to thrive. Redefine CX with context-aware adaptability. #IntelligentExperiences #AI

AI Governance Maturity Model: From basic monitoring to active Nomotic participation. Evaluate actions stage-by-stage for reduced risk & accountability. Orgs that govern best will serve best. #AIGovernance #AI

Simonomy: Recalibrating AI autonomy language. It's governance from simulation mechanisms—pattern inference creating intelligent behaviors. Not "almost autonomous," but categorically different. #Simonomy #AI

A flamingo is not born pink. It hatches gray. The color is earned through sustained, healthy behavior over time. Stop feeding it well, and it fades. AI governance works the same way. No system is born trusted. Trust is earned through consistent, observed performance. The proof