AI systems for decisions that matter.

I help teams build decision-grade AI. That doesn't mean AI you blindly trust; it means an AI system that knows the model is imperfect, with processes that take advantage of AI's strengths while not just ignoring its weaknesses. The result is decisions your team can make with confidence, and an honest read of where the AI helps and where it doesn't.

Fractional engagements, embedded in your team as ML engineer, tech lead, or head of product, depending on what the work needs.

Glen Hanson · info@grayduckpartners.com

My approach

A forecaster's discipline

I started as a military weather forecaster and atmospheric scientist. In that world, uncertainty is a distribution, not a single number, and treating it as one is how missions fail. That discipline is what I bring to AI systems: knowing where a model can be trusted to act on its own, and where more thoughtful design is needed to tap into human-led expertise.

Architecture and evidence, together

Most people who can build production AI can't design the study that proves it works. Most people who can design that study can't build. I do both. The architecture and the evidence, together, which is what it takes to deploy AI when results matter.

What decision-grade actually means in practice

Trust doesn't transfer

Change the model, the prompt, or the agent, and the evidence has to be rebuilt from scratch. There is no universal "this AI is safe" stamp, and pretending otherwise is how teams get burned.

A real signal isn't the same as one you can act on

Passing a statistical test isn't the same as being safe to bet a decision on. I report the honest picture of what an AI can be trusted to do, not the flattering one.

Fixed-Scope Offering

AI Agent Architecture Review

You have an agent that works in the demo. The question that matters next is whether you can put it in front of decisions where being wrong is expensive, and defend it when someone asks how you know it works. This three-to-four week review maps where your agent can be trusted to act and where a human needs to stay in the loop, designs the architecture and evaluation strategy to match, and hands your team a plan they can build.

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What you get

  • An uncertainty map
  • A target architecture
  • An evaluation strategy
  • A prioritized roadmap

If your team needs decision-quality AI, let's talk.

A 30-minute call, no pitch. If it's a fit, we take the next step.

info@grayduckpartners.com