AI Advisory

You don't need to stand up a full-time AI platform team to ship production AI. You need a forward-deployed engineer on call — someone who understands the technology, knows what survives a security and compliance review, and can guide you from strategy through a system that actually ships.

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What You Get

Strategy

See the landscape clearly and make confident decisions about where AI fits in your business.

  • AI roadmaps and prioritization
  • Vendor and tool evaluation
  • Build-vs-buy recommendations
  • Opportunity identification

Architecture

Get systems designed right the first time — scalable, maintainable, and fit for purpose.

  • System design and architecture reviews
  • Prototyping and proof-of-concept builds
  • Technical due diligence

Enablement

Build your team's AI capabilities so you're not dependent on outside help forever.

  • Team training and upskilling
  • Implementation oversight
  • Monitoring and optimization of deployed systems

Who It's For

The Stalled Initiative

You have a promising AI prototype that can't get past security review or compliance into production. You need someone to close that last mile.

The Regulated Operator

You need AI, but every deployment has to be auditable, explainable, and disposable. You need infrastructure your risk and compliance teams will sign off on.

The Lean Team

You can't justify a full-time AI platform team, but you still need production-grade orchestration and architecture guidance that scales.

How It Works

1

Discovery Call

We learn about your business, your goals, and where AI fits into the picture.

2

Tailored Engagement

We scope a retainer that fits your needs and budget — no cookie-cutter packages.

3

Ongoing Partnership

Regular sessions, async access, and hands-on help when you need it.

Insights & Writing

I write about building production AI in the open. A sample of recent pieces:

AI Agents

Agents Shouldn't Grade Their Own Homework

An agent calling 'done' is the model grading its own homework. Why autonomous runs need an independent oracle over what actually happened — and how a structured trajectory makes that check almost free.

Read article AI Strategy

What It Actually Means to Build AI Solutions

It isn't about deploying the fanciest models — it's understanding the problem, choosing the right tech, and delivering something that works without constant babysitting.

Read article AI Strategy

The 20% Who Actually Make Money on AI

Real AI profit exists — it just stays concentrated in the fifth of companies that all look strangely alike. What that fifth has in common.

Read article Orchestration

The Missing Tier: AI Orchestration for People Who Aren't Enterprises

Every serious orchestration platform assumes a platform team. There is a tier of builder underneath with the same problems at a tenth of the scale — and they have been stuck.

Read article AI Strategy

Choosing the Right Work for AI: Creativity vs. The Boring Stuff

AI shines at turning structured inputs into structured outputs and struggles with genuinely creative work. Knowing the difference is the key to real value.

Read article AI Agents

The Case for Autonomous Agent Orchestration

Most AI agent setups die after one session. The patterns that make autonomous agents work long-term look nothing like what you would expect.

Read article Retrieval

RAG Beyond Chunks: Why Context Gets Lost in Traditional Retrieval

Most RAG systems treat documents like a pile of snippets. Real understanding needs more than chunks — why multi-view retrieval changes document Q&A.

Read article

More on the blog

Field notes on AI orchestration, agents, and shipping real systems.

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Ready to Talk?

Let's start with a conversation about where you are and where AI can take you.

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