Builders Who Embed, Not Experts Who Advise

Founding engineers, not deck consultants. That’s the new consulting paradigm.

The old consulting model: experts produce analysis and recommendations. Deliverables are documents. Implementation is a separate engagement (if it happens at all). Value is measured in insight quality.

This model sells the new with the old paradigm. It treats AI as another topic to analyze rather than a capability to deploy.

The Old Model

AspectTraditional Consulting
OutputDecks, reports, recommendations
RelationshipExpert → client
Value metricInsight quality
Implementation”That’s a separate engagement”
Knowledge transferDocuments, presentations
Success looks likeClient says “great analysis”

The New Model

AspectCapability Consulting
OutputTools, infrastructure, encoded taste
RelationshipFounding engineer → co-builder
Value metricCapability installed
ImplementationIS the engagement
Knowledge transferWorking systems, methodology
Success looks likeClient doesn’t need us anymore

What “Founding Engineer” Means

We’re more like temporary co-founders than consultants:

  • We write code (or the AI equivalent)
  • We make product decisions (not just recommend them)
  • We’re accountable to outcomes (not deliverables)
  • We’re temporary-permanent (long enough to matter, not forever)

This is different from T&M bodies. Different from strategy consulting. Closer to venture studio or EIR—but for capability, not company building.

Why the Shift Happened

AI changed the economics:

  1. Building is cheap → The constraint isn’t “can we build” but “do we know what to build”
  2. Tools compound → Building our own tools makes us faster with each engagement
  3. Taste compounds → Generic AI does homework; configured AI builds durable leverage
  4. Implementation IS insight → You learn what works by building, not analyzing

When This Works Well

This model works best when there’s appetite to build, not just analyze. Teams that want to ship something and learn from it. Organizations willing to make decisions without exhaustive consensus.

It’s not the right fit for every situation. Sometimes you need comprehensive analysis first. Sometimes the constraint is stakeholder alignment, not capability. That’s fine—different situations call for different approaches.

Implication

The shift is from “experts who advise” to “builders who embed.” The value isn’t in the recommendation—it’s in the working system you have when we’re done.


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