Hazy Lane Advisors · For Private Equity
Your portfolio has AI activity.
What it doesn’t have is an AI agenda.
A Forward Deployed Advisor who goes inside one company, diagnoses where it’s really stuck across people, work, and systems, and gives the CEO a clear agenda they can defend to the board. Reached, most often, through the operating partner who already feels the problem.
The Portfolio Problem
A board-level mandate met by an organization
that can’t yet answer it.
You carry an AI mandate across the portfolio, and one or two companies are visibly behind. You go to the CEO and ask for the plan. What comes back isn’t a plan — it’s a pile of pilots, a few vendor decisions, and a story assembled to sound like progress. Nobody can say which workflows actually changed. The board is asking, the noise is constant, and there’s no execution path you’d be willing to put your name on.
The honest version is uncomfortable but simple: this company has activity and no agenda. And the thing slowing it down isn’t the models. It’s the absence of a clear, shared view of what’s actually true inside its own walls.
Why The Usual Options Fail
Three reasonable instincts that don’t close the gap.
The first reflex is usually to call one of three doors. Each is rational. Each misses the same prior step.
What Hazy Lane Does
A Forward Deployed Advisor, working inside the real decisions.
Hazy Lane goes in as a Forward Deployed Advisor — not a reviewer of slides at arm’s length, but a senior counterpart working inside the company’s decisions in real time. The order is fixed: diagnosis before prescription. First an honest read of where this specific organization is actually stuck; only then, what to do about it.
What comes out is the thing the CEO doesn’t have today: a clear, defensible AI agenda they can stand behind in front of the board. Not a shelved report, not a vendor’s roadmap — their own point of view, earned by working through what’s real. The intervention isn’t a deployment. It’s the clarity work that makes deployment finally possible.
The Diagnostic Lens
Where portfolio value quietly leaks.
The diagnosis runs along one fixed line — people, then work, then systems. The order is load-bearing: you can’t make the work fluent before people agree on the deal, and you can’t make systems computable before the work is real. Most value leaks at the earliest shift that’s been skipped.
The social contract.
The explicit deal leadership makes about how AI changes roles and what “good” looks like now. When that deal is never made openly, you get performative adoption — everyone nods, nobody changes how they actually work. Value leaks here first, quietly, because the organization never agreed on what it was doing.
Human and AI fluency.
A person and AI doing real work in a real job. The unit of change is the workflow, not the training session — and the cutting question is simply: which workflows actually changed? When the answer is none, you have training theater: certificates issued, behavior untouched. The work looks the same on Monday.
Computability.
A business is computable to the degree its objects, relationships, and rules are clean enough for machine intelligence to act across it. The question isn’t whether AI is smart enough — it’s whether your business is legible enough for it to help. Where it isn’t, the cost shows up as an efficiency tax: a recurring quarterly drag that no pilot ever fixes, because the incoherence sits underneath the pilot.
The Engagement
Operator-run, low-volume, built to end well.
AI Diagnostic
The core engagement. A structured intervention, run directly.
Tyler runs it himself — no junior team, no handoff. It produces a clear, defensible agenda organized across the three shifts: the single most important thing that’s true, then sequenced recommendations. A memo built to be argued with and delivered live to the CEO — not a deck that gets shelved.
Retained Advisory
Ongoing deployed-advisor capacity, where it’s warranted.
When a company needs a steady hand through execution, the work continues — building capability inside the team rather than dependency on the outside. Designed to make itself less necessary over time, not to become a permanent line item.
The practice is deliberately low-volume: a few clients, deep engagement, high signal. These are value-based engagements — the shape and the terms get worked out in conversation, not anchored on a page. The bar for the work is consistent: candor, a clear through-line on what has to become legible before AI can act, and the honest naming of the real blocker. The single organizing question is the one worth asking of any portfolio company: how does it capture the most AI-driven value at the fastest responsible pace?
Why Operating Partners Trust It
Click to expand
Someone who has actually sat in the seat.
Where To Start
Pick the one portfolio company that’s most visibly behind, and start with a Discovery Conversation about it — a short, honest read on where it actually is and what would need to happen. No engagement assumed. “No, in writing, for free” is a perfectly valid answer.
One company. An honest picture. A defensible agenda the CEO can own.