About — Human in the Loop Services

// 01

The Thesis

As software becomes commoditized, the moat moves to humans.

For two decades, the value capture in software was in the software itself — the platform, the workflow, the data model. Companies built moats by making software that other companies depended on.

AI changes the geometry of that. The same Claude or GPT that powers an enterprise platform now writes the code for the competitor that's about to displace it. The technical asset commoditizes. What doesn't commoditize is the human judgment that surrounds the AI — deciding what to use it for, when to override it, what evidence to keep, who's accountable when it fails.

Every regulator who looks at AI seriously arrives at the same conclusion: the human stays in the loop. EU AI Act Article 14 mandates it. ISO 42001 controls require it. Every state-level US AI law in flight has some form of it.

Our bet is that this isn't a temporary patch on AI's roughness. It's the durable shape of how AI gets deployed responsibly. The firms that win the next decade aren't selling AI — they're providing the human layer around it.

// 02

How We Work

Standardized playbooks. Named accountability. No vague hours.

Every engagement runs on the same operating principles. We didn't invent these — they're how serious professional services firms have always worked. But they're worth naming, because most consultancies in this space don't follow them.

[ 01 ]

Documented playbook per service. Every engagement follows a defined process with standardized deliverables. No improvisation. Two clients buying the same service get the same artifacts. The playbook is the product.
[ 02 ]

Named senior advisor sign-off. Nothing leaves our office without a named senior advisor reviewing it. Your point of accountability is a person, not a brand. Their name is on the contract.
[ 03 ]

Peer review on findings and recommendations. Risk-ranked findings get a second pair of senior eyes before they reach you. Catches blind spots and keeps the work consistent across engagements.
[ 04 ]

Fixed-scope contracts. No hourly billing. You know what you're paying and what you're getting before we start. We absorb the risk if the work runs long. We don't bill the back office of "consulting hours."
[ 05 ]

Continuous training across our team. The AI risk landscape moves weekly. Our advisors are on a structured curriculum that keeps the work current — your engagement benefits from what we learned last week, not last year.
[ 06 ]

Disclosed referral relationships. When we recommend a third-party tool, we disclose any commercial relationship up front. We don't recommend tools that compete with our sister firm GovernMy.ai. Same principle as a fiduciary disclosure.

// 03

The People

Senior advisors with operational backgrounds.

Every engagement is led by a named advisor who has actually run the function you're augmenting with AI. Not generalists. Not deck-makers. People who have shipped, hired, deployed, recovered, and documented.

A.01

Adaeze Okonkwo

Principal Advisor

15 years in operations leadership across SaaS and fintech. Founded the firm. Leads discovery engagements and the senior review layer.

A.02

Marcus Whittaker

Tooling & Architecture Lead

Former engineering director. Maps risk surfaces to vendor categories. Owns the marketplace and implementation oversight.

A.03

Priya Lakshmi

Training & Enablement Lead

Adult-learning specialist with a decade in regulated-industry training programs. Designs the literacy and operator curricula.

A.04

Tomas Linhardt

Senior Operations Advisor

Ex-CIO of a 600-person services firm. Runs ongoing retainers and quarterly reviews for mid-market clients.

// 04

How We're Different

Three things we don't do that other firms in this space do.

[ 01 ]

We don't sell software. A growing number of "AI governance" firms are wrappers around a SaaS platform. We're not. The platform underneath is shared infrastructure with our sister firm GovernMy.ai — but you're hiring the humans, not buying access. If you want a dashboard, we'll point you to one. If you want oversight, that's us.
[ 02 ]

We don't pretend compliance is the only reason to do this. Most AI governance firms only talk to companies under regulatory pressure. That's a small slice of the market and a stressful one to enter. We work primarily with mid-market non-tech companies who deploy AI because they want to be responsible, not because someone is forcing them. The compliance work is downstream — and our sister firm handles it when it gets there.
[ 03 ]

We don't bill by the hour. Hourly billing punishes you for asking questions, rewards us for working slowly, and produces invoices nobody can predict. Every engagement we offer is fixed-scope or fixed-monthly. You always know what you're paying.

If this sounds like the kind of firm you want involved, we should talk.

30-minute call. We listen, we ask questions, and we tell you which service fits — or whether we're not the right fit. Either way, you'll know more than you did before the call.

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