Services

Three ways to engage. One standard of work.

Every engagement starts with a conversation. Where it goes depends on what you actually need, not what is easiest to sell. We are an advisory practice first. We stay close to the work, because that is what keeps the advice honest.

Engagement model

Start where you are.

Most organisations start with the Review. Some need a quick read of a troubled project. Others already have the map and need ongoing judgment. The entry point is wherever makes sense for you.

Phase 01

Assess & Prescribe

Senior judgment, applied fast. No delivery commitment. Just clarity.

You need someone who has been on the floor, not just in the boardroom. We read the system, map the risk, and tell you the truth, even when it is not what you wanted to hear. This is where most engagements start, and for some organisations, it is all they need.

The productised form is the AI Readiness Review: a fixed-scope, fixed-fee diagnostic at USD 15,000, two weeks of effort delivered within a six-week window, built on the Sovereign AI method and the Trust Layer. The output is not a report that sits on a shelf. It is a clear picture of where you are, what you actually have, and what the realistic path forward looks like. You leave with a prescription, not a proposal for more work.

AI Readiness ReviewProject auditRisk mappingGovernance reviewVendor assessmentTechnical due diligence

Fixed scope, remote-first, deliverable across APAC and Europe.

Phase 02

Advise & Direct

Ongoing judgment as the landscape shifts.

Some organisations need continuing direction: new AI capabilities, new regulatory requirements, new operational pressures, a steady flow of vendor claims that nobody internal can independently test. The fractional advisory retainer is not a retainer for its own sake. It is a relationship with someone who already understands your operation, filtering AI decisions through thirty years of delivery before money moves.

The monthly cadence: a strategy session, asynchronous review of vendor proposals and architecture decisions, and a written brief your leadership can act on. Empirical verification, including model and cost analysis run on our own instruments, is part of the deliverable. Retainers are limited to a small number of clients at any time; that is what keeps the judgment sharp.

Advisory retainerAI governanceVendor claims testedTeam upskillingFramework maintenance

Typically follows a completed Review, or equivalent maturity.

Phase 03

Build, selectively

By exception, not by default. No black boxes. No dependency on us.

The gap between a working prototype and a live production system is where most projects die. We have spent thirty years on the delivery side of that gap. When we build, we build the way infrastructure gets built: tested, documented, and designed to survive contact with reality.

Everything we build is designed to be owned and operated by your team. Knowledge transfer is not an afterthought, it is part of the scope. We are selective about what we take on, and we will tell you early if something is outside our scope or better served by someone else.

AI enablementRAG systemsOperational intelligenceKnowledge transferStaff capability
Who we work with

Operators, not observers.

HML works with people who are accountable for real operations, not consultants advising other consultants. If your system has to keep running while you change it, you are probably the right fit.

Airport operations

Airport CTOs & Operations Directors

Responsible for systems that cannot stop. Facing vendor pressure, board pressure, and the reality that AI promises rarely match live operational environments. HML speaks that language.

Infrastructure & logistics

BHS & Infrastructure Owners

Baggage handling, automated logistics, data centres. Complex brownfield environments where the gap between a pilot and a production system is measured in operational risk, not feature lists.

Leadership

Executives Navigating AI Transition

The board wants an AI strategy. The vendors have pitches. You need someone who has actually delivered in environments like yours, not someone who learned AI after 2022.

How it works

No pitch deck. No proposal before the conversation.

01

The conversation

One call. No agenda except understanding where you are and whether HML is the right fit. If we are not, we will tell you.

02

The read

If it makes sense to go further, the Review gives you a rapid, structured assessment: your data, your systems, your team. We form a view before we recommend anything.

03

The prescription

A clear, honest picture of what you have, what you need, and what the path forward looks like. Not a proposal for more work. A prescription.

04

The work

If you want to go further, we agree a scope. Fixed where possible. No open-ended retainers until there is a reason for one.

Let's talk

Start with what you have.

One conversation. No pitch deck. Just an honest look at where you are, what you already have, and whether HML is the right fit to help you move.