PODCAST · THE ML LABS BRIEFING

Hear both sides of the decision.

Recorded conversations on putting AI to work: the questions buyers ask before they commit, answered by the engineer who builds and runs the systems.

Buyers' questions, answered by the builder.
Omar answers in a clone of his own voice.
Reid and Robert, the hosts, are AI voices.

Robert, the host, and Omar Trejo talk at a meeting table beside a screen showing a layer stack

The Seven Layers Of An AI Adoption Stack

An AI system depends on more than a model. Work through all seven layers, from data and models up to outcomes, and the controls that sit under them, to find the layer limiting your operation before you buy the easiest one.

EPISODES

Every conversation so far.

Reid, the host, reads a thin proposal beside Omar Trejo at a meeting table in a concrete-walled office

Episode 11

Buy The Software You Can Afford To Replace

The tools improve every few months. What you build now will need changing within a year or two. Choose software with clear ownership and a scope small enough to replace as better tools become available to your business.

Reid holds a printed ECG strip while Omar Trejo explains the lead cables beside an ECG cart in a cardiology exam room

Episode 10

Your Team Ships More And Understands Less

AI now writes more of your code and analysis, and nothing in the loop requires anyone to learn why the work succeeded. Keep the decisions, lessons and context your team needs to improve its systems as AI takes on more work.

Reid, the host, holding up a single printed page while Omar Trejo asks for the mechanism at a whiteboard

Episode 09

The Savings You Announced Have No Mechanism

The filing names the savings and the period, not the mechanism, and nobody is responsible for producing one. Turn the target into a change people can deliver, with a clear process, a named owner and evidence of progress.

Omar Trejo explains a point across a meeting table while Reid, the host, takes notes in a brick-walled office

Episode 08

One Workflow Across Two Entities Before The ERP Merges

The ERP merge is months away, and meanwhile one process runs every week across both companies on a spreadsheet and one person. Help them run it with clear records, roles and approvals before their core systems merge.

Omar Trejo points to one block on a standing screen as Reid, the host, and two executives listen outside a row of glass meeting rooms

Episode 07

Keep AI Away From The Step You Can't Undo

A wrong summary is corrected in a second; a wrong order is money gone. Let AI research and explain decisions while fixed rules control the orders and actions your business cannot undo, the way ML LABS built its CVEST system.

Omar Trejo works at his laptop while Reid, at a separate desk two metres away, checks a printed page of his output

Episode 06

Who Checks The Work When AI Writes The Software?

Often the same system that wrote the code also decided that the code was fine. Give AI-built software an independent verifier from a different model family, clear checks and a human stop point before it reaches production.

Omar Trejo answers the chair's question at a service company's board table, vans parked outside

Episode 05

What Your Board Should Ask Before Buying AI

A convincing AI demo can still leave open what the business is committing to operate. Test the proposal against the business outcome, the evidence, who owns delivery after release and what changing course would cost.

Reid checks a job packet's customer sign-off while Omar Trejo shows the missing purchase order beside an open service van

Episode 04

Why Completed Jobs Still Wait for Invoicing

The technician has finished and the service manager considers the job closed, yet the invoice still waits. Give finance a clear record of completed field work, with the evidence and approvals it needs to prepare an invoice.

Omar Trejo counting on his fingers across a meeting table from Reid, the host, arms crossed

Episode 03

The Pilot Worked And Nothing Depends On It

The demonstration went well months ago, and nothing in the company would stop if it were switched off tomorrow. Move from a promising pilot to daily use by resolving the data, access, process, support and checks it depends on.

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