ARTICLES · DUE DILIGENCE, ON US

Read the guides before you commit.

Decision guides and engineering notes on choosing, scoping, building and running AI systems that keep working in daily operations, long after launch.

  • Read guides to choosing and building useful AI systems.
  • Explore the engineering work behind reliable operation.
  • Test a proposal before you commit budget or people to it.
A controller marks a row of calendar pages while the CFO and the audit committee chair review the restatement timeline in a high-floor boardroom

A Restatement Is A Deadline Nobody Can Move

A financial restatement adds a second period of urgent work to the process that produced the error, on dates set by regulation. Build the evidence and controls needed to meet those dates without repeating the same error.

A data manager finding a problem inside an archive box

The Data Problems Nothing Warns You About

Lost detail, duplicate records and unread storage can undermine a working system without raising a single error. Trace the data path from the source to the point of use to find what your one workflow actually needs from it.

A finance director points out one of four shortlisted workflows on a wall display while Omar Trejo and an operations executive listen

Which Broken Workflow Should Become Software First

Several workflows need fixing, but only one can go first, and that choice is where the money is usually lost. Test the consequence, access, ownership and readiness of each, then fund the workflow you can write a target for.

A plant engineer and operations manager evaluating a control module beside an industrial production line

Buy The Commodity, Build Only What Is Yours

Decide which part of a system you need to own before choosing to build, buy or partner. Everything that fails that test is a purchase, an assembly of parts someone else already runs, or something that should not be built.

Two maintenance specialists comparing a tablet record with equipment details during a handoff at an industrial utility site

The Work Does Not Carry Its Own Context

Before anyone can act on a piece of work, they go hunting for facts in the CRM, the billing system, old mail and a colleague's memory. Give people and AI agents the context with the work, so they spend less time searching for it.

A data engineer on a headset works at her laptop in a home office above the city

Your System Is Getting Worse And Nothing Warns You

The system went live, it works, and nobody owns it. Costs creep, quality ages, and every screen anyone looks at stays green all along. At one hedge fund, fixing the data under a system like that cut storage costs by more than 60%.

A quantitative researcher and a finance controller review a cost sheet beside trading monitors on a busy floor

Nobody Can Say What Your AI Tools Return

Finance can total what every AI tool costs this afternoon. Nobody can total what those tools gave back, and that is why they all keep renewing. Register every tool, define impact per category, and put one owner on the spend.