FIELD NOTES ON ENTERPRISE AI

Less AI noise.
More operating substance.

Practical guides to context, evaluation, and workflow design for teams exploring AI in complex physical operations.

FOUNDATIONS · PRACTICAL GUIDE

Why the context matters more than the prompt.

A useful operational answer needs the right records, revisions, and business scope—not just a better-worded question.

EVALUATION · PRACTICAL GUIDE

What to measure in an operational AI pilot.

Evaluate the full path from input to handoff, including the difficult cases that a polished demo can hide.

WORKFLOW DESIGN · PRACTICAL GUIDE

From field conversation to accountable handoff.

How to retain the issue, evidence, owner, and approval when a long conversation becomes operational work.

BEFORE A DISCOVERY DISCUSSION

Bring the question.
And a little context.

You don’t need every system connected to begin. A small collection of representative records is often a better way to define a meaningful first workflow.

The recurring problem

Who handles it today, how often it occurs, and what decision or handoff it should improve.

Representative sources

A few appropriately shareable examples of notes, procedures, logs, images, or reports.

The decision boundary

What AI may suggest, what a person must approve, and what should stay outside scope.

The review criteria

What the team would need to see to judge the output correct, useful, and safe to hand over.

Prepare a discovery brief ↗
ABUNDANT INTELLIGENCE