Learn how to distinguish finding comments, discovering themes, applying known categories, and drafting summaries—then choose a suitable technical approach based on your data, constraints, and tolerance for errors.

18 Oct 2026 GUIA

How to Choose Between Rules, Predictive Models, and Generative AI: A Triage Guide

Before investing in AI, define the decision you want to improve, the data you have, and the consequences of an error. This framework lays out four possible routes and shows what the available evidence can—and cannot—tell you.

16 Oct 2026 GUIA

Processing Invoices with AI: What to Automate, What to Validate, and When to Stop the Workflow

A guide to separating extraction, validation, recording, and approval. Decide which tasks to automate based on risk, and set limits so that reading an invoice does not become authorization to pay it.

14 Oct 2026 GUIA

How to Choose a Customer Service AI Solution Based on the Task, Data, and Risk

A guide to deciding which support task to test, what level of delegation to accept, and what data protections, human controls, and tests to require before expanding use.

30 Sep 2026 GUIA

Maintaining Repositories with AI: What to Delegate and What to Review

A guide to assigning maintenance tasks to AI based on the impact of an error, the reversibility of a change, and the tests available. Includes permission boundaries, required evidence, and criteria for approving or stopping work.

26 Sep 2026 GUIA

Private Documents with AI: How to Decide What Can Leave the Perimeter and What Requires Review

An operational route for deciding whether a search, summarization, extraction, classification, or drafting workflow can process private documents directly, in minimized form, in segments, or within a controlled environment. The focus is not on selecting a technology by default, but on defining data, transformations, controls, and human review before production.

22 Sep 2026