AI consulting for a Louisville small business: five workflows worth fixing first
A scorecard for choosing a first project around inboxes, research, reporting, customer questions or scattered team knowledge.
The Ánimo proof library
Plain-language guides, worked examples and decision tools for finding useful AI projects—without turning the technology into the point.
Start with the actual problem
These are not trend reports. They are implementation notes for deciding what is worth fixing, what information needs work and what a responsible first version looks like.
A scorecard for choosing a first project around inboxes, research, reporting, customer questions or scattered team knowledge.
A practical path from scattered files and unclear ownership to a source an AI helper can use safely and reliably.
Meal planning, one family calendar, a private morning brief and an admin helper—designed around consent and human approval.
The standard
A good first version has a named owner, a narrow job, known source material, a review step and a before-and-after measure. If those pieces are missing, adding another tool will not make the project ready.
Have a real workflow in mind?
We can map the work, identify the safe boundary and decide whether a useful pilot exists before you buy more software.