Reports and spreadsheets
Recurring reports, Excel files, CSV exports, formulas, cleanup steps, manual filtering, and weekly spreadsheet rebuilds.
What I automate
The target is expensive repetitive work, not technology for its own sake.
These are examples of processes worth examining. They are not claims about completed client projects.
Where automation fits
Common automation targets
Good opportunities usually have the same shape: people repeat digital steps, the inputs are available, and the time cost is high enough that a focused tool can pay for itself.
Documents and PDFs
PDF processing, OCR, form review, attachment handling, email classification, document routing, and extraction into usable data.
Data transfer between systems
Information copied between apps, compared across exports, checked against a database, or prepared for another department.
Exception review
Processes where most records are routine, but employees spend hours finding the small number that need human attention.
Internal utilities
Small tools, dashboards, review queues, scripts, background jobs, and internal applications built around how the work happens.
AI-assisted tasks
Classification, summarization, text analysis, and judgment-heavy review where AI makes sense alongside rules and human oversight.
Practical automation
Not every automation needs AI.
Some of the best automation is boring in a good way: a reliable script, a clean integration, a scheduled report processor, or an internal tool that prevents employees from doing the same task hundreds of times.
AI is useful when the work involves language, classification, summarization, or judgment-like interpretation. It should earn its place in the workflow.
Have a process in mind?
Send the rough version. The first question is whether automation would actually be worth it.
Contact me