Practical AI help. No AI team required.
Free AI consulting and implementation for small organizations, nonprofits, and individuals who want to put these tools to work: reducing the hours spent on repetitive work, lowering costs you've been absorbing, or building the skills to do it yourself. Every recommendation comes from someone who builds and ships these systems for an internal team, not just advises from the outside.
I'm accepting a few projects at a time so each one gets real attention. See what I've already built.
What I do
Three ways to work together
Readiness Audit
Not sure AI's worth it yet? I'll assess what you actually have and tell you straight, "not yet" included.
Build
One small workflow or tool, built, evaluated, and handed off with a plain-language runbook, so you can run it without me.
Enable
Short, role-specific training on one real workflow, with a 30-day check-in to see whether it actually stuck.
Use cases
What this can look like
Outreach drafting & logging, automated
A client-facing team needed consistent, on-brand replies to incoming outreach, plus a way to log and route each one without manual busywork. I built a custom AI chatbot that drafts replies and outputs structured data, paired with a pipeline that routes each entry automatically. Full write-up →
Manual reporting, made automatic
A recurring analytics report meant manual re-entry into a usable format every time it landed. I built a pipeline that parses it automatically into live dashboards, so there's no more manual work just to see what's happening. Full write-up →
No accuracy, cost, or time-saved figures below unless I've actually measured them.
What "free" actually means
No catch
While this practice is getting off the ground, the work is free. The only thing I ask, and only after the work is done and only with your explicit OK, is permission to describe it (anonymised or named, your call) so future prospects can see real examples instead of just my word for it. Say no and nothing changes.
Proof
See what's real
See what I've actually built: real, deployed work, plus the templates and process this practice runs on.
View the portfolio →