Funding agreement scanner
Drop a contribution agreement in. Out comes a clean summary: reporting dates, eligible expenses, deliverables, and any clauses worth flagging to council. No more reading 40 pages to find a deadline.
Most “AI for government” pitches don’t survive a week inside a band office. The systems are too generic, the training is too long, and the value disappears the moment your one technical staff member moves on. The work I build is the opposite of that — small, focused tools that take repetitive load off real workflows.
AI is good at a narrow set of things: reading long documents, pulling structured information out of messy text, drafting first passes of routine writing, and connecting tools that don’t naturally talk to each other.
Used carefully, that’s enough to recover several hours per week in a small office — without changing how staff work and without forcing anyone to learn a new platform.
Used carelessly, it produces confident-sounding nonsense and adds risk. So every workflow I build has a clear human review step, a paper trail, and an off-switch.
Each one is a real, narrow workflow — not a platform you have to adopt all at once.
Drop a contribution agreement in. Out comes a clean summary: reporting dates, eligible expenses, deliverables, and any clauses worth flagging to council. No more reading 40 pages to find a deadline.
Project notes, photos, and invoices in. A first-pass quarterly or final report out. Staff edit instead of write from scratch — usually a 60–80% time saving on routine reports.
A simple form members can use from a phone. Requests get triaged, deduplicated, and added to a tracker. Nothing falls through the cracks because it never made it out of someone’s inbox.
New funding bulletins, RFPs, and program updates summarized weekly. You see what’s relevant to your community without anyone reading every newsletter.
Long email threads with attachments turn into structured records: who said what, what was decided, what’s outstanding. Useful when handing files between staff or back to council.
Existing folders — drives, scans, attachments — made searchable by what’s inside the documents, not just file names. Old reports stop being lost.
We pick one or two real workflows that are eating staff time. No assessments, no surveys. Just look at the actual work.
I build a working prototype — usually within a couple weeks — so staff can see it in action before any commitment.
Small pilot with one team. Outputs reviewed by humans every step. Fix what’s wrong; keep what works.
Documentation written for the next person. Off-switches, edit access, and clear instructions on what to do if it breaks.
Every workflow has a clear story for where data lives, what gets sent to a third-party model, and what stays inside the office. Defaults lean private. If a workflow can’t be done without sending sensitive data to an outside service, I’ll tell you up front and we’ll decide together whether the trade-off is worth it.
If your community has data sovereignty requirements (OCAP, local policy, funder restrictions), those come first — and they shape the design before anything else.
Book a 30-minute review. I’ll be honest about what AI is and isn’t worth doing for you.