Non-profits and small to medium-sized businesses · Austin, TX
Get the hours back.
Keep the people.
AI should take the repetitive parts of the job — not the job.
A free 30-minute call, then a two-week Fit Check that shows what AI can take on for your team — and what it can't. I build only the workflows you pick, then hand them off to your team.
First step
30 min
One free discovery call. No deck, no paid discovery phase.
Commissions taken
0
Commissions or referral fees. Tools are recommended on merit.
Start to handoff
60 days
Discovery call to handoff, with something running by week four.
The guarantee
If the Fit Check finds nothing worth building, you don't pay for it.
Who it's for
Who is this for, and where do the hours go?
Non-profits
Most teams already use AI ad hoc. Almost none have a repeatable workflow or a written policy the board has seen.
- First draft of the grant report narrative, assembled from last cycle's boilerplate and this cycle's numbers
- Re-keying intake forms, applications, and sign-up sheets into the CRM
- Donor thank-you letters and acknowledgments, personalized from the gift record
- Board packet assembly from the reports you already produce
Small and medium-sized businesses
Ten to two hundred people, one office manager holding it together. The owner has tried ChatGPT. Nobody else has.
- Quotes and estimates drafted from a template plus the job details
- Customer follow-up after a quote, a job, or a missed call
- Scheduling and confirmations, with the back-and-forth handled for you
- Weekly back-office reporting pulled from the systems you already use
A person approves anything that leaves the building.
Not a fit
Organizations that want a chatbot on the website and nothing else, or a 40-page roadmap with no build.
Curious whether ChatGPT would cite you today? Run the free AI visibility check →
How it works
How does an engagement work?
One free call, then four phases, each fixed price. A workflow is one repeatable task that eats staff time; you choose which ones to fix, and starting with one is fine.
- 00Free
Discovery call
30 minutes
You describe how work gets done. I say whether AI is worth your time this year. Sometimes it isn't.
- 01Priced
Fit Check
Two weeks
Every repeatable task I can find in two weeks, ranked by hours saved and by risk.
What you get ↓Less ↑
- Every workflow found, ranked by hours saved and by risk
- The workflows I looked at and rejected, with reasons
- A go / no-go on whether this is worth your year
- 02Included
AI Governance
Drafted in the Fit Check, proposed before the build, signed before handoff
A plain-language AI policy: what never goes into a tool, who signs off, which tools are approved.
What you get ↓Less ↑
- Acceptable-use policy and data classification, in plain language
- Human sign-off list, approved-tool list, and a do-not-build list
- A named owner for every rule, and a revision pass after board feedback
- 03Priced
Workflows Fixed
Four weeks
The ones you select, built in the tools you have, with a working demo every week.
What you get ↓Less ↑
- The workflows you selected, built and running against real work
- Before and after, measured in hours and dollars
- Documentation the next hire can follow
- 04Included
Handoff to Your Team
Two weeks, then a 30-day check-in
Training, a named owner per workflow, documentation, and a 30-day check-in.
What you get ↓Less ↑
- Hands-on training on the workflows we built
- A named owner for each workflow
- A check-in 30 days after handoff
What a Fit Check hands youThe one-page list, in the shape you’ll get it.
This is an illustrative example for an invented organization, so you can see the shape before you pay for the real one. Every number is labeled with where it came from, because a finance officer assumes the worst case if you don’t say.
| Workflow | Hours per week | Risk | Verdict |
|---|---|---|---|
| Grant report narrative, first draft | 6 (their estimate, unmeasured) | Low. Reviewed by a person before it leaves. | Build first |
| Re-keying intake forms into the CRM | 4 (counted, one week) | Low. No judgment involved. | Build |
| Donor thank-you letters | 3 (their estimate, unmeasured) | Medium. Donor-facing; needs sign-off. | Build, with a human gate |
| Board packet assembly | 5 (their estimate, unmeasured) | Low. | Do it yourself — I’ll show you how |
| Case notes summarization | 8 (their estimate, unmeasured) | High. Beneficiary data. | Not yet. Policy first. |
Rows 1 to 3 are the ones I would build first; you choose how many. Row 4 is yours to do. Row 5 waits until the policy exists, and I’d rather say that now than after.
Current work
What am I building right now?
A room-booking system for a non-profit job-training center
Three rooms, a public calendar, a staff approval queue, recurring bookings, and a guidelines agreement every requester accepts. It replaces a form-and-email loop a small staff was holding together by hand, and every rule they need to change is editable by them.
A CRM and outreach engine for a digital-raffle fundraising company
Lead intake, AI-drafted follow-ups a person approves before anything sends, and lead-sheet scanning. Every AI call is logged with its cost, there is a daily spend cap, and failures alarm rather than fail quietly. The human gate is built in, not promised.
Why WiderGood
Who does the work?
Ben D. Miller, in Austin. Every engagement is delivered by me, not a team or a subcontractor.
Fifteen years running operations and analytics in healthcare, including quality analytics for more than 2 million patients across roughly 2,600 sites, and a first-ever data warehouse and 150 governed metrics for a multi-clinic group. I have watched the consultant's deck arrive, get admired, and get filed. My job was the part that came after: building what it described, or didn't, and making it run with the teams on the ground.
I also build and ship my own AI products, so recommendations come from use, not slides.
More about the practice →Questions
What do people ask before they book?
- What does it cost?
- Fixed price per phase, quoted after the discovery call. No hourly billing, no retainer. The Fit Check carries a guarantee: if it finds nothing worth building, you don't pay for it. A typical first engagement is the Fit Check plus one workflow: about six weeks.
- What happens to our sensitive data?
- No client, donor, or beneficiary data goes into a consumer AI tool, and none of it is requested in the first place. The policy sets the rest: least-privilege access, and human sign-off on anything customer- or donor-facing. During the build, anything of yours that touches AI goes through a commercial account whose terms prohibit training on it, with 30-day retention, and nothing connects to a system of record. What I hand you runs on an AI account you own, and I keep no access after handoff. My working copies are deleted after handoff with written confirmation. Those are contract terms, not assurances.
- Will this replace staff?
- No. It replaces the parts of the job nobody wanted. PwC's 2025 Global AI Jobs Barometer, built on close to a billion job ads, found jobs still growing even in the roles most exposed to automation.