A 10–20 person recovery-services nonprofit in Windham, Ohio centralized every system it runs on — CRM, 700+ spreadsheets, accounting, inbox, documents — into one command center it can question in plain English. This is what that took, what it returns every year, and what the same move is worth to your organization.
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Every real answer — how are we doing, who owes us, what's due, what did we decide — is assembled by hand from systems that don't talk to each other. The assembling is done by your most expensive people, it's done over and over, and things fall through the seams between the systems.
At Hope Town, before: 4+ systems per question, a half-day to build one full picture of the organization, and a 15–25% rate of important things slipping — emails buried, commitments dropped, deadlines remembered late.
This isn't a new software subscription. It's a layer over the systems you already own — built in weeks, refreshed with one click, and answerable in plain English.
CRM, spreadsheets, accounting exports, calendar, tickets, documents — one click, under a minute, timestamped. No more logging into five systems to answer one question.
A canonical layer ties every figure to where it came from and when. Grant duties carry evidence. Decisions and commitments are recorded, not remembered.
“What's our receivables position?” “What did we commit to the board?” Plain-English answers, with the source documents attached. Your data finally speaks.
You read a short, ranked list — not the whole organization.
The system has already checked every number against every source and ranked what's off — with the evidence attached. What's fine says “checked and clear,” so silence is confirmed, not assumed.
Overnight email is sorted into “Needs you” vs “FYI” — three times a day. Seven hours a week of reading became ninety minutes, and time-sensitive items surface the same day instead of getting buried.
Each item that needs a decision is a card with a verb on it. You decide; the system executes and files the record. A person stays in every loop — that's enforced in code, not just written in policy.
Every automation is documented the same way — Before → Intervention → After → Value — in one live ledger. Every case study, board report, and ROI figure is generated from that same ledger, so the story is identical everywhere it's told.
We would rather understate the value and be believed than overstate it and be doubted.
All recovered time is costed at $32/hour fully loaded — Ohio nonprofit admin pay grossed up for taxes, benefits, and overhead. Executive and clinical time is worth far more. We count it at $32 anyway.
Annual figures use 50 working weeks to account for holidays and PTO. The trim always goes against us.
Fewer errors, faster reporting, and reduced compliance exposure are documented — but never converted to dollars. The totals stay purely labor-based and defensible.
Before, each manual process missed, dropped, or mis-keyed 10–25% of what passed through it — buried emails, forgotten commitments, re-typing errors between systems. After: 1–4%.
In a small organization, a dropped commitment or a missed grant deadline is the most expensive kind of error there is. The hours are the visible saving. This is the bigger one.
The ledger you just saw is the documented, before-and-after-evidenced subset. Counting every hour of AI and automation leverage across all staff — CRM workflows, AI assistants, transcription, a local AI server, an internal knowledge bot — the whole-organization picture, costed on the same $32 basis:
The part boards and funders ask about first isn't the savings. It's the control.
No automated action can touch anyone's housing, treatment, employment, benefits, or rights without a human decision. Not policy on paper — a rule enforced in the code itself, so even a bug can't cross it.
Every grant and contract duty sits in one register with its deadline and required evidence. Nothing is marked “Met” without evidence attached — so gaps show up before an audit, not during one.
Commitments, decisions, and open questions are recorded once and raise themselves when due. Follow-through stops depending on anyone's memory — including yours.
Outcome reporting is built from de-identified aggregates only. Protected health information never reaches the dashboard — the HIPAA / 42 CFR Part 2 exposure of hand-built reports simply goes away.
Slide these to match a normal week at your organization. We apply a 75% reduction — below Hope Town's measured average of 80% — at your own loaded rate.
Two hours with your leadership. We map where your answers live today, where the hours and the misses are, and which two or three workflows would prove the model fastest at your organization.
Not a mock-up. Your systems, centralized and structured, with the first live workflows — a command center your leadership opens on a Tuesday morning and actually uses.
Every workflow is documented before-and-after as it ships, so the ROI case for your board and funders builds itself — in numbers deliberately low enough to defend.
Ted St. John · CEO, Hope Town Ohio · hopetown.ai — Everything in this presentation is a real system running in production today, and the numbers are recomputed live from the same ledger Hope Town uses internally.