1
A working prototype
Built on the software you already have. Usable by the team member you named at kickoff, on day one of week six.
Offering · 6 weeks · Fixed price
Rapid AI Pilot.
One real AI use case, six focused weeks, a working prototype your team can defend at the next board meeting. No deck, no proof of concept that goes nowhere.
1 · Who this is for
A great fit if you're…
- A nonprofit with $1M to $50M in annual budget and a specific AI use case in mind, even if it's still rough
- Sitting on data your team has been asking to do something useful with for months or years
- Ready to commit one named owner from your team for six weeks, two to four hours per week
- Tired of long discovery phases and want to see something working by week three
Probably not a fit if…
- • You're not sure where to start. Start with the AI Readiness Audit instead
- • Your data lives in one system that's never been cleaned, with no clear owner
- • You want a 30-engineer build team, not a senior partner
- • The use case requires regulated data your team isn't authorized to share with us
Not sure? Take our free 2-minute AI assessment. You'll get a clear read on whether the pilot is the right next step.
2 · What you get
A working AI prototype. On your data. Owned by your team.
Every pilot ends with the same five things in your hands. No "executive insights," no theoretical models. Things your staff can use on Monday.
2
A defined success metric
Agreed on at kickoff, measured at the end. Something a board member would recognize: hours saved, dollars raised, applications processed, families served.
3
A 90-day scale roadmap
If the prototype works, this is the plan to put it in front of more of your team. Step by step. With effort estimates and decision points.
4
Documentation written for humans
How the prototype works, what it relies on, where to look when something breaks. Written for the program staffer who'll inherit it, not for engineers.
5
A leadership and board readout
A 60-minute working session walking your leadership team and (if you want) your board through the prototype, the result against the success metric, and the recommendation on whether to scale.
3 · Timeline
Four stages. Six weeks. Every time.
The same proven sequence we use across every Rapid AI Pilot, sized to a nonprofit team's pace.
Six-week sprint
From use case to working prototype
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1
Week 1 · Discovery
Lock the use case, agree on the success metric, identify your team's named owner.
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2
Weeks 2–3 · Data & design
Pull the data we need, design the approach, validate the architecture against your existing software.
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3
Weeks 4–5 · Build & test
Build the prototype in weekly increments. Demo every Friday. Adjust based on what your team sees.
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4
Week 6 · Handoff
Final readout. Documentation handed over. Your owner takes the keys. Engagement ends.
4 · Price
Fixed fee. Stated openly.
We don't bill by the hour and we don't pad scope. You'll know the number before you sign.
Rapid AI Pilot
$50,000 to $80,000
Fixed fee. Includes all five deliverables, the leadership readout, and the optional board readout.
- › Final price set after a 30-minute scoping call
- › Payment in three installments: kickoff, week three, and final readout
- › No hourly billing, no scope creep, no surprises
5 · What happens after
The pilot ends. Your team owns it.
We don't sell software, we don't bill ongoing licensing, and we're not waiting in the wings to charge you for support. Here's what happens when our six weeks are up.
The prototype is yours
Code, models, documentation, accounts. Everything we built belongs to your organization. Built to run on the software you already pay for, with no recurring fees to us.
If you want to scale
The 90-day roadmap is yours to execute in-house. If you'd like ongoing senior data leadership while you do, look at Fractional Data Leadership. Optional, separately scoped.
A 60-day check-in is included
Sixty days after the readout, we get on a 30-minute call with your team to see how the prototype is performing in production. No hidden invoice. It's part of every pilot.
FAQ
Common questions.
What if the prototype doesn't work? +
It happens. The success metric is set up front, so we'll know clearly. If the prototype misses the mark, the readout includes the honest reasons why and what we'd recommend instead. You still own everything we built and everything we learned.
Do we need to have done the AI Readiness Audit first? +
No, but it helps. If you already know the use case and have an executive sponsor who can make decisions in the room, you can go straight into the pilot. If not, the audit is a faster, cheaper way to find the right starting point.
Can the prototype use generative AI? +
Yes, when it's the right tool. Many of our pilots use large language models for tasks like summarization, classification, and intake. We'll only recommend it when it's responsible, when your data policy allows it, and when it solves the actual problem.
What examples of nonprofit pilots have you done? +
A regional nonprofit ran a six-week engagement with us that reduced their manual reporting time by 60%, freeing program staff to spend more time on mission delivery. We're publishing more case studies as engagements close. See the full set on Insights.
Pick a use case. Ship it in six weeks.
Book a 30-minute scoping call with a senior principal. We'll know in the first 15 minutes whether your idea is pilot-ready.