1
Working AI tool, in production
Built on the software your team already pays for. Integrated with your existing systems. Usable by the named owner from your team on day one of week six.
Offering · 6 weeks · Fixed price
Rapid AI Pilot.
One AI use case. Six focused weeks. AI your team is using on a Tuesday afternoon, with an ROI number your CFO can defend. No deck, no proof of concept that goes nowhere.
1 · Who this is for
A great fit if you're…
- An SMB doing $2M to $50M in revenue with a specific bottleneck (lead qualification, churn, ops automation, customer support load) and a clear sense of what "better" would look like
- Sitting on customer, ops, or product data your team has been wanting to do something useful with for months
- Your founder, CEO, or COO can decide in the room and won't make us re-pitch a procurement committee
- Tired of long discovery phases. You'd rather see something working by week three
Probably not a fit if…
- • You don't yet know which bottleneck to target. Start with the AI Readiness Audit instead
- • The question is more analytical than operational (segmentation, forecasting, churn drivers). Look at Targeted Analytics for Growth
- • 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 for your business.
2 · What you get
One AI tool. Built and integrated. Yours when we leave.
Every pilot ends with the same five things in your hands. No "executive insights," no theoretical models. Things your team uses on day one of week six.
2
A defined ROI metric
Agreed at kickoff, measured at the end. Something your CFO would recognize: hours saved, revenue lift, customers retained, support tickets deflected, deals influenced.
3
A 90-day scale roadmap
If the pilot worked, this is the plan to put it in front of more of your team and connect it to more of your systems. Step by step. With effort estimates and decision points.
4
Documentation written for humans
How the tool works, what it relies on, where to look when something breaks. Written for the operator who'll use it every day, not for engineers.
5
A leadership readout
A 60-minute working session walking your leadership team and (if relevant) your investors or board through the tool, the result against the ROI metric, and the recommendation on whether to scale.
Sample use cases
The AI tool you'll have in week six.
Not exhaustive. These are the pilots we get asked about most often. The right one for you depends on the bottleneck, which we'll figure out in the scoping call.
Lead scoring model
A model that ranks inbound leads by likelihood to close, integrated into your CRM. Sales spends time on the right ones first.
Customer churn prediction
Surfaces accounts at risk of churning before they cancel, with the signal driving the risk score. Customer Success works the list.
Tier-1 support drafts
An assistant that drafts responses to common support tickets using your knowledge base and past tickets. Agents review, edit, and send. Faster replies, same quality.
Sales call summarization
Auto-generated call summaries with named action items, dropped into your CRM after every call. AEs spend the saved time selling.
3 · Timeline
Four stages. 6 weeks. Every time.
The same proven sequence we use across every Rapid AI Pilot, calibrated to an SMB team's pace.
Six-week sprint
From use case to AI in production
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1
Week 1 · Discovery
Lock the use case, agree on the ROI 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 the systems your team already uses.
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3
Weeks 4–5 · Build & test
Build in weekly increments. Demo every Friday. Adjust based on what your team sees in their actual workflow.
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4
Week 6 · Handoff
Final readout. Documentation handed over. Your owner takes the keys. Engagement ends.
4 · Price
Fixed fee. Six weeks of senior delivery, focused on one thing.
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 investor or board readout.
- › Final price set after a 30-minute scoping call
- › Three installments: kickoff, week three, final readout.
- › No hourly billing, no scope creep, no surprises
5 · What happens after
The pilot ends. The AI keeps working.
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 week seven looks like.
The tool is yours
Code, models, documentation, accounts. Everything we built belongs to your business. Built to run on the systems you already pay for, with no recurring fees to us.
If you want help scaling
The 90-day roadmap is yours to execute in-house. If you'd rather have senior data leadership on retainer 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 tool is performing in production. No hidden invoice. It's part of every pilot.
FAQ
Common questions.
What if the tool doesn't deliver the ROI we agreed on? +
It happens. The ROI metric is set up front, so we know clearly. If the result 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 your data is in rough shape. If you already know the bottleneck, your data is reasonably accessible, and there's an executive sponsor who can decide in the room, you can go straight into the pilot. If not, the audit is a more focused way to land on the right starting point before committing to the build.
Can the tool use generative AI? +
Yes, when it's the right tool. Many of our SMB pilots use large language models for tasks like summarization, classification, intake, and draft generation. We'll only recommend it when it's responsible, when your data policy allows it, and when it solves the actual problem better than a simpler approach.
Which systems do you integrate with? +
The ones you already use. Salesforce, HubSpot, Stripe, Shopify, Snowflake, BigQuery, Postgres, Zendesk, Intercom, Notion, Airtable, Google Workspace, Microsoft 365 are all common. If your systems have an API or a halfway decent export, we can work with them. We bring this up in the scoping call so there are no surprises.
Pick a use case. Put it to work 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.