About RipplLabs
AI tools don’t change how a team works.
Workflows do.
We're a small team of practitioners. We teach what we run every day: the workflows behind your contracts, your inbox, your decks. Not slides. Not theory. The work.
Why this company exists
Most AI training is bought as a license and never changes a workflow.
The average company we talk to has already spent six figures on AI licenses. Claude. ChatGPT. Copilot. Gemini. The contracts are signed, the seats are provisioned, the all-hands has happened. And six months in, three out of four people on the team still aren't using any of it.
The license is not the gap. The skills are. There's a layer between a team and a tool that nobody sells: the workflows reshaped around what the tool is actually good at, the habits that turn one person's clever Tuesday into the team's default Friday, the prompts written against your actual documents underneath it all. That layer takes practice. It does not take another webinar.
We exist because that layer is what closes the gap. We don't sell licenses. We sell the work of getting your team to use the ones you already have.
How we work
Four moves. In order. Every engagement.
Most AI consultants run a generic workshop and disappear. We don't. Here's what every engagement looks like, from the first call to the day adoption sticks.
- 01
We listen first.
Before we build anything, we sit on a call with three people from your team. The skeptic, the power user, and the leader. We ask what they tried. What they abandoned. What’s on their desk this week that AI should be touching and isn’t.
- 02
We rebuild the workflows around your real work.
Generic prompts don’t survive contact with your stack. We pull your actual contracts, your actual decks, your actual inbox, and we write the prompts your team will reuse on Monday. They walk in with nothing. They walk out with a saved library.
- 03
We sit with the team while they ship.
The training is hands-on. People work on the deliverables they were already going to send next week. We’re in the room. We watch where they get stuck. We rewrite the prompt with them. By the end of the session, two automations are running in production.
- 04
We measure, then we stay.
Pre and post skills assessments. Adoption tracked at thirty, sixty, ninety days. Two weeks of Slack support after the workshop, included. If a team isn’t using what we taught, we come back and fix it. That’s the deal.
Practitioners, not consultants
The person on the call is the person running the workshop.
We're not a network of subcontractors. We don't have a sales team that books and a delivery team that shows up. The same person who scopes your engagement is the same person standing in front of your team three weeks later. That person uses Claude, ChatGPT, Copilot, and Cursor every day to ship real work, including the work behind this page.
What we're using this month
- Claudefor long-context document work and code review.
- ChatGPTfor fast research drafts and meeting prep.
- Copilotfor inline writing across Word, Excel, Outlook.
- Cursorfor building everything we ship internally.
What we believe
Three things, in plain language.
- 01
Adoption is a habit, not a license.
If your team isn’t using the tool by week six, the contract is the most expensive shelf decoration in the building. We measure habit, not seat counts.
- 02
Specific beats generic. Always.
A prompt written against your actual procurement contract is worth a hundred prompts about "a sample contract." We don’t run demo workshops. The work in the room is the work on your desk.
- 03
If we can’t measure it, it didn’t change.
Skills assessment before. Adoption tracking after. If the numbers don’t move, we don’t get to claim the work moved. That’s the whole accountability surface.
Built for. Not built for.
We’re useful for some teams. And not for others.
We'd rather tell you no in the first call than waste your training budget. Here's the honest fit.
Built for
- Teams of 20 to 500 ready to do the work, not outsource it.
- Leaders who want behavior change, not a deck to forward.
- Organizations with at least one paid AI license already in place.
- Buyers who can name two specific workflows they want changed.
Not built for
- Anyone hoping to outsource the learning.
- Teams that want a one-and-done webinar for compliance.
- Buyers who care more about the polish of the deck than the result.
- Companies still deciding whether to use AI. We come in after that call.
From the founder
Most teams don’t need another framework. They need someone in the room when the prompt breaks at 4pm on a Tuesday. That’s the work we do. We sit with your team while they ship, we rewrite the prompts that don’t survive contact with your contracts, and we stay long enough to see whether anything actually changed. The trade is simple: smaller scope than a Big Four engagement, more attention than they’d ever give you, the same practitioners from kickoff to follow-up.
For what it’s worth, I do this work myself every day. Eight-plus years across Azure and Google Cloud, and at one of North America’s largest equipment rental companies I built and own an internal AI platform that engineers and leadership use daily. It cut change authoring from five or six hours to under one, and executives pull their own reporting from it without engineering help. I onboarded every engineer on the team on how it works, so adoption never depends on me. One of them was a senior AI skeptic. He’s now a daily user. If that’s the shape of help you want, the call is below.
Karan Patel
Founder, RipplLabs
We train teams on the tools built by Anthropic, Google Cloud, Microsoft, and OpenAI. We picked the four builders, not a reseller network, because the only people who know the tools better are the ones writing them.