Skipper AI
Most AI consultants disappear once the tools are installed, right before the intentional steps that actually make AI stick. We don't skip them. We stay: configuring, integrating, and training your team on systems built around how you actually work, until the login becomes a habit. Every decision is made around your workflow and your goals.
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We stand up the environment your team actually works in, Langdock at the core, with Claude, ChatGPT, Gemini, or whichever models fit best, wired into your knowledge, permissions, and tools. Assistants that know your context, guardrails that match your policies, integrations that fit your stack. Not a generic install: a workspace shaped around your organization.
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Adoption doesn't come from a login, it comes from people who know how to use the tools. We run hands-on workshops built around your real workflows, turning early adopters into in-house champions who carry it forward. Educators and schools get dedicated pricing.
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Our flagship engagement: Langdock stood up across an entire organization and actually used, 5,000+ people trained, ~95% still active months later.
It starts with a free use-case validation session to find where AI pays off. From there: role & group architecture, integrations into the tools your teams already use, the first agents and workflows, and the change-management that turns a one-time login into a daily habit, with adoption tracking so you can see it land.
Hands-on workshops that build real capability, the playbook behind our 90%+ adoption. We teach inside your real workspace, not a slide deck.
Prompting frameworks that transfer to real work, when to reach for an agent vs. a workflow, and how to wire in live company knowledge so answers are grounded in your data. Each session is tailored to the team in the room, and we validate the highest-value use cases first.
When advice isn't enough, we ship: AI products, data marts, and the infrastructure behind them. Our ‘we build it’ lane.
Fractional AI product + data engineering: project management and coordination, a data mart to unify scattered data, phased product management to ship in the right order, and the API knowledge to wire it all together, validated up front so it has a clear payoff.
Intentionality through change has never been more important. The tools are the easy part, it's the steps most firms rush past, the change management in between, where AI actually sticks or quietly dies.
Skipper AI exists to not skip them. We've driven 90%+ adoption not because of the platform we picked, but because we refuse to skip the intentional steps, validating where AI fits, rolling it out, training the people who'll use it, and building what's needed, with the same care from the first call to daily use.
Thirty minutes, no cost. We'll pressure-test where AI actually fits your business, and map the intentional steps most firms rush past.
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