AI adoption sounds good — until teams get stuck between hype, risk, and real work.
AI feels urgent. But no one's sure what's useful, what's risky, or how to start.
Some try. Others wait for permission. But without shared strategy, nothing moves.
Security. Ethics. Compliance. Teams want to get it right — but without clarity, they stall out.
We don't just deliver content. We build capability.
We begin with your team's tools, workflows, and goals — and shape the entire experience around them. Everything we deliver is built to support what your team actually does, not the other way around.
You'll work directly with people who design and ship real AI systems. It's hands-on, grounded, and shaped by real industry experience.
We stay involved after the workshop — answering questions, unblocking teams, and helping turn momentum into real change.
Real progress. Deep understanding. Confidence that lasts.
Your team aligns not just on what AI is, but how it fits into your workflows and priorities. This foundation helps everyone make smarter decisions — together.
We help your team understand where AI can genuinely support their work — and where it can't. That clarity unlocks focus, autonomy, and better choices.
This isn't about memorizing tools or tricks. It's about understanding core ideas deeply enough to adapt, explore, and grow — even as the tech evolves.
We stay close after delivery — answering questions, unblocking teams, and helping turn understanding into lasting momentum.
The Applied AI Kickstart Framework — Six essential steps. One outcome: lasting capability built on real work.
We start with a focused conversation to understand your team's context, needs, and where you're starting from.
Why this matters: This ensures we design something relevant and grounded — built around your real goals, not a generic workshop template.
Team members fill out a short, structured input form. It gives us insights into their roles, challenges, expectations, and experience with AI.
Why this matters: This makes the process inclusive, helps us spot patterns early, and shapes the content around your actual day-to-day work.
A short, interactive session with the team. We dig into your workflows, blockers, and goals — and surface real opportunities for AI to help.
Why this matters: This gives everyone a shared starting point. It sets the tone for the rest of the program and ensures buy-in, clarity, and context.
The main session. Built around your workflows. Focused on deep understanding, practical thinking, and long-term confidence — not tools or trends.
Why this matters: This is where the real shift happens. Teams don't just learn — they understand, together. It's the foundation everything else builds on.
After the workshop, we stay available — answering questions, unblocking issues, and supporting early experimentation.
Why this matters: New ideas often meet friction in real work. This support keeps the momentum alive while confidence grows.
After two weeks, we regroup with the team — answer new questions, resolve blockers, and help define clear next steps.
Why this matters: This session helps turn curiosity into real capability. It's where teams connect early progress with long-term direction.