Awareness
From "AI exists" → "I understand what it does"
Where generic courses stop.
Your AI adoption has five gaps.
Most training only closes one.
A framework from 50+ enterprise surveys on why AI investments stall — and what to do about it.
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01 Awareness — where everyone else stops
02 Application
03 Team
04 Production
05 Trust
We work at Gaps 2 through 5.
01 The research
50+ enterprise surveys78%
of organizations have AI tools. Only 20 to 40% of workers actually use them.
Multiple (Deloitte, McKinsey)
95%
of AI initiatives fail to deliver measurable impact.
MIT
The problem isn't awareness. It's capability transfer.
02 The framework
Read the full frameworkFive gaps between buying AI and actually using it.
Application
From "I understand it" → "I can use it in my work"
Role-specific, hands-on training.
Team
From "I can use it" → "My team works with AI together"
Cross-functional workshops and manager enablement.
Production
From "It works in a pilot" → "It works at scale"
Automation sprints to build what teams can't.
Trust
From "We use AI" → "We trust and govern AI"
Governance literacy embedded in every track.
03 The method
See all servicesA system, not a menu.
One pathway. Four engagements that build on each other.
04 Fit
You'll get value if…
- You're 50 to 500 employees.
- You bought AI tools; adoption is flat.
- Generic training didn't stick.
- You want measurement, not hope.
- You want training built around your actual departments and tools.
We're not for…
- Teams under 30 people.
- Companies wanting a one-off lunch-and-learn.
- Teams looking for the cheapest option.
- Buyers who want a strategy deck, not capability.
05 About
I started Seer Labs after watching too many teams spend six figures on AI tools, then sit through generic training that didn't stick. The research was clear: the problem was never awareness — it was capability transfer. So I built a methodology around closing the gaps generic courses ignore, with measurement built in.
I can teach AI. I can also build it. Most consultancies only do one. This is why Seer Labs exists.
— Founder, Seer Labs
Free guide · Professional services
The AI Adoption Gap. A field guide for leaders.
7 chapters, 5 named case studies (Deloitte, Kaufman Rossin, LiveCA, Forvis Mazars, Ingersoll & Rooney), and a 90-day plan. Built on data from MIT, Deloitte, Thomson Reuters, and EY.
06 Common questions
How is this different from generic AI workshops?
We don't do off-the-shelf. Every program is custom-designed around your team's actual workflows, tools, and departments. Your marketing team gets different training than your ops team, because they use AI differently.
How long until our team is productive with AI?
From day one. AI enables everyone, not just technical staff. Our training is hands-on from the start, so your team leaves each session with skills they can use immediately.
Do we need a technical team?
No. Anyone can use AI. Our programs are designed for every role — from operations to marketing to finance. No coding experience required.
What if we've already tried AI training and it didn't stick?
That's exactly why we exist. Generic courses produce awareness, not capability. Our training is personal — custom-built for your use cases, your tools, and the way your team actually works.
What size teams do you work with?
50 to 500 people. We split teams by department and tool-based use cases so the training is relevant to each group's daily work.
What do we get at the end?
A team that actually uses AI, not just knows about it. You also keep the full audit findings, your custom curriculum, and role-specific playbooks your team can reference long after training ends.
Ready?
Stop guessing.
Start measuring.
A 30-minute call to see if we're the right fit. Zero commitment.
Free · No commitment · No credit card