Training before automation.
Teams that learn AI first become informed buyers of automation. Teams that buy automation first don't know what to ask for — or how to maintain it when something breaks.
About Seer Labs
A training company
that can also build.
Most AI trainers can only teach. Most AI agencies can only build. We do both — training creates informed buyers; automation delivers what teams can't build themselves.
01 Why it exists
Seer Labs started from a pattern: mid-market teams were spending six figures on AI tools and watching adoption stay flat. The pattern held across industries, team sizes, and tool choices.
The research made the cause obvious. 78% of organizations have AI tools, but only 20 to 40% of employees use them. Only 12% of employees feel trained. 95% of AI initiatives fail to deliver measurable impact. The problem was never awareness — it was capability transfer.
Generic AI courses produce awareness, not capability. Big consulting delivers strategy decks, not trained teams. Tool vendors teach their product, not workflows. Freelance trainers deliver one-off events without measurement.
We filled the gap. Role-specific training built from an audit. Hands-on sessions using the team's real data. Retainers to keep it current. Automation sprints when the team is ready. A full pathway, not a menu.
02 How we think
Measurement, not hope.
Every engagement includes pre/post skill assessments, adoption tracking, and time-to-task measurement. Training that isn't measured isn't training — it's theatre.
Workflow first, then tool.
We start with the department's actual workflow. Then we pick the right AI tool for that workflow. Not the other way around. Tool-agnostic by design.
A methodology, not a menu.
Five Gaps Framework. Audit → Training → Retainer → Automation. Every client goes through the same pathway because the pathway is what makes capability stick.
Say no often.
We don't do one-off workshops. We don't work with companies under 30 people. We don't work with buyers looking for the cheapest option. Saying no is how we deliver results.
03 The founder
I've been building software and ops systems for a long time. When AI became widely deployable in 2024, I started consulting companies on where to apply it. What I found was the same every time: teams had the tools. They didn't have the capability. Nobody was solving that systematically.
Seer Labs is my attempt to solve it systematically — with a methodology, measurement, and the ability to both teach AI and build it when teams need production systems.
— Founder, Seer Labs @seerlabsai
Talk to us
30 minutes to see if we're the right fit.
No slides. No pitch. A real conversation about your team's adoption problem.
Free · No commitment · No credit card