IcebreakerAI

Your workforce already has AI tools. We make sure they actually use them.

Role-specific AI configuration, delivered at scale. From organizational blueprint to live deployment in weeks.

“Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it.”

ANDREJ KARPATHY

Former OpenAI co-founder · December 2025

95%

of AI pilots fail to reach production scale

MIT

of employees agree AI has transformed their work

vs. 42% of C-suite

2.3/10

average employee prompting proficiency

5,000+ tested

70%

of AI challenges are people and process — not technology

Industry research

The Problem

Three structural gaps explain why AI adoption stalls

The gap between “we have Copilot” and “our people use Copilot effectively” is where billions of dollars in productivity are stuck. The root causes are structural.

THE SKILL GAP

39%

of employees have received any AI training. Training budgets get 5–10% of AI spend — yet 70% of challenges are people problems.

THE IMAGINATION GAP

55%

don’t know where to start with AI. It’s not resistance — it’s the absence of someone translating “what AI can do” into “what YOU should do with it.”

THE MENTOR GAP

70%

of workplace learning happens through mentorship. But when the technology changes this fast, there are no “seniors.” The system has to become the mentor.

See the full research

What We Do

We build the organizational digital twin

A live, structured model of the work, roles, tasks, skills, and capability relationships — the substrate that makes AI transformation achievable in months instead of years. Without it, organizations hit a ceiling. With it, every AI capability compounds.

For enterprises

We decompose your workforce into atomic tasks, map each one to AI capabilities in your existing tool stack, and generate role-specific prompts and agent recommendations — all QA-scored before delivery.

See enterprise approach

For individuals

The same analytical framework, adapted for you. Tell us what you do — your job, your hobbies, your goals — and we deliver specific, practical AI guidance tailored to how you actually spend your time.

Coming soon

How It Works

We draft first. You react. Nobody creates from scratch.

A typical engagement runs 4–6 weeks from kickoff to first deployment.

Phase 1

Research & Strawman

We build the first draft before your team spends a minute

Phase 2

Validate & Decompose

Your team corrects our strawman. We decompose roles into atomic tasks.

Phase 3

Generate & Score

AI generates role-specific prompts. Every output QA-scored. You only see what passes.

Phase 4

Deploy & Enable

Content delivered into your tools. Training in the workflow, not a classroom.

~6 weeks

End-to-end delivery

~5 hours

Your team’s time investment

New tools to deploy

100%

QA-scored before delivery

See full methodology & deliverables

Current Focus

Serving enterprise clients now

We’re currently working with enterprise clients in environmental health and safety, insurance services, and corporate operations. Our system handles any industry — the analytical framework adapts to the domain.

Talk to us