For senior leaders
Find AI that works.
Prove it did.
AI infrastructure to find the combinations of humans and agents that create real value — then prove, with evidence, that they did.
Independent by design · Evidence over adoption
Your AI strategy
$0.0M
estimated annual value · modeled
12 configurations · 4 in motion · one portfolio
-
Reorient field sales around agent-assisted discovery
$12.4M
In motion -
Claims triage — human review, agent first-pass
$9.1M
In motion -
Contract analysis across procurement
$7.8M
Modeled -
Tier-1 support deflection with escalation guardrails
$6.2M
In motion -
Engineering onboarding — agent-paired ramp
$4.9M
Modeled
Re-ranking as deployment evidence arrives
7,000,000+
companies mapped in the Global Labor Graph
~2,000,000,000
workers represented across every major market
Every
major AI vendor tracked, ranked on evidence
The problem
Knowing what AI can do is no longer the hard part. Knowing what’s worth doing is.
Enterprises face an impossible field of AI options — thousands of vendors, endless pilots, and no shared way to decide what deserves capital and people. Adoption metrics tell you what shipped. They don’t tell you what worked.
r.Potential gives leaders one coherent picture: where AI investment should go, what it will do to your workforce, and — once it’s in motion — whether it actually created the value it promised.
The platform
From an impossible field to a ranked portfolio
01 — The map
A live map of how AI is actually meeting work
r.Potential starts from a comprehensive, continuously updated view of AI deployment across more than seven million companies, nearly two billion workers, and every major AI vendor — built on decades of proprietary employment data. Not vendor claims. Observed reality.
- 7M+ companies mapped
- ~2B workers represented
- Every major AI vendor tracked
Three layers of intelligence
Built to answer the questions boards actually ask
01
Integrative intelligence
Configurations grounded in unified market and company data — your organization placed precisely within the global picture of work.
02
Adaptive intelligence
Configurations that respond to real-time agent performance — what your deployed humans and agents are actually doing, today.
03
Predictive intelligence
Simulated scenarios for the C-suite — test workforce configurations before you commit capital or people to them.
How it works
Map. Model. Move. Measure.
01
Map
Place your organization within the Global Labor Graph and see where AI is already meeting work like yours.
02
Model
Receive a ranked portfolio of Units of Potential — each with value, impact, and confidence attached.
03
Move
Put configurations in motion with your teams and vendors, guided by evidence instead of pilots-by-vibes.
04
Measure
Watch rankings re-score against deployment reality. Double down on what worked. Kill what didn’t.
Independent by design
No vendor buys a ranking
Recommendations are governed independently and cannot be influenced by vendor sponsorship. What rises in your portfolio rises on evidence — honest, defensible, and auditable when the board asks how a decision was made.
Read the methodology →“Poor planning could lead to millions impacted by job loss — or billions in failed AI investments. Our goal is to automate work without dehumanizing workers.”
Stop guessing.
Start proving.
See what your AI strategy is actually worth — and what it should be.