CEO
What work should move to AI — and what shouldn't?
r.Potential · the unified platform
What is our potential as an organization?
We narrow an overwhelming landscape of AI options into the few human + AI configurations most likely to create value — and prove whether they did, for the business and the people doing the work.
The composite
AI capability
× Enterprise work
× The people doing it
→ the few configurations that pay.
The problem
Every leader is asking a different question.
A large enterprise runs thousands of employees across hundreds of jobs — and now thousands of new AI tools claim to do what those people do. Navigating it fast enough to decide well is nearly impossible, and inside the enterprise every leader is asking a different question.
CFO
Where did the value actually show up?
CHRO
What happens to the people?
CTO / CIO
Which agents and platforms should we scale?
The AI vendors, meanwhile, know their technology cold — but not always how work actually gets done inside an enterprise. So neither side can say where the product creates the most value. Neither sees the whole picture.
The real question isn’t what can be automated, or whether people have the right skills. It’s whether the organization has been redesigned to unlock its full potential in the AI era.
How it works
Map the work. Score the moves. Prove the value.
01 — Map
The Global Labor Graph
Every role, task and AI vendor across the market, mapped from millions of job postings and live deployments.
02 — Score
Units of Potential
Each opportunity becomes one decision — value potential × absorption readiness × a confidence level you can trust.
03 — Prove
Absorption, not adoption
Live telemetry shows whether the configuration actually landed — for the business and the people doing the work.
The unit
One decision at a time.
Unit of Potential
The optimal blend of human and AI to achieve a specific business objective — tied to its value, its absorption readiness, the path to get there, and how sure we are.
Value potentialAbsorption readinessReconfiguration pathConfidence level
Out of the noise, r.Potential surfaces the few decisions worth making. Every UoP is computed from the Global Labor Graph; every outcome flows back in, de-identified, so the next decision is sharper.
Adoption tells you what shipped. r.Potential tells you what worked.
7,197
companies tracked in the Global Labor Graph
1,245
open-field opportunities, no vendor named
100%
scored independently of every vendor
Why it has to be neutral
Neither side can grade its own work.
An AI provider can’t tell you a workflow is better left to people — or handled by a cheaper, simpler open-source tool. A workforce partner can’t tell you which work should move to AI. Each is selling its own side.
- Governed independently of every AI vendor and workforce partner — nothing buys its way in.
- Focused on tangible business value — the configurations that move the number, scored in full transparency.
- Built to simplify, not to sell — so you can actually cut through an overwhelming AI landscape.
A recommendation, not an advertisement.
It’s the principle we hold most tightly for our clients. For the substrate, the scoring, and the confidence behind every number, see Methodology.
What is your potential?
See where AI creates value across your organization — and whether it can absorb it.