knowledge workers studied in Human-AI collaboration.
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Human Machines
Human-AI transformation
Redesign work so people and AI get better together.
Human Machines uses Corrix, its proprietary Human-AI collaboration system, to measure how the work performs, how the relationship functions, and whether human expertise grows with the technology.
For CEOs, COOs, CHROs, and transformation leaders who need AI adoption to improve real work.
20 yrsof strategy and innovation experience behind the practice
human and AI messages analyzed.
behavioral metrics across the collaboration.
Team experience includes
Walmart · Vanguard · Diageo · Mastercard · Coca-Cola · Nestlé · Pfizer · 3M
Powered by Corrix
Measure the collaboration, then redesign the work.
Human Machines connects strategy, operating design, capability building, and a working measurement system.
Define the outcome.
Start with the work that matters and the role human judgment should play inside it.
Measure collaboration quality.
Use Corrix to see where reliance, dialogue, skill, and decision quality strengthen or break.
Redesign the workflow.
Set roles, handoffs, escalation, and accountability around how people and AI should operate.
Build the capability.
Develop the judgment and habits teams need to improve the system through use.
The Three Rs
A complete score for Human-AI performance.
is the output better?
Measure decision quality, accuracy, error rates, and efficiency as the lagging indicator.
is the interaction healthy?
Measure reliance, trust calibration, and the quality of dialogue while the work is happening.
can the system improve?
Measure cognitive sustainability, skill trajectory, and whether human expertise is being preserved.
Start with the work itself
Where does your team need a better way to work with AI?
Choose a piece of work your team does regularly and tell me what’s proving difficult. We can look at how Human Machines would approach the workflow with the people doing it.
Talk with Jason