AI Adoption • Team Performance • Human Oversight
AI adoption software that helps teams work better
The worxogo Macroability Agent is AI adoption software that helps leaders improve how teams work with AI agents. It tracks delegation, review and abandonment behaviors, identifies adoption barriers and nudges people in real time. An Agentic Transformation Score brings progress into one view while people remain accountable for quality.
Help teams build the habits AI adoption needs
Working with AI agents changes people’s roles, not just their tools. As people move from Executor to Partner to Supervisor, Macroability helps them build the habits and judgment each role needs.
Executor
Completes the task directly and takes responsibility for the result. Success depends on their own knowledge and execution.
Partner
Works alongside an AI agent, reviews its suggestions and corrects what needs attention. Success depends on knowing when to use or challenge the output.
Supervisor
Directs and validates work completed by AI agents. Success depends on judgment, quality checks and knowing when to intervene.
Why do AI adoption programs need new measures?
Powered by
AI
AI pilots rarely fail on technology. They stall when they meet the real workforce. Turnaround time and average handle time still matter, but they do not explain why adoption stalls. Macroability shows how people delegate, review and work with AI, so leaders know where to act.
How does Macroability support AI adoption ?
Which adoption behaviors are tracked?
Macroability tracks what people delegate, edit, override or abandon to show how AI fits into daily work.
When can leaders spot adoption barriers?
Macroability identifies friction as it happens, helping leaders respond when people struggle or disengage.
How do nudges support adoption?
Nudges grounded in worxogo’s Motivation-Behavior science encourage more effective ways of working with AI.
How is human oversight supported?
Macroability flags patterns of overreliance or insufficient checking, helping teams give AI output the scrutiny it needs.
What informs the behavioral approach?
Built on 2 billion+ interactions, the approach draws on worxogo’s frontline behavior data to support the habits that drive AI adoption. Explore the worxogo Behavior Framework.
Support your people. Keep managers involved.
Delegation
See whether work is moving to AI agents and where people need support to hand it over. Example metric: Task delegation ratio
Friction
Identify where people disengage or abandon AI workflows, and the barriers behind those patterns. Example metric: Session abandonment.
Behavior Interface Guardrails
See where review habits and escalation behaviors need attention to support responsible oversight. Example metric: Escalation rate.
Trust & Psychology
Understand how confident people feel working with AI and whether they are comfortable challenging its output. Example metric: Override confidence.
Output & Quality Velocity
Track speed and quality as more work shifts to AI agents, including how much output people need to revise. Example metric: Edit distance.
Outcome
Track operational results alongside adoption to see where human and AI collaboration needs improvement. Example metrics: Turnaround time and average handle time.
What is the Agentic Transformation Score?
One Agentic Transformation Score
The Agentic Transformation Score combines six dimensions of human and AI collaboration into one score out of 100. It helps leaders track adoption progress and identify where support is needed.
See what needs attention
Good, Borderline and Needs attention indicators show how each dimension compares with its target.
Understand the numbers behind the score
Open a dimension to inspect measures such as task delegation, time to first action, output edits and session abandonment.
Focus your next review
The agent highlights the dimension with the largest decline, helping leaders direct attention where it is needed.
Review progress by week, month or quarter, and across Sales, Support and Operations teams.