AI maturity isn't a switch you flip. It's a journey with defined stages, measurable checkpoints, and governance gates. The Maturity Model provides the framework for progressing virtual employees — and your organization as a whole — through stages of AI capability. Each stage has clear entry criteria, confidence thresholds, and success metrics that must be met before advancement.
A structured journey from passive observation through active assistance to autonomous operation. Each stage has defined capabilities, limitations, and governance requirements.
Virtual employees earn confidence scores through verified task completion. The scoring system accounts for task complexity, accuracy, consistency, and alignment with established procedures.
Advancement between stages requires passing governance checkpoints — human review, performance thresholds, and compliance verification before new capabilities are unlocked.
Beyond individual agents, the model assesses your organization's overall AI maturity — identifying which departments are ready for more autonomy and which need foundation work.
Maturity Model works in concert with other layers in the intelligence stack — each connection amplifying the capability of both components.
Remove the guesswork from AI deployment. A clear, measurable progression path gives leadership confidence that autonomy increases are justified by performance — not hope.
Discover how Maturity Model fits into your enterprise intelligence strategy.
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