What becomes visible when work can describe itself.
Field studies of how teams find useful AI work, build recurring workflows, and keep important decisions with people. Every published figure is separated from estimates and future scope.
Evidence from real work.
Documented work, methods, and boundaries from organizations using AUGMTD.
How a chamber of commerce is using AI to brief its leaders and find opportunities for members
AHK Portugal is testing two recurring workflows that turn weekly monitoring into sourced briefings and reviewed member opportunities.
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Field study · AI use-case discovery
How SCB mapped 470 workflows and found high-value AI use cases
Seventy-five employees across 16 departments described their daily work in plain language. AUGMTD structured it into 470 workflows and identified 58 detailed workflows as candidates for AI-supported work.
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How a regulated bank created a safer alternative to shadow AI
Sensitive client work could not be shared with public AI tools. The bank needed an approved option useful enough for real workflows and controlled enough for regulated work.
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