Your team is already using AI
Now add AI for information structure
AI has not eliminated the cost of unmanaged information
It's made information quality more financially visible
It's made information quality more financially visible
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According to the Federal Reserve Bank, corporations spend almost $20 trillion dollars per year in payroll.
This means US corporations are bleeding $2.34 trillion/yr due to frustrating doc searches. AI did not stop the cash hemorrhage. "While workers are following mandates to use AI, few are seeing real value come out of it yet." — Harvard Business Review Learn AI best practices One money saving step is architecting the information before AI-generates more at record speeds. |
Click to see the abstract on how AI didn't fix the corporate bleeding of $2.34 trillion per
year
Click here to download the abstract (1-minute read).
Contact us if you want help fortifying your critical knowledge base. |
Use AI Information Architecture workflow to
fix the payroll leak search problem
before using AI enterprise wide.
fix the payroll leak search problem
before using AI enterprise wide.
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Click images for how to use AI with RAG and the valuation gap.
click to download a PDF on Information architecture as the control layer for enterprise RAG.
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click to download a PDF on the valuation gap, how did it start and where we are today.
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- low-trust AI output
- rework and editing required
- validation burden
- stalled ROI
$2.34 trillion per year lost to payroll leakage. $11.7 trillion dollars per year lost internationally, search tax. Bad docs hurt corporate trust. Use AI agent solutions for fast Information Architecture solutions.
