Enterprise AI Measurement Guide
Workflow Intelligence
AI in Workflows
What percentage of tracked workflow runs involve AI, and how is that percentage trending?
What it shows
AI in Workflows measures the percentage of tracked workflow runs that include active AI tool involvement, not just whether engineers have AI tools installed, but whether AI appears in the workflow steps the team actually executes. The trend shows whether AI is becoming more or less embedded in the operational workflows over time. This metric distinguishes AI adoption (who has tools) from AI integration (where AI shows up in actual work sequences).
Why it matters
Larridin customer data shows one life sciences organization with 43.3% AI adoption but only 1% AI in Workflows, employees using AI for ad hoc tasks but not woven into the workflows that drive the business. A separate instance showed 90.9% adoption but only 58% of workflow runs involving AI, and that number was down 11% from the prior period, meaning adoption went up while AI workflow integration went down simultaneously. Both patterns represent a strategic gap: investment in tools without investment in workflow redesign. AI in Workflows is the metric that surfaces that gap.
The Larridin angle
Larridin's Workflow Intelligence platform captures AI presence at the workflow-run level, not at the tool-installation level or the session level. That means AI in Workflows reflects actual operational reality: whether engineers and other employees are reaching for AI tools when they execute the specific processes that make up their jobs, not just whether they have access to them.
Related Workflow Intelligence Metrics
Common questions
What does 'AI in Workflows' measure?
'AI in Workflows' measures the percentage of workflow runs that actively involve AI tools, reflecting their integration into operational processes rather than just their availability.
Why is the 'AI in Workflows' metric important for the C-suite?
This metric highlights the gap between AI tool adoption and actual integration into workflows, helping executives understand whether their investment in AI is effectively enhancing business operations.
How does Larridin's platform capture AI usage in workflows?
Larridin's platform captures AI presence at the workflow-run level, providing insights into actual operational use rather than just tool installation or access.
What strategic gaps can the 'AI in Workflows' metric reveal?
It can reveal discrepancies where AI tools are adopted but not integrated into workflows, indicating a need for workflow redesign to fully leverage AI capabilities.