Delta Arc report · Operating intelligence
Your AI is faster. Is the business outcome better?
The AI Value Leakage Report: Why faster work still fails to become operating value.
Get the report and worksheetKey findings
- A faster task is not yet an accepted operating outcome. The gap between them is what this report calls AI value leakage, an analytical lens rather than a measured loss.
- Value can leak at five stages: evidence, interpretation, handoff, action and learning. Find the failure before prescribing a tool.
- Measure effort per accepted case and elapsed time to an accepted outcome, because freed capacity is not automatically a cash saving.
- Start with one recurring workflow where evidence can be inspected, the outcome can be observed and failure can be contained.
What is inside
- A five-stage leakage map and what to inspect at each stage
- A worked economic illustration, labeled synthetic
- Bounded first workflows in six fields
- A 30-day diagnostic with deliverables
- Three conditional 2027 scenarios and the board questions
- A companion measurement worksheet

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Sources
- McKinsey, The state of AI in 2026, August 25, 2026
- Deloitte, 2026 enterprise AI report, surveyed August-September 2025
- Gartner, agentic AI forecast, June 25, 2025
- NIST, AI Risk Management Framework
Limits
Independent desk research with an original diagnostic. No Delta Arc enterprise survey was conducted, and the frameworks are proposed tools rather than validated benchmarks. Examples are synthetic. This is business research, not legal, clinical, engineering or investment advice. No affiliation with or endorsement by the cited organizations is implied.