
all case studiesDeveloper Tooling · 2022 · Global
Adobe
70% less manual processing.
AI workflow automation embedded in an internal developer pipeline.
70%
less manual processing
12k+
tasks automated / month
NDA
scope protected
1
engineer required to run
the problem
A high-volume manual triage queue was consuming engineering hours and slowing release cycles.
how we approached it
- Classification + extraction pipeline with deterministic post-checks.
- Human-in-the-loop UI for low-confidence cases.
- Cost and quality telemetry exported to the existing observability stack.
the outcome
70% of the queue handled automatically with audit trail. One engineer now owns what used to take a pod.

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