Decomposing Enterprise Workflows for Benchmark Design
Mapping functional processes into measurable agent sub-tasks across Augmentation, Automation, and Innovation.
Enterprise executives are inundated with generic AI benchmarks—MMLU, HumanEval, GSM8K—that measure textbook reasoning but provide zero signal on whether an agent can reconcile an international bills of lading discrepancy or calibrate a water treatment dosing pump.
At Daigo Deploy, our Forward Deployed Engineers decompose mission-critical workflows into three distinct operational tiers: Augmentation, Automation, and Innovation.
1. Augmentation (Assisting Humans): Tasks where human domain experts retain decision authority, but agents synthesize disparate unstructured inputs—such as summarizing complex regulatory filings or cross-referencing geology core drill logs.
2. Automation (Replacing Manual Steps): Deterministic, repeatable operational steps where high-confidence verification gates allow full autonomous execution—such as invoice three-way matching, customs declaration routing, and telemetry anomaly alerting.
3. Innovation (Unlocking New Workflows): Capabilities that were previously mathematically impossible without low-latency inference—such as real-time continuous electrical grid load balancing or sub-second dynamic commodity hedge adjustments.
By measuring task success rates, error recovery velocity, and human intervention frequency across these discrete slices, we establish benchmark standards that reflect genuine enterprise ROI rather than synthetic performance metrics.