Decision Capture & Learning

Every decision you make is recorded from day one, building the data foundation that will drive continuous workflow improvement.

What It Does

Decision Capture records every action you take across all approval workflows -- which option you selected, any form data submitted, who made the decision, and when. This creates a structured, searchable decision history across every workflow and agent in your organization.

Today, that history gives you full auditability: see exactly who approved what, when, and with what information. Coming in Q2 2026, a pattern analysis layer will analyze accumulated data to surface optimization recommendations -- identifying where AI is reliable enough to remove an approval gate, where prompts need refinement, and where workflows can be streamlined.

The key advantage: Decision data accumulates passively from day one. By the time pattern analysis launches, you already have months of real decisions to analyze.

Key Benefits

• Full audit trail of every approval decision across your organization, available today
• Zero extra work -- decisions are captured automatically as you use the platform
• Future pattern analysis will surface prompt improvements, approval gate removal candidates, and workflow refinements
• You stay in control -- recommendations are suggestions; no workflow changes without your approval
• Businesses that start capturing now will have the richest dataset when pattern analysis goes live

How the Two Layers Fit Together

The Command Queue is the data capture layer: every approval, rejection, or edit taken on a task is recorded as structured decision history. Adaptive Intelligence is the analysis layer being built on top of that history: it will identify statistically significant patterns and generate specific optimization recommendations.

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Last Updated: 2026-05-22