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Quality and review standards

We design workflows to be useful, reviewable, and safe in day-to-day operations. Outputs are treated as assistive recommendations unless explicitly agreed otherwise.

Review model

• Human approval remains mandatory for customer-facing or financially material actions.
• Low-confidence outputs are routed to manual review.
• Changes are logged to support audit and coaching.

Content and data standards

• No fabricated claims, relationships, or event references.
• Use only approved data sources and agreed access boundaries.
• Preserve client tone and policy constraints in generated drafts.

Measurement standards

Every pilot is tracked against baseline metrics, including speed, quality, and outcome indicators. Expansion decisions are made on measured performance, not volume of generated output. See KPIs for AI pilots that hold up in month three.

Related: How we work. For the agent run loop, validation, and human gates we implement: How agentic workflows run. Category definition: What is agentic AI?