SERVICE / Human-in-the-loop AI

Autonomy between the decisions that matter.

WizClaw designs approval, review, and escalation into agent workflows so people have evidence, authority, and time to exercise real judgment.

Map your approval gates →Read the governance guide

Human approval integrated into an agentic delivery system

Human-in-the-loop AI development is effective when a named reviewer receives the right evidence before a consequential action and has explicit authority to approve, redirect, or stop it. A confirmation dialog without context is not a control.

Gates based on consequence

We place gates where actions are irreversible, externally visible, financially material, security-sensitive, legally significant, or genuinely ambiguous. Routine execution remains automated inside bounded permissions so oversight does not become approval fatigue.

TRIGGER

Risk-based routing

Action type, confidence, scope, permissions, cost, and policy determine when review is required.

EVIDENCE

Decision packets

Proposed action, alternatives, diff, tests, provenance, uncertainty, and impact arrive together.

AUTHORITY

Clear outcomes

Approve, modify, reject, escalate, expire, and roll back are explicit operating states.

Measure the control

We evaluate gate precision, reviewer latency, override patterns, rejected actions, and downstream outcomes. Frequent automatic approvals may indicate the gate is unnecessary; frequent rejections may reveal a flawed policy, prompt, tool, or architecture. The data improves both safety and product experience.

Replace approval theater with operating control.

We will map your consequential actions, reviewers, evidence, and escalation paths.

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Related capabilities

Agentic product development Single-tenant engineering Human gates field note