Pricing
Solution

Keep Humans in Control of AI Decisions

Approval queues, escalation workflows, and oversight dashboards. Ensure high-risk autonomous decisions always have the right human in the loop.

Three Oversight Patterns

Human-in-the-Loop (review every flagged decision), Human-at-the-Loop (monitor and intervene), and Human-over-the-Loop (set policies, review outcomes).

Full Decision Context

Review queues surface the complete execution trace — inputs, reasoning steps, tool calls, and outputs — so reviewers can make informed decisions fast.

SLA Tracking

Monitor review times, approval rates, and escalation patterns. Ensure human oversight does not become a bottleneck in agent operations.


Review Queue

A Purpose-Built Review Experience

When agents flag a decision for human review, TuringPulse surfaces the full execution context in a purpose-built review interface.

  • Full trace context: inputs, reasoning, tool calls, LLM responses, and outputs
  • One-click approve, reject, or modify actions
  • Reviewer assignment and routing based on expertise and team
  • Review history and decision audit trail for governance
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TuringPulse Review Queue
Policies

Define When Humans Must Be Involved

Configure HITL triggers based on value thresholds, risk scores, quality scores, or custom conditions. Policies determine which decisions need human approval.

  • Value-based triggers: route decisions above a dollar threshold for approval
  • Risk-based triggers: escalate when policy violation scores exceed limits
  • Quality-based triggers: flag low-confidence or ambiguous agent responses
  • Custom conditions: combine any span attribute or metadata for trigger logic
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TuringPulse HITL Policies
Patterns

From Full Review to Strategic Oversight

TuringPulse supports a spectrum of human oversight patterns — from reviewing every flagged decision to setting policies and reviewing aggregate outcomes.

  • HITL: Human reviews and approves/rejects every flagged agent decision
  • HATL: Human monitors agent operations and intervenes when anomalies are detected
  • HOTL: Human defines policies and reviews aggregate outcomes and compliance reports
  • Mix patterns per workflow: critical paths get HITL, routine paths get HOTL
Explore oversight patterns
TuringPulse HITL, HATL, and HOTL oversight patterns

Frequently Asked Questions