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PathPilot

PathPilot is the task execution control plane for AI Agents—closing the loop from dispatch and tracking to escalation, overlaid with budgets and milestones, and aggregated across nested Programs and Groups to keep collaboration observable and actionable.

PathPilot (Agent Task Control Plane) architecture diagram for enterprise digital workforce infrastructure
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PathPilot

Agent Task Control PlaneAI Agent task execution control plane

Bring Agent task dispatch, tracking, and escalations into a controllable plane with budget and milestone governance.

Closed Loop
Dispatch → Tracking → Escalation
Dual Track
Budget + Milestone Governance
Multi-Level
Program / Group / Task Rollup

Typical pains

  1. When multi-Agent chains fail, it is unclear at which step the failure occurred
  2. Without budgets and milestones, scaled task execution quickly drifts out of control
  3. Blocked tasks have no structured path to escalate to human operators

Core value

Coordinate multi-agent handoffs across stages

Complex workflows require agents to collaborate across stages, risking misalignment without structured pipelines. PathPilot tracks predecessor dependencies, recommends and dispatches tasks, and renders execution status, self-reported progress, and costs in AULO.

Projects & Tasks: Multi-agent collaborative pipeline and execution control

Track schedules and budgets across programs

Managing multiple programs makes it difficult to track delivery pace and budget spend in one view. PathPilot rolls up task progress and budget spend for each program, flags programs that are behind in the Gantt bars and summary table, and counts upcoming milestones.

Console project roadmap: task progress, behind-schedule flags, total budget and upcoming milestones by project

Monitor progress and resource locks per project

With multiple tasks running in parallel, progress, budget spend, and resource locks are scattered. The project overview consolidates progress, budget, elapsed-time gauges, task status breakdown, milestones, and cross-task resource locks (which tasks currently hold them) on one page.

Project overview: progress, budget, task breakdown, milestones and resource locks

Trace task dependencies and agent execution details

When an individual task stalls, teams struggle to tell whether upstream inputs are missing or internal execution is blocked. Expanding a task reveals predecessor dependencies, task groups, and timeline entries logged by the agent's progress-reporting tool.

Task detail: dependencies, task group and agent-reported progress timeline

Capabilities

Task lifecycle

Dispatch → Tracking → EscalationCloses the loop from creation to completion, including blocked, waiting, cancelled, and escalated tasks; escalations carry options, a recommendation, and the trigger chain, and record the choice
Actionable PipelinesSupports multiple phases, decision nodes, reset or skip, and templates; PathPilot only records state while external runners advance it, and only admins can create, edit or delete custom templates
Intelligent Dispatch RecommendationScores and recommends executors within the task's Group; does not cross groups by default, and auto-dispatches only when tasks explicitly enable auto-dispatch
Resource LocksLocks shared resources across tasks to prevent concurrent collisions
Standalone Control PlaneTask control REST APIs support standalone deployment; Kanban and dispatch require AULO or NodalOS, while monitoring and audit remain optional

Does / does not

Does
  • Task lifecycle closed loop: dispatch, tracking, blockage handling, and human escalation
  • Multi-tier budget governance: Program / Group / Task budget states and over-budget handling
  • Milestone tracking: dependency-based status and cross-level summary listings
  • Actionable pipeline control: multi-stage flow, decision gates, reset/skip, and templates
  • Intelligent dispatch scoring: skill and occupancy scoring to recommend executors within the assigned Group
  • Execution timeline and performance snapshots: self-reported progress and 30-day efficiency/quality analysis
Does not
  • Does not act as the raw task worker (PathPilot controls stages and intervention; Agents execute the work)
  • Does not orchestrate legal/compliance approval workflows (high-risk blocking and compliance review belong to OwlAudit)
  • Does not store raw business documents or knowledge texts (stores control-plane state and metadata indices only)

By role

Technology leaders

Bring multi-Agent tasks into an observable, controllable plane where blockers map clearly to task states, escalations, and Pipeline stages

Compliance & risk

Program budget adjustments record approved outcomes only; critical milestones link to OwlAudit writeback

Business leaders

Dual-track visibility into budgets and milestones, keeping operations steerable at enterprise scale

Integrations

AULO Kanban; Program adjustments manually record approved outcomesHeronSentry cost writeback and runtime healthOwlAudit writes back escalations / budget overrides and can freeze tasks for complianceNodalOS Coordinator dispatch, lifecycle, and Worker MCPPrismCouncil creates Programs upon decision package approval (includes plan document; does not pre-create task groups or tasks)

Related products

AULOOne workspace for human–Agent work: inbox, conversations, council, and governance actionsOwlAuditAI Agent compliance audit and human-in-the-loop (HITL) governanceHeronSentryStandalone AI Agent observability plane: tracing, costs, alerts, and performance analysisNodalOSHeterogeneous multi-Agent hosting platform and governance substrate (OS layer)

Next steps

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