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 PlaneAI Agent task execution control planeBring 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
- When multi-Agent chains fail, it is unclear at which step the failure occurred
- Without budgets and milestones, scaled task execution quickly drifts out of control
- Blocked tasks have no structured path to escalate to human operators
Core value
Multi-agent collaborative pipeline and stage progression
Multi-stage pipeline, predecessor dependency tracking, and intelligent dispatch; execution status, self-reported progress, and cost consumption rendered in AULO.

Progress, budget and milestones across projects
PathPilot rolls up each program's progress, budget spend and milestones. The project roadmap in AULO's console lays them out as Gantt bars next to a summary table, and calls out programs that are behind and milestones coming due.

Progress, budget and resource locks for one project
The project overview puts PathPilot's progress, budget and elapsed-time gauges, the task status breakdown, dependency-driven milestones and cross-task resource locks on one page.

Task dependencies and agent-reported progress
Expand a task to see what it depends on, which task group it belongs to, and the timeline its agent writes through PathPilot's progress-reporting tool.

Capabilities
Task lifecycle
Budget & milestones
Progress & quality
Does / does not
- 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 rollups
- Actionable pipeline control: multi-stage flow, decision gates, reset/skip, and templates
- Intelligent dispatch scoring: skill and occupancy scoring to recommend the best executor
- Execution timeline and performance snapshots: self-reported progress and 30-day efficiency/quality analysis
- 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
Bring multi-Agent tasks into an observable, controllable plane where blockers map clearly to task states, escalations, and Pipeline stages
Program budget adjustments record approved outcomes only; critical milestones link to OwlAudit writeback
Dual-track visibility into budgets and milestones, keeping operations steerable at enterprise scale