Autonomous AI Agent Execution: Scheduling, Governance & Safety

From Manual to Autonomous

Most teams start with agents that run on-demand — a developer triggers a task, the agent executes, a human reviews the output. But the real value of AI agents emerges when they run autonomously: scanning for vulnerabilities every night, reviewing new PRs as they open, optimizing cloud costs every morning.

The challenge is trust. Running an agent on-demand with a human watching is safe. Running it at 3 AM with nobody watching requires a different level of governance.

Scheduling Options

• Recurring (cron) — run on a schedule: daily, weekly, hourly, custom cron expression
• One-time — scheduled for a specific date and time, auto-disables after execution
• Event-triggered — run when a webhook fires (PR opened, CI completed, alert received)
• Manual with auto-assign — task created, best agent selected and assigned automatically

Governance Pre-Flight

Before every autonomous execution — whether scheduled or event-triggered — a pre-flight check runs. This is the safety net that prevents autonomous agents from causing damage.

• Kill-switch check — is the kill-switch active? If yes, skip execution.
• Budget check — has the agent exceeded its daily/monthly token budget? If yes, skip.
• Policy check — does the agent have permission to run this type of task autonomously?
• Health check — is the agent healthy (last health check passed)?
• Dependency check — are all dependent services available?

Configuring Autonomous Execution

// Autonomous execution config per tenant
{
  "enabled": true,
  "max_concurrent_runs": 3,
  "max_daily_runs": 50,
  "require_approval_for_new_schedules": true,
  "allowed_agents": ["dobby-qa-agent", "dobby-security-worker-agent"],
  "safety_limits": {
    "max_tokens_per_run": 10000,
    "max_cost_per_run_usd": 2.00,
    "max_execution_time_minutes": 30,
    "kill_on_error_threshold": 3
  }
}

Monitoring Scheduled Runs

The Schedules dashboard shows all active schedules with their next run time, last result, and execution history. Each run produces a detailed trace: which pre-flight checks passed, what the agent did, how many tokens it consumed, and whether it succeeded or failed.

Stuck Task Detection

Autonomous agents can get stuck — waiting for an API that never responds, entering a retry loop, or hitting an unhandled edge case. A stuck detection cron runs every 5 minutes and flags tasks that have been in-progress beyond their expected duration.