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AI & AutomationAarpo Global Solutions·2026

Autonomous AI Agents That Self-Heal and Self-Improve

Autonomous agent crews that find prospects, qualify leads and write content on a schedule — failing over between AI providers on their own, supervised by an agent that watches the rest, and loading lessons from past reviews into every run.

Every 6h
Supervisor checks
Automatic
Provider failover
None
Sent without approval

The Challenge

Autonomous agents break quietly. A model provider runs out of quota, a nightly job misses its window, a run hangs — and nobody notices until the pipeline has been empty for a week. And an agent that repeats the same mistake every run is not autonomous, it is just unattended.

Our Approach

We treated reliability and learning as part of the agent system itself, not as a dashboard someone has to remember to check. Every crew routes its model calls through a health-checked chain of providers, a dedicated supervisor agent owns the question "did everything run?", and human review is captured as the signal the crews learn from.

What We Built

Scheduled crews built on CrewAI each own one job: an outbound scout that finds and scores prospects every morning, a lead-intelligence crew that researches, qualifies and drafts a proposal for every inbound lead, and content and video crews. n8n orchestrates them — a new lead fires a webhook, waits for the WhatsApp conversation to finish, starts a crew run, polls it to completion and writes the result into the CRM. Self-healing: before a run, each crew probes its AI providers and fails over to the next healthy one. A supervisor — the Log Checker agent — runs every six hours, checks the WhatsApp bot, n8n, and every crew for runs that hung, failed or never started, and escalates anything it finds to WhatsApp with a report on the ops dashboard. Self-improving: every run is logged, every draft goes through human approval, and the crew loads its standing lessons and a do-not-repeat list before it starts — so a correction made once carries into the next run.

See It Running

Recorded from the live product — not a prototype.

Mission Control — the autonomous crews and their run history, then the Growth Engine crew's agent map with its lessons memory
The n8n lead-intelligence pipeline — new lead in, crew run started and polled, CRM record written
The n8n lead-intelligence pipeline — new lead in, crew run started and polled, CRM record written

What's Inside

  • Scheduled crews for prospecting, lead intelligence, content and video
  • Automatic failover across AI model providers
  • A supervisor agent that checks every crew and service every 6 hours
  • Stuck, failed and missed runs escalated to WhatsApp
  • Standing lessons and a do-not-repeat list loaded into every run
  • n8n pipeline from new lead to CRM record, with no manual step
  • Nothing is sent without human approval

The Outcome

Every 6h
Supervisor checks
Automatic
Provider failover
None
Sent without approval

Built With

CrewAIPythonn8nSupabaseRailwayOracle CloudReact

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