ai-company-ops

What problem does it solve?

It solves the operational bottleneck of repetitive business workflows by coordinating an AI agent team that can handle onboarding, inbox triage, lead processing, reporting, and ongoing monitoring with human-in-the-loop oversight.

Core Features & Use Cases

• Autonomous Agent Team Architecture: Orchestrates ingestion, processing, execution agents, and a memory layer to maintain continuity across tasks.
• Client Onboarding Automation: Builds a consistent onboarding flow from signed contracts through welcome outreach, discovery intake, setup provisioning, and checklist completion.
• Inbox Management & Lead Pipeline Automation: Classifies and routes inbound emails and automates lead enrichment, scoring, verification, routing (hot/warm/cold), and follow-up strategies.
• Heartbeat Systems for Daily Operations: Runs scheduled monitoring and operational pulses (frequent/hourly/bi-daily/daily) to surface what needs human attention.

Use Case Example: A marketing agency signs a new client and needs immediate workspace provisioning, a personalized welcome sequence, inbox triage for inbound interest, and a daily briefing summarizing leads, inbox status, calendar conflicts, and agent activity.

Quick Start

Use the ai-company-ops skill to design an AI operations heartbeat and automated client onboarding workflow for a new agency client with inbox triage and lead routing.