What percentage of customer support can AI handle today?

In structured environments (SaaS, e-commerce, info products), AI agents handle 60-80% of tickets without human intervention. This covers: FAQs, password resets, order tracking, basic troubleshooting, onboarding steps. Complex complaints and escalations still need humans.

Can AI run the full sales process?

AI can run: outbound prospecting, lead scoring, personalized email sequences, follow-up cadences, and CRM updates. What it can't yet replace: discovery calls, complex objection handling, and relationship-based enterprise sales. A blended model is the current best practice.

How do you run operations on AI agents?

Operations tasks that agents handle well: scheduling, data aggregation, reporting, invoicing, task assignment, reminder systems, and process documentation. The Autonomous Mission Protocol (AMP) is a framework for assigning missions to agents with clear success criteria and built-in checkpoints.

What's the risk of going too agent-heavy too fast?

The main risks: agents confidently producing wrong outputs, customer frustration with generic AI responses, and process failures with no human catching them. Mitigation: start with low-stakes functions, build in review queues, and always have a human escalation path.

What does a real Agent-First operations stack look like?

Enzo Duit runs the Trillion Initiative with: Claude for research and writing, n8n for workflow automation, an AI support agent for incoming queries, and a custom OpenClaw agent (Eddie) for strategic operations. Details and stack documented at operatingonai.com.