Operating AI systems after launch

1. Operating AI systems after launch

Welcome back! Launch day isn't the finish line. Once employees rely on an AI system—whether it's an agent, a workflow automation, or an integrated tool—its guidance becomes part of how work gets done. That's when operational responsibility begins.

2. What to watch for

Problems rarely announce themselves. Instead, watch for patterns: the same questions recurring, employees double-checking answers, or slight inconsistencies in responses. Keep a simple log—question, response, what felt off. These signals tell you when systems are drifting from reality. Drift happens when an agent's responses gradually become outdated or inconsistent - not because something broke, but because policies changed while instructions stayed the same.

3. Regular checks

Set a 30-minute monthly review. Check five things: Policy alignment: Did anything update? Test with current questions. Language drift: Do responses match your latest handbook? Edge cases: Review your log for recurring weak spots. Scope creep: Is the system handling requests it wasn't designed for? Instruction accuracy: Do configuration rules still reflect current operations? This isn't a project. It's maintenance.

4. When policies change, update instructions first

New policy announced? Update your AI systems first - before employees start asking about it. Test with realistic questions, especially edge cases. If the system can't handle them accurately, narrow its scope temporarily or route those questions to humans until you can update properly.

5. Teamwork

Find one other person who can quarterly spot-check your systems. Give them five realistic scenarios. Ask them to flag confusion, surprises, or moments they'd prefer a human. Two perspectives catch more blind spots than one.

6. When something goes wrong

Fix the configuration immediately. Document what happened and what changed. Then communicate clearly with affected employees: "We noticed [system] provided outdated guidance about [topic]. Here's the current policy." Transparency repairs trust. Silence erodes it.

7. Building your support network

You need three ongoing connections: someone in HR who sees confusion early, someone technical who can adjust configurations, and someone in compliance who flags regulatory changes. Not formal committees - just people you can reach quickly when patterns emerge to perform sense checks and action necessary changes.

8. Monitoring

Track four simple signals. Monitor: question volume (spikes signal confusion), escalation rate (rising might mean scope is wrong), repeat questions (answers aren't landing), and user feedback. You're watching for pattern changes, not perfection.

9. Monitoring

Here's a simple monitoring framework: Week 1: Test your top 20 expected questions. Week 2: Pilot with 10-15 people. Collect feedback. Week 3: Update based on what you learned. Week 4: Set monthly review reminders and create your tracking sheet. Sustainable operation means catching problems early and fixing them quickly - before they compound.

10. Let's practice!

Let's wrap up with some final exercises.

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