Week 6: Sustainable Operations

Making AI work long-term

Today’s topics

Why initial success fails long-term
Building maintainable systems
Monitoring without manual checking
Managing vendor relationships

The sustainability challenge

Predictable problems over time:

People who set up systems leave
Processes evolve, systems do not
Tool updates break integrations
Performance degrades unnoticed

What it does

Document for every system:

Business purpose and value
Processes automated
Expected inputs and outputs
Success metrics

How it works

Technical configuration
Integration points
Data flows
Decision logic

How to maintain

Regular maintenance tasks
Troubleshooting procedures
Support contacts
Known issues

Avoid single points

Build redundancy:

Train two people minimum
Keep documentation accessible
Run knowledge-sharing sessions
Plan for people leaving

Design for change

Avoid monolithic configurations
Use modular components
Design for evolution
Keep integration points clean

Monitor what matters

Accuracy: Correct results consistently
Volume: Work being processed
Speed: Task completion time
Usage: Active tool usage

Build alerting

Automated failure alerts
Threshold degradation alerts
Availability monitoring
Integration health checks

Daily tasks

Review error logs
Check automated alerts
Verify critical processes ran

Weekly tasks

Review performance trends
Address exception queues
Check usage patterns

Monthly tasks

Full system health review
User feedback analysis
Identify improvements

Quarterly tasks

Strategic review
Major upgrades
Vendor assessment
Capability planning

Continuous improvement

Collect feedback:

Regular user surveys
Customer feedback
Analysis of failures

Improve based on data

Identify issues
Prioritize by impact
Design solutions
Test thoroughly

Innovation pipeline

Plan for new capabilities:

New vendor features
Industry best practices
Adjacent processes
Advanced applications

Quarterly vendor reviews

Usage and value analysis
Support quality assessment
Feature requests

Annual strategic reviews

Contract terms review
Strategic alignment
Alternative evaluation

Understand vendor risk

Concentration: Dependency level
Data portability: Export capability
Pricing: Alternative costs

Clear ownership

Business owner: Outcomes
Technical owner: Operations
User representatives: Daily voice

Establish policies

Document for:

AI in customer communications
Data handling requirements
When review is required
Compliance requirements

Technology planning

New vendor capabilities
Emerging technologies
When systems need replacement

Skill development

Capabilities needed in 1-2 years
Training investments
Build versus buy expertise

Scenario planning

Consider responses to:

Major vendor changes
New AI capabilities
Regulatory changes
Competitive pressure

Common mistakes

No clear ownership
Deferred maintenance
Documentation debt
Ignoring evolution

Building sustainability

Audit current state
Assign ownership
Establish baselines
Create documentation
Set up monitoring

What you learned

Over six weeks:

Audit operations for opportunities
Select integrated tools
Improve customer operations
Automate back-office functions

Key takeaway

Sustainability separates lasting value from abandoned experiments.

Invest in documentation, monitoring, maintenance from start.

Build capabilities that compound value over years.