Sustaining AI Transformation

CAIPM · 20 questions

• Several city AI pilots are ending. What ownership action best sustains transformation?
• A city’s AI platforms and stewards still run on one-time innovation grants. What funding shift supports sustainment?
• Leaders ask when the city can claim AI has 'transformed' a service. What success criterion best fits sustainment?
• Critical chatbot operations knowledge lives only with the vendor’s engineers. What sustainment practice should the city require?
• Several departmental AI tools show near-zero use but remain connected to city data. What sustainment action fits?
• Service priorities have shifted since the AI strategy was written two years ago. What sustainment practice is appropriate?
• Residents now rely on an AI assistant for routine service routing. What continuity practice should be in place?
• Clerks regularly report chatbot misses during case work. How should the program use that feedback for continuous improvement?
• Ops staff update prompts and knowledge content for a city assistant frequently. How should those changes be controlled?
• New generative AI capabilities appear monthly. How should the city evaluate them sustainably?
• A vendor pitches a 'better' retrieval stack for the city’s knowledge assistant. What should guide any migration decision?
• An incorrect chatbot answer caused a resident-service incident. After containment, what sustainment step should follow?
• The AI ops team spends all capacity on break/fix tickets. What sustainment practice improves continuous improvement?
• Quality, adoption, and cost metrics for a civic AI service have trended down for two quarters. What should that trigger?
• Future bureau directors will inherit AI-enabled services. What leadership development practice sustains transformation?
• The city wants a culture that sustains responsible AI use. Which cultural goal best supports that?
• Permitting, 311, and utilities each run similar AI assistants in isolation. What sustainment practice shares learning?
• Staff doubt whether approved AI tools are truly expected in daily work. What leadership behavior best sustains adoption culture?
• Staff notice AI outputs that could harm residents but fear blame if they speak up. What cultural condition should leaders build?
• Critical resident services depend on a single AI product owner. What continuity practice sustains the program?