Set AI adoption/spending policy: pace over cost, fund passion project tokens
Situation
Codified org-wide AI tool policy: pace is priority over cost, high token spend signals productivity. CIQ will fund tokens for passion projects (learning) but not work-hour time for non-core work. Work-hour AI projects must align with core responsibilities.
Reasoning
Reframed Ryan's cost concern as a positive signal - spending on AI tools means productive use. Drew clear line between work projects (full support) and passion projects (tokens funded, not hours). Belief that AI adoption should be driven by enthusiasm and experimentation, not mandates. Right incentive structure makes adoption happen naturally.
Additional Context
Ryan raised high token costs from Cursor/VS Code context bloating. Chris Wolford simultaneously demonstrating AI acceleration (Azure/GCP prototypes in days). Nathan's team discussing 'expeditious' as the right word for velocity. AI adoption accelerating across the org.
Observed Evidence
Fathom meeting summary captured explicit policy statements: pace > cost, fund passion tokens not work-hour time, work projects must be Category 1/2.
Confidence Breakdown
Reasoning Depth Analysis
Related Context
fathom
Peter affirmed that pace is the priority over cost. High token spend is a sign of productivity, not a concern, unless it becomes extreme.
Outcome
No outcome recorded yet.
Decision ID: 19a16507-5e24-4f1e-98da-873bba074400