Step 8 of 30 · Research & analysis
AI and tech strategy analysis
What it is
A decision framework for how technology and AI power the offer, improve operations, change distribution, or threaten the venture.
Why it matters
Every business will use AI, be discovered through AI, or face AI-enabled competition. The economics and risks must be understood early.
What Flir develops
AI opportunity map, build-versus-buy plan, data moat, architecture outline, and per-customer cost estimate
Target objective
Use technology where it creates measurable advantage without building expensive infrastructure that does not differentiate the venture.
Bloom rents image-recognition capability but owns the care-outcome data that improves advice for real homes over time.
Three places AI fits
- • Product: capabilities customers use directly.
- • Operations: support, analysis, administration, and content.
- • Distribution: discovery through search, assistants, and recommendation systems.
Build versus buy
- • Rent commodity capability to launch quickly.
- • Build only what makes the venture meaningfully different.
- • Own permissioned data and learning loops that competitors cannot copy.
Economics and trust
- • Calculate AI cost per active customer.
- • Define human review for consequential output.
- • Set privacy, accuracy, and fallback expectations before launch.
Monitoring brief
Signals Flir should keep checking as this part of the plan evolves.
- Model capability and usage-cost changes
- Privacy, copyright, and AI regulation
- Free tools that could replace part of the offer