Case study · 03 · 2025 — Now
AI Adoption & Enablement
Reusable APIs, web components, documentation, and engineering practices that let product teams add AI without rebuilding the platform.
Head of ALTO Studio R&D
REST APIsWeb ComponentsTypeScriptDeveloper Experience
Impact
- Shared integration patterns
- Cross-team platform adoption
- Visible, controllable AI costs
Context
- Product teams wanted AI features but each integration started from scratch, duplicating effort and cost.
- Without shared patterns, governance and observability could not be enforced consistently.
Approach
- Published reusable REST APIs for knowledge bases, reporting, and platform capabilities.
- Shipped embeddable web components so teams add chat and assistants without rebuilding UX.
- Wrote integration docs and patterns covering contracts, versioning, and breaking changes.
- Made AI spend visible per team so adoption stays fundable.
Lessons
- Adoption is a product problem: examples, SDKs, and support beat mandates.
- Stable contracts matter more than feature count for internal platforms.
- Cost transparency builds trust with product teams.