SERVICE / ERYNDEX
Applied AI Integration
Integrate AI capabilities into a product workflow with measurable scope and human-review paths.
What we deliver
- Model and provider evaluation
- Text classification and extraction workflows
- LLM API integration
- Evaluation datasets and quality checks
- Fallback and human-review design
Typical workflow
Use-case definition → baseline → prototype → evaluation → controlled integration.
Engineering considerations
We consider data sensitivity, model limitations, evaluation quality, latency, cost and fallback behavior.
Scope & assumptions
Final scope, timeline, technology choices, acceptance criteria and service levels are agreed in writing after technical discovery. No production capability or service level is implied by this overview.