AI Development
Product-integrated AI features and agentic workflows delivered with governance and accountability.
Service overview
We integrate AI capabilities into real products, with an emphasis on evaluation, monitoring, and vendor abstraction to support long-term maintainability.
Typical deliverables
- AI features integrated into products
- Agentic workflows
- Evaluation and monitoring
- Model/vendor abstraction
Technical scope examples
- AI feature design with measurable acceptance criteria
- Agentic workflow orchestration and safety constraints
- Monitoring: quality signals, drift, and operational metrics
Risks and mitigation
- Unclear success criteria: define measurable evaluation and acceptance tests.
- Model/vendor lock-in: abstraction layers and clear interfaces.
- Safety/quality regressions: monitoring, review gates, and controlled rollout.
Engagement models
- Discovery and scoping for evaluation-first delivery
- Iteration-based delivery with monitored releases
- Ongoing support for monitoring and model/vendor evolution