Yesp StudioAI Yesp Labs
A lightweight foundation for context-aware enterprise assistance.
Teams struggle to find the right internal knowledge fast enough.
Context, scope, and success criteria
The initiative explores faster knowledge access and workflow guidance.
- Improve knowledge access.
- Support workflow execution.
- Reduce discovery time.
Why the work started
Teams struggle to find the right internal knowledge fast enough.
What we built
AI Yesp Labs explored a Workflow Intelligence SLM for retrieval and workflow support.
Legacy versus modern flow
Knowledge scattered across documents and repositories.
A Workflow Intelligence SLM with retrieval and a structured knowledge layer.
How the work was executed
Outlined the research areas.
Defined the SLM and retrieval stack.
Reviewed semantic search patterns.
Controls and delivery rhythm
Focused on practical adoption, domain specificity, and deployment flexibility.
Creates a base for future workflow and knowledge products.
Results and next steps
A lightweight foundation for context-aware enterprise assistance.
Next: refine retrieval quality and workflow reasoning.
Have similar architecture bottlenecks?
We can map the same modernization pattern to your infrastructure, release process, and operating model.