Do your semantic routing flows consistently send each request to the right place, with the right priority?
As GenAI systems scale, semantic routing becomes a foundational capability for directing tickets, queries, and workflows — but it can quickly become brittle and error-prone if not designed for scale.
To win, your GenAI solutions need to route requests based on semantic understanding of intent, context, topics, and sentiment at scale.
The Challenge
Without a strong approach to semantic routing, teams struggle to:
- Misinterpret indirect, mixed, or emotionally loaded requests, leading to misrouted tickets and replies.
- Depend on brittle rules and keywords that fail as language, channels, and use cases evolve.
- Miss critical context, topics, and sentiment signals needed for prioritization and escalation.
Semantic routing gaps will drive misroutes, slower responses, and inconsistent experiences that erode user trust.
Our Solution
In this hands-on workshop, your team designs, implements, and validates semantic routing pipelines that combine intent, context, topics, and sentiment using curated notebooks and datasets. Areas of focus include:
- Semantic feature signals — Combine intent, contextual cues, topics, and sentiment into routing decisions.
- Interactive labs & notebooks — Explore semantic routing behavior in curated Jupyter notebooks.
- Integrated sample datasets — Train and test routing flows with realistic tickets, chats, and requests.
- Thresholds, policies & escalation — Tune confidence thresholds, priorities, and sentiment-based escalation paths.
- Capstone & live coaching — Assemble an end-to-end semantic routing flow and refine it with expert feedback.
Areas of Focus
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Skills You'll Gain
- Smarter routing decisions — Design pipelines that route work based on true user intent, context, and sentiment.
- Higher service quality — Reduce misroutes, rework, and handoffs that frustrate users and slow resolution.
- Operational efficiency — Move the right work to the right teams faster with standardized routing patterns.
- GenAI-ready routing foundation — Build semantic routing that underpins copilots, assistants, and advanced workflows.
- Reusable semantic patterns — Reapply semantic routing components across products, channels, and domains.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
8 Hours
Skill Level
- Intermediate Python and basic ML familiarity recommended
- Tools: Jupyter notebooks, embedding models, and semantic routing templates
Tools
- Access to a development environment capable of running GenAI and ML workloads
Explore the Remaining GenAI Routing Certification Workshops
Help your teams build high-quality, extensible GenAI Solutions. Click below to explore the remaining workshops in the GenAI Routing certification series—and build the applied expertise your teams need to master GenAI Routing.
Logical Routing
Agentic Routing
Evaluating Routing Solutions
Routing Controls & Security