SaaS company · 2026
Conversational AI Support Agent
An LLM-powered support agent that resolves customer questions from product knowledge, with guardrails and human handoff.
- Client
- SaaS company
- Role
- Project Manager
- Timeline
- Feb 2026 – Jun 2026
- Domain
- AI / Customer Support
- Approach
- Agile
- Team size
- 5–9
- Budget
- Up to $250K
Objective
Deliver a conversational AI agent that answers customer questions from product documentation and support content, with safe fallbacks and human handoff.
What I did
- ▸ Defined scope, success metrics, and guardrail requirements with stakeholders
- ▸ Coordinated retrieval pipeline, prompt design, and evaluation with the AI team
- ▸ Planned sprints and tracked delivery in the issue tracker
- ▸ Set up human-in-the-loop handoff and escalation flows
- ▸ Ran evaluation cycles for accuracy, safety, and tone
- ▸ Coordinated integration with the existing support platform
Key deliverables
- ▸ Conversational agent
- ▸ Retrieval + prompt pipeline
- ▸ Guardrails & handoff flow
- ▸ Evaluation dataset & metrics
- ▸ Support-platform integration
- ▸ Live deployment
Outcome
Deployed an assistant that handled common questions and routed complex cases to agents, reducing response times.
Tools & tech
- LLMs
- RAG
- Vector DB
- Node.js
- REST APIs

