Client type
Anonymized client example
Anonymized project
AI Support Workflow Prototype
Support questions were repetitive, source documents were scattered, and the team needed a safer way to evaluate AI assistance before wider rollout.
Industry
AI support and knowledge workflow
Context
Built a scoped AI support prototype with source-aware responses, review notes, and a practical improvement backlog.
Problem
Support questions were repetitive, source documents were scattered, and the team needed a safer way to evaluate AI assistance before wider rollout.
Constraints
- Private support content could not be exposed publicly.
- AI output needed human review before operational use.
- The first release had to stay narrow and testable.
Approach
- Defined allowed topics, escalation rules, and source document boundaries.
- Prepared a small retrieval workflow and evaluation question set.
- Reviewed failure cases and handoff paths before recommending next steps.
Technologies
- LLM API
- RAG workflow
- Document processing
- Evaluation prompts
- Human handoff
Proof artifact
Workflow diagram, evaluation question set, source inventory, and risk notes.
Outcome
Reduced manual workflow steps for repeated support questions during prototype review.
What changed
Reduced manual workflow steps for repeated support questions during prototype review.
Related services
AI development services (/services/ai-development)
Permission status
Client name withheld; AI workflow details summarized without private data.
Claim label
Anonymized project