Case Studies
Execution examples focused on measurable AI outcomes
Initial case studies are anonymized while the public portfolio is still growing.
AI Support Assistant Rollout for Customer Ops Team
Client Type: Anonymized mid-market service company
Challenge: Support agents were overloaded with repetitive questions and response delays.
Approach: Implemented an LLM assistant with retrieval grounding, escalation rules, and analytics instrumentation.
- Reduced first-response time significantly across common support categories
- Lowered repetitive ticket volume through AI self-service
- Improved consistency of answers for high-frequency questions
LLM Workflow Automation for Internal Operations
Client Type: Anonymized multi-team operations org
Challenge: Manual cross-system updates and summaries were consuming critical team capacity.
Approach: Integrated LLM-powered automation with existing APIs and event triggers for summarization and routing.
- Cut manual processing time for recurring workflows
- Improved handoff speed between teams
- Created reusable automation patterns for future workflows
RAG Knowledge Assistant Pilot
Client Type: Anonymized growth-stage company
Challenge: Knowledge was fragmented across docs and hard to search quickly.
Approach: Built a retrieval-augmented assistant connected to internal docs with source traceability.
- Faster information retrieval for support and product teams
- Higher confidence in AI responses through cited source snippets
- Pilot proved value and informed broader AI roadmap