Example Engagements
Automation That Creates Business Value
Illustrative examples of the automation we build — the shape of the problems we solve and the outcomes we target. As a new founder-led firm these are representative, not client results; we will publish real client stories as engagements complete.
Customer support team
Illustrative example- Problem
- The support team handled repeated questions and manual ticket routing.
- Solution
- Built an AI support assistant and ticket triage automation that drafts responses and routes tickets.
- Outcome
- Target: cut first-response time by up to 70%.
- OpenAI
- Next.js
- PostgreSQL
Operations team
Illustrative example- Problem
- The operations team manually processed large volumes of documents and copied data between systems.
- Solution
- Built an AI-assisted document processing workflow with validation, review, and database integration.
- Outcome
- Target: cut document processing time by up to 90%.
- Azure OpenAI
- .NET
- SQL Server
Engineering team
Illustrative example- Problem
- The engineering team spent too much time writing release notes, reviewing repetitive pull requests, and answering internal documentation questions.
- Solution
- Built AI-powered developer productivity workflows for PR summaries, release notes, documentation search, and onboarding support.
- Outcome
- Target: reclaim hundreds of engineering hours a year.
- GitHub
- Anthropic
- Python
Enterprise organization
Illustrative example- Problem
- Internal knowledge was spread across documents, systems, and team members, making answers hard to find.
- Solution
- Built a secure RAG-based AI assistant over company documentation with source grounding and data access controls.
- Outcome
- Target: faster internal knowledge access, fewer repeat questions.
- Azure AI Search
- LangGraph
- Redis
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