AI & Automation

RAG done right

Chunking, embeddings, retrieval strategy, evaluations, and monitoring—so outputs stay grounded.

Automation pipelines

Orchestrate steps across your systems with clean fallbacks, idempotency, and audit trails.

Safety and controls

Red-team thinking, scoped tool access, and human-in-the-loop where it matters.

Typical deliverables

• LLM features integrated into your product
• Retrieval pipelines + evaluation harnesses
• Prompt/tooling standards and safety controls
• Telemetry and regression checks for quality
• Clear cost/performance tradeoffs

What “good” looks like

• Responses are measurable against representative test cases.
• You can explain why the system answered what it answered.
• Automation is resilient to partial failures and retries.