AI & Automation

Production-ready LLM integration with clear governance, versioning, and prompt engineering that keeps outputs reliable across teams and use cases.

Retrieval-augmented generation pipelines with vector search, instrumentation hooks, and evaluation so you can prove value — not guess it.

Agent architectures with auth, rate limits, observability, staging environments, and regression suites that protect public surfaces as you iterate.

Workflow automation with least-privilege models, audit-friendly patterns, and flows reviewed for invite, recovery, and escalation edge cases.

Embedding and semantic search built with change logs, runbooks, and performance criteria your stakeholders can actually use.

Responsible AI practices with output guardrails, evaluation datasets, and scope tied to milestones — no silent scope creep.