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AI Agents & LLM Integration

RAG systems, AI agents, and LLM features shipped to production, with costs and evaluation built in.

Overview

How we approach ai agents & llm integration

Most AI projects don't fail on the model. They fail on data readiness, missing evaluation, and nobody owning the workflow the AI is supposed to live in. We build RAG systems, AI agents, and LLM features that actually reach production, with the unglamorous parts done: clean retrieval pipelines, evaluation harnesses, guardrails, and human-in-the-loop checkpoints where the stakes demand them.

We're equally comfortable adding AI to software you already run as building new, and we watch the inference bill as closely as the accuracy numbers. An AI feature that works but costs several times its value doesn't survive the next budget review, so cost design is part of the architecture, not an afterthought.

What's included

In every engagement

Scope flexes to the problem, but these are the things you can count on us bringing.

  • RAG and retrieval pipeline design and build
  • Agent workflows with guardrails and audit trails
  • LLM cost optimization: caching, routing, right-sizing
  • AI readiness assessment and 90-day pilots with kill/scale gates

See it on your own data.

Book a 30-minute demo. We'll walk through Shield Suite with your use case in mind.