AI Agents & Automation
We build the LLM-facing half of AI: copilots, support agents, internal search, and retrieval-augmented systems grounded in your actual data — plus the back-office automation that removes manual, repetitive work.
Agents that do real work, not just chat
A chatbot that answers questions is the easy part. The harder, more valuable work is agents and automation that take real actions inside your systems — updating a record, routing a ticket, triggering a workflow — safely and observably.
Whether it’s a support copilot, an internal search tool, or automating a manual back-office process end to end, we scope for the outcome you actually need and build in the guardrails that keep an autonomous system from becoming a liability.
Frequently asked
- How do you keep AI agents from hallucinating or going off-brand?
- Every agent we ship goes through an evaluation harness before launch — a set of real test cases with expected outcomes — plus guardrails and grounding in your actual data via retrieval. We treat prompts as versioned code, not a config you edit in production.
- Can an agent take real actions, or just answer questions?
- Both, depending on scope. We're deliberate about which actions an agent can take autonomously versus which need a human in the loop — that boundary is a design decision, not an afterthought.
AI Agents & Automation
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