What "AI agents & automation" means at Vaniworks#
Vaniworks is an AI agent development company and automation partner for teams that want LLM integration, RAG systems, and workflow automation built correctly rather than bolted on. The gap between "we added an LLM to our product" and "this actually saves time" is almost always in the plumbing: how the model is grounded in real data, what it's allowed to do autonomously versus what needs a human in the loop, and whether failure is handled gracefully or silently produces a confidently wrong answer.
We build:
- LLM integration — wiring a model into an existing product or internal tool correctly, including the prompt design, guardrails, and fallback behavior that make it production-safe.
- RAG systems — retrieval pipelines that ground responses in your actual documents, tickets, or data, so answers are specific to your business instead of generic.
- Multi-agent flows — for workflows with real branching logic, where a single prompt-response loop isn't enough (e.g. an agent that researches, then drafts, then checks its own draft against a rubric before it's shown to a human).
- Workflow automation (n8n/Make) — connecting the tools you already use so routine work (data entry, reporting, notifications, triage) happens without someone doing it by hand.
- AI chatbots — support and internal tools scoped to what they can reliably answer, with a clear, honest handoff to a human for everything else.
Our approach#
We scope to the narrowest version of the workflow that's actually valuable, ship it, and measure it against the manual process it replaces — time saved, error rate, and how often it needs to hand off to a human. Only then do we expand scope. This avoids the common failure mode of building a broad "AI agent" that technically works but that nobody trusts enough to actually rely on.
What you get#
A working automation or agent with visibility into what it's doing and why — logs, confidence signals, and a clear boundary between what it decides autonomously and what it escalates — plus the documentation your team needs to maintain or extend it without depending on us indefinitely.