Dreamware / Services / AI & Intelligent Systems / LLM Integration & AI Agents
LLM Integration & AI Agents
Custom AI agents, RAG systems over business documents, intelligent workflow automation, LLM-powered features.
About this service
Large language models have moved well beyond chatbots. They're now the backbone of intelligent document processing, automated reasoning pipelines, and workflow systems that can handle tasks your team would rather not do manually. Dreamware builds production-grade LLM integrations — not demos, not proof-of-concepts that sit in a drawer.
We specialise in Retrieval-Augmented Generation (RAG) systems that let your LLM reason over your actual business knowledge — internal documentation, contracts, product catalogues, support history. We also build autonomous agents that can plan, use tools, and execute multi-step tasks with appropriate human oversight built in.
Whether you need an internal knowledge assistant, a customer-facing AI feature, or a complex orchestration pipeline, we engineer it to be reliable, observable, and maintainable by your team long after we're done.
How Dreamware approaches this
We begin by understanding what problem you're actually trying to solve — not what AI feature you think you want. That distinction matters. From there, we select the right model and architecture (not always the most expensive option), design the retrieval or agentic pipeline, and build with observability from day one.
Every LLM system we build includes evaluation — systematic testing of outputs against defined quality criteria. We instrument for latency, cost, and quality metrics so you can monitor the system in production and catch degradation early. We work with OpenAI, Anthropic, open-source models, and whatever fits your requirements and data sovereignty needs.
What you get
- Production LLM application or agent — deployed and monitored
- RAG pipeline with your document corpus ingested and retrieval tuned
- Evaluation framework — test suite and quality benchmarks for ongoing monitoring
- Observability dashboard — latency, cost, and quality metrics
- Runbook — operational documentation for your team
- Knowledge transfer — working sessions so your team understands what was built
Investment guide
LLM integration projects typically run $15,000–$60,000 NZD depending on complexity, corpus size, and the number of agentic capabilities required. Simpler RAG systems over a defined document set can be delivered at the lower end. Complex multi-agent orchestration systems sit at the higher end. Ongoing monitoring and maintenance retainers available from $2,000/month.
All pricing in NZD excluding GST. Fixed-price engagements where scope allows — we'll confirm pricing after a free scoping conversation.
Ready to get started?
Book a free conversation. We'll tell you honestly what's realistic, what it costs, and how we'd approach it.