Applied AI that does real work
AI Systems & Agents
The useful version of AI in a business is rarely a chatbot on the homepage. It is a system that reads incoming documents and files them correctly, drafts replies that a human approves, answers staff questions from your actual policies, or runs a nightly reconciliation and flags what looks wrong. We build those systems, measure whether they work, and integrate them where the work already happens.
What this covers
LLM application development
Prompt design, tool use, structured outputs and streaming interfaces.
Retrieval (RAG) pipelines
Chunking, embeddings, vector search and citation-grounded answers.
Agent workflows
Multi-step tasks with tools, memory, approvals and audit trails.
Evaluation and monitoring
Test sets, regression tracking, cost and latency dashboards.
Model and vendor selection
Anthropic, OpenAI, Google and open-weight models chosen per task, not by habit.
What we build
- Retrieval-augmented assistants that answer from your documents, contracts, manuals or ticket history with citations
- Agents that take bounded actions (creating records, drafting communications, triaging queues) with approval steps where the stakes require them
- Document intelligence for extracting structured data from invoices, forms, applications and reports
- Classification and routing for support requests, leads, and internal requests
- Model integration into existing software through APIs, webhooks and background jobs
How we keep it honest
Every AI feature we ship comes with an evaluation set: real examples, expected outcomes, and a score we track as prompts, models and data change. If accuracy is not good enough for the decision at hand, we add a human-in-the-loop step rather than pretending.
We choose the model per task. Some work needs a frontier model; a lot of it runs well and cheaply on smaller ones. Costs are estimated before build and monitored after.
Data handling
We design for the data you are allowed to send where. On-premise and private deployments are possible when contractual or regulatory requirements demand it.
Questions we hear often
Will our data be used to train models?
What if the model is wrong?
Other capabilities
Need ai systems & agents done properly?
Tell Highlight Innovationz about the business behind the request. We will scope it honestly and show you what the first release should be.