Service

AI Integrations

Practical AI wired into your product — assistants, semantic search, content generation, and document Q&A. Real features that ship, with guardrails and a human in the loop. No hype.

What We Build

AI capabilities that solve a real problem — integrated, not bolted on.

AI assistants & chatbots in your app

Semantic search & retrieval (RAG)

Document Q&A and summarisation

Content & copy generation workflows

Workflow automation & smart actions

Server-side keys — no secrets in the client

Streaming responses & tool calling

Evaluation & guardrails before launch

Who This Is For

AI is worth it when it removes real, repeated friction.

Products adding an AI feature

You have a working app and want to add an assistant, smart search, or generation feature without bolting on a fragile prototype.

Teams buried in documents

Knowledge trapped in PDFs, wikis, and tickets. We wire up retrieval and Q&A so your team (or customers) get answers, with sources.

Support & ops teams scaling

Repetitive questions and manual triage eating hours. We add AI-assisted drafting and routing that keeps a human in the loop.

How We Work

We prove quality on your real data before building the full feature.

Step 1

Use-case fit

We pressure-test the idea: is AI the right tool, what does good output look like, and where must a human stay in control?

Step 2

Prototype

A working slice against your real data — so you can judge quality early, before committing to a full build.

Step 3

Integrate

We wire it into your app properly: server-side keys, streaming, rate limits, caching, and graceful fallbacks.

Step 4

Evaluate & ship

Guardrails, evaluation on real prompts, and cost monitoring before go-live — then iterate on quality.

Pricing

From $2,500 AUDSingle AI feature

Add-onOn top of an app build

Scope drives price — a chatbot differs from a full RAG pipeline. We quote fixed-scope after a short discovery call.

Frequently Asked Questions

Wondering where AI fits in your product?

Tell us the problem you're trying to solve. We'll tell you honestly whether AI is the right tool — and how we'd build it.