AI Implementation

We build custom AI systems. We'll also get yours implemented properly.

From team setup on Claude, ChatGPT or Copilot through to autonomous agents running inside your business. Built by Brisbane software engineers with production AI systems live in health, automotive and regulated industries. From $2,500.

Not a generic AI installer. Implementation is often the first engagement with us, not where we stop.

Book a free call 30 minutes · No obligation
We set up & build on
Claude
ChatGPT
Gemini
Copilot
Building on foundation models since day one.

50+

Years combined engineering experience

Day 1

Building on Claude, GPT & Gemini since launch

2020

Running production platforms since

Not sure where to start? We'll tell you straight on a 30-minute call.

Book a free call

Agentic AI

Assistants answer questions. Agents do the work.

An assistant waits for a prompt and gives you text back. An agent is given a job: it plans the steps, uses your systems to carry them out, checks its own output and escalates when it isn't sure. That difference is why agents need real engineering, and it's where most of the value is.

Watch the amber row: anything unusual goes to a person, never out the door.

Inbox triage agent

watching support@yourco.com.au

09:12New email — “Can I get a quote for 40 seats?”

every action logged · boundaries enforced in code · kill switch armed

Jobs agents are running in businesses today

Inbox triage

Reads incoming email, classifies it, drafts the reply and files the rest. Your team reviews the drafts that matter instead of wading through the lot.

Document intake

Takes invoices, forms and reports as they arrive, extracts the fields your systems need and writes them into your system of record.

Compliance checking

Gates outgoing work against machine-checkable rules. We built one that verifies every regulatory submission against the standard before it leaves the building.

Customer follow-ups

Chases quotes, confirms bookings and answers routine enquiries from your live data, and hands anything unusual to a person with full context.

Under the hood

The engineering that makes agents safe to run

Every engagement includes a traffic-light guide built for your business: which work AI handles, which it drafts for review, and which stays human-only.

Human-in-the-loop escalation

The agent knows what it's allowed to decide and hands everything else to your team, with the context attached.

Action boundaries in code

What an agent can and can't do is enforced in software, not written in a policy document.

Audit logging

Every action, input and decision is recorded, so you can answer "why did it do that?" months later.

MCP integrations

Agents reach your systems through the Model Context Protocol, the open standard both Anthropic and OpenAI support.

Agent orchestration

We coordinate multi-step and multi-agent work with Claude Code and the Claude Agent SDK, the same tooling we use to build software every day.

Case study · 2026

An agentic knowledge base for regulatory conformance

For a regulated software vendor, we built agents that ingest specifications, workbooks, PDFs and email into a cited knowledge graph, triage reviewer feedback and gate every submission against machine-checkable rules. It drafts replies but is structurally incapable of sending on its own.

100% cited

Every claim traceable to source

Hours, not days

Reviewer-feedback triage turnaround

30+

Conformance scenarios tracked end-to-end

Read the case study

Tools & platforms

We work with the tools you already use

We don't add new platforms for the sake of it. We configure, connect, and build on top of the tools your team already knows.

AI Platforms

The AI tools your team will use day-to-day

Claude

Anthropic

ChatGPT

OpenAI

Copilot

Microsoft

Gemini

Google

Integrations

The systems we connect AI to on project work

Xero

Accounting

Salesforce

CRM

HubSpot

CRM

Gmail / Outlook

Email

Slack

Comms

SharePoint

Documents

Confluence

Knowledge

Notion

Workspace

Infrastructure

Where we deploy and host AI systems

AWS

Cloud

Azure

Cloud

Google Cloud

Cloud

“The Stacktrace team are highly efficient and adaptable. They have a high level of expertise and are able to complete projects effectively with an excellent eye for detail.”

Dr Dave Wood

Trusted by teams in

Financial services · Construction · Healthcare · Professional services · Education · Technology

Aligned with Australian Government AI guidance (AI6), NIST, and ISO 42001.

⚠️

December 2026: If your AI makes decisions that affect people, new rules apply

The amended Australian Privacy Act means you need to tell people when AI is involved in decisions about them, and give them a way to challenge those decisions. If you're using AI in workflows or running autonomous agents, this affects you. Our workflow and agent guardrails get you ready.

Your data stays on your infrastructure

We deploy into your own AWS or Azure account, in Australian regions. Customer data and queries never leave your environment.

Data residency by design

Hosting posture is agreed before anything is built, including keeping personally identifiable data inside Australian data centres.

A regulated-sector track record

We run production systems in paediatric health and telehealth, and build production AI for regulated workflows. Audit trails and citations aren't add-ons in that work; they're the job.

FAQ

Questions buyers ask us

What's the difference between implementation and a custom build?

Implementation gets your team productive on tools that already exist: Claude, ChatGPT or Copilot, configured for your business with training and guardrails. A custom build is software we engineer for you, such as a document pipeline, a customer-service knowledge base or an autonomous agent. Many clients start with implementation and move to custom work once they can see where the value is.

How do you keep AI agents safe?

Boundaries are enforced in code, not policy: what an agent can do, what it can't, and what needs a human. Every action is logged, escalations go to your team with full context, circuit breakers halt the agent when something looks off, and a kill switch is always available. We also build a traffic-light framework for your business so it's clear which work AI should touch at all.

How long does it take?

A team setup is one to two days. Workflow projects run one to three weeks depending on how many systems we're connecting. Autonomous agents typically take four to eight weeks including monitoring and governance. We can usually show a working proof-of-concept within the first few weeks of any custom build.

What do you need from us?

A decision-maker who can spend a few hours with us, access to the systems we're connecting, and real examples of the work you want AI to do. We handle the rest, and everything we produce is yours to keep. There's no ongoing lock-in.

Which AI vendor do you use: OpenAI or Anthropic?

Both. We're a member of the OpenAI Partner Network and we build on Anthropic's Claude every day, so we pick the model per use case rather than per allegiance. Being fluent across vendors is a feature: you get the model that's best at your problem, and no single-vendor lock-in.

Do you only work with Brisbane businesses?

We're based in Brisbane and work face-to-face across South East Queensland, but we deliver Australia-wide and into New Zealand. Same timezone, and on-site when it matters.

Start small

Want to start with something small?

Our team setup is the low-risk way in. Two days with our engineers and your team is working on the right AI tool, configured for your business, with training that sticks and clear rules on what AI should touch. One fixed price, no follow-on obligation.

$2,500

Fixed price · 1–2 days

Book a setup Free 30-minute call first

What you get

  • Claude, ChatGPT or Copilot set up and configured for your business
  • A prompt library for your top 10–15 use cases, tested on your real work
  • Two hours of hands-on team training, on your tasks rather than slides
  • Plain-language data rules: what goes into AI and what never does
  • A traffic-light guide to which work AI should and shouldn't touch

Not sure where to start?

Let's figure it out together

Book a free 30-minute call. We'll look at how you're using AI today, where the biggest opportunities are, and what makes sense to start with.

Team setup $2,500Projects from $8,000Agents from $20,000
Book a free call