Four service lines, delivered by a Melbourne engineering team that actually ships software. We use AI only where it genuinely beats the traditional approach.
We work with your team to identify the right AI use cases, design a realistic roadmap, build and integrate the solution, then hand over a system your people can operate. Strong fit for SMBs and mid-market teams across Melbourne and Australia.
Hands-on enablement for teams that already pay for AI tools but aren't getting the productivity. We design workshop curricula around your real workflows, set up internal champion programs and build prompt libraries tied to actual tasks.
For boards, executive teams and HR leaders shaping their organisation's AI direction. We deliver executive briefings, build internal AI curricula, and supply Australian-context policy templates aligned with the Privacy Act and Voluntary AI Safety Standard.
Not every problem is an AI problem. We deliver the broader IT work that lets AI actually run: email and data migrations, internal tooling, API integrations, infrastructure cleanup and the unglamorous plumbing that real organisations need.
We start by understanding the business problem — not the technology. Workshops, interviews and an audit of what already exists.
A prioritised roadmap with effort, cost and risk estimates per initiative. Decisions on build vs. buy, what stays internal, what doesn't.
We build, integrate and ship. Production code, real evaluations, monitoring and the integrations that connect AI to the rest of your stack.
Training, documentation and a champion program so the team that owns the work after us is set up to succeed without us.
Australian SMBs (10–200 staff) looking to ship their first AI use case
Mid-market operations teams modernising internal tooling
Professional services firms (legal, accounting, agencies) embedding AI in delivery
Government-adjacent and not-for-profit organisations balancing AI ambition with compliance
Most engagements fall between AUD 15,000 for a focused discovery + roadmap and AUD 150,000+ for a multi-quarter implementation. We price by scope rather than time, so you know what you'll pay before we start.
Yes — for Melbourne-based clients we run discovery workshops and key sessions onsite. Day-to-day delivery is hybrid, with regular onsite check-ins as needed.
A focused proof-of-value runs 4–6 weeks. A production AI workflow typically takes 8–14 weeks from kickoff to handoff, depending on integration complexity and data readiness.
We do both. We are software engineers first and advisors second — we'll happily own implementation through to production, or supply the roadmap and review architecture if you have an internal team to deliver.
Every engagement starts with a data-handling review. We prefer Australian-region cloud deployments where possible, document what data trains or fine-tunes which model, and align with the Voluntary AI Safety Standard and the Privacy Act 1988.
Yes — handoff is treated as a deliverable, not an afterthought. We document everything, run training sessions, and offer optional retainers for the first few months post-handoff.
We've worked across retail, professional services, logistics, healthcare practices and not-for-profits. Our preference is operationally complex SMBs and mid-market organisations rather than pure consumer apps.
A free 30-minute discovery call. We'll tell you whether AI is the right answer — and if it is, what shipping it actually looks like.