We design, build, and deploy production-grade AI agents for Australian mid-market and SMB companies. Strategy through delivery, under one roof. Two-week sprints to ship-ready agents in twelve weeks — without the consulting bloat.
Most AI consultancies sell strategy and disappear before delivery. We sell delivery and refuse to disappear. Every product is fixed-scope, fixed-price, and produces a real artifact your team can use — even if you never engage us again.
A focused two-week engagement that maps where AI agents create the most value in your business over the next twelve months, ranks the opportunities by ROI and feasibility, and gives you a buy-build-partner recommendation for each.
You walk away with a roadmap your board will sign off on — and the confidence to know which agents will actually pay back.
End-to-end custom agent development for a single use-case. Spec, design, build, integrate, deploy, monitor. We work alongside your team — your domain expertise, our engineering — and we ship to production, not to a slideshow.
Stack: LangGraph or custom orchestration · Anthropic Claude, OpenAI, or open-source models · vector + structured retrieval · LangSmith / OpenAI evals · your existing infrastructure.
Industry-specific agent products you can drop into your stack and have running in five days. Each one is pre-trained on the workflows, terminology, and edge cases of a single vertical — no green-field build required.
Currently shipping: Buyer Qualification Agent for real estate. Next quarter: agents for accounting reconciliation, recruitment screening, and legal research.
For teams running agents in production. We handle the unglamorous, mission-critical work: evals running daily, drift detection, incident response, prompt and model upgrades as new releases land, observability dashboards reporting to your exec team.
Your agents stay sharp as your business — and the underlying models — evolve.
Every engagement follows the same rhythm. Tight scope, weekly demos, ruthless prioritisation. The agent is in your hands earlier than you expect — and so is the decision about whether to ship it.
Most AI projects fail because they target the wrong workflow. We start with a half-day workshop, map your operations, and find the three places where an agent saves $200K+ in the first year. Then we pick one.
Spec in week one. Working prototype in week three. Production deploy by week eight to twelve. Every week we demo what's built, what's broken, and what's next — no surprises at the end.
Evals, observability, runbooks, and team training. Your agent doesn't degrade silently in production because we built the monitoring system before we built the agent.
In Q3 2026, AI agents have moved from "interesting demo" to "enterprise budget line item." Mid-market AU companies are now allocating real spend — $200K to $2M annually — to agent deployments. The companies that move in the next twelve to eighteen months will compound advantages their slower peers will spend the next decade trying to close.
Frontier models hit a reliability threshold in late 2025 that made multi-step agent workflows commercially viable. The gap between "impressive demo" and "shippable system" closed. Tooling for evaluation, observability, and orchestration matured in parallel.
A custom agent that cost $500K to build in 2023 now costs $30–80K. Inference costs dropped 95% on equivalent capability. What was previously only justifiable for enterprises is now squarely in the SMB budget envelope.
Most Australian companies between 10 and 500 employees have not yet deployed agents into production. Big 4 firms quote $300K+ for projects boutiques deliver for $50K. The arbitrage window is real and time-limited.
The 2025–2026 federal AI investment plan, R&D Tax Incentive on qualifying AI builds, and state-level grants (NSW Innovation, Vic Future Industries) cover 30–50% of project cost for eligible companies. We help our clients access them.
A Melbourne bayside agency was losing 30% of inbound buyer leads to delayed response times. Their sales agents spent two hours daily on initial qualification calls that produced no commission. We built an agent that handles those first conversations end-to-end: budget, timeline, financing, must-haves, deal-breakers. It books a calendar slot with the right human agent only when the buyer is qualified.
→ This is now available off-the-shelf as our productized Buyer Qualification Agent.
Working notes from the field. Practical, opinionated, occasionally contrarian. Built for AU operators and engineers who want signal over hype.
If you're trying to figure out where to start with agents, here's the heuristic: look for high-volume, rules-based interactions with structured outputs. We rank the most common candidates and show how to evaluate them.
The biggest unlock in production agent development isn't a better model. It's a better evaluation harness. We walk through the eval-first methodology we apply on every Build & Deploy engagement.
Between the federal R&D Tax Incentive, state innovation grants, and sector-specific programs, eligible AU companies can recover 30–50% of agent-build costs. Here's the practical breakdown.
Thirty-minute strategy call. No deck. We talk through your business, identify the two or three places an agent earns its keep, and tell you whether we're the right people to build it.