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AI Strategy
A short 3 to 5 day workshop that audits your readiness, pressure-tests the highest-value automation opportunities, and hands you a sequenced roadmap with working prototypes.
We design and build the automation and AI agents your operations need, then transfer ownership to your team. Add capacity without adding headcount.
For growth-stage operators and ops leaders who want shipped systems, not strategy decks.
A short 3 to 5 day workshop that audits your readiness, pressure-tests the highest-value automation opportunities, and hands you a sequenced roadmap with working prototypes.
Bespoke agents for the workflows that need judgment, not just rules. Wired into the tools you already use, with a full handoff so your team owns what we build.
Fast builds on n8n, Zapier, and Make. We connect your existing stack, tighten the underlying process, and leave behind documentation your team can run with.
Ongoing care for the systems we ship. Monitoring, tuning, and fixes so reliability holds up as your operations change. Execution-based or client-owned.
You could reclaim 80% of that, saving roughly $16,627/month. Let's talk about which workflows to start with.
Look before we leap. Readiness checks, workflow mapping, and prototype tests so we're confident we're tackling the right problem before resources go in.
Automation and agents tailored to how you actually work. Short cycles, regular feedback, frequent releases so we learn fast.
Roll out across your team with full docs, hands-on training, and a real knowledge transfer. The system is yours; the roadmap is yours.
Optional ongoing monitoring, tuning, and fixes. Your stack keeps running smoothly as your operations shift.
Strategy lead
15+ yrs operations & product
ex-SaaS operator · AI advisory
Engineering lead
15+ yrs systems & automation
ex-platform engineer · agents in prod
Senior people who have shipped this work before. You'll talk to the same humans who scope it, build it, and hand it off. No bench, no pitch-then-bait-and-switch.
Based in Melbourne · Working with teams across APAC, EMEA, and the US
Working notes from years of shipping AI and automation inside other people's organisations. If you read these and disagree, we are probably not the right team for you.
We measure success in time reclaimed, errors avoided, and revenue moved, not in slides shipped. Every engagement ends with a number you can defend.
Code, prompts, evals, runbooks. All of it is yours from day one. We retain no IP, no platform lock-in, no "managed" anything you cannot move tomorrow.
The people who pitched it are the people building it. No bench, no junior handoff three weeks in.
The smallest workflow that proves the model is the right place to start. We ship in days, not quarters, so the feedback loop is short and cheap.
If we think your idea will not pay back, we will say so on the first call. If we think you already have what you need, we will tell you that too.
We're publishing our own playbooks soon. Until then, here are the resources we recommend most often when clients ask, "where do I start?"
Patterns across customer support, ops, data extraction, and IoT, with concrete workflow templates you can adapt.
↗A real practitioner's account of turning supply-chain pain points into shippable n8n + GPT workflows.
↗End-to-end walkthrough of wiring Azure OpenAI into n8n for onboarding, permission management, and conversational ops.
↗Why workflow redesign (not the model) is the single biggest predictor of EBIT impact from gen AI.
↗A live library of community-built workflows: customer support, RAG, scraping, summarization. Useful as a starting point.
↗Official docs for Anthropic's CLI agent. Pairs well with custom internal tooling and one-off automation work.
↗Patterns for prototyping, design exploration, and shipping production UI with Claude in the loop.
↗Independent case studies showing the shape of impact you can expect from operations-focused automation and AI. Our own engagement stories are coming as we anonymize them.
Manual data pipelines and cross-platform integrations replaced with n8n workflows. Time redirected to core product.
↗One well-scoped automation, recurring monthly savings. The argument for starting narrow before going wide.
↗Task routing, quality checks, client notifications, and reporting all automated around an existing translation pipeline.
↗Enterprise-scale AI transformations across insurance, banking, and energy. Useful for benchmarking what "at scale" looks like.
↗Where agents are creating value across the operations value chain, with industry-specific patterns from procurement to manufacturing.
↗Pricing, tooling, and process, out in the open. Vagueness is the #1 killer of consulting inbound.
Ready to start? Let's talk about where you are and where you want to go.