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Typical projects $5K–$40K

AI Automations.

Workflows that run themselves — intelligently.

The problem

AI demos are easy. AI in production is hard.

It takes 30 minutes to build an AI demo that wows a meeting. It takes weeks of careful engineering to make one that survives real customer data, edge cases, hallucinations, rate limits, costs, and the moment someone asks the AI a question it’s never seen. We do the second thing.

What we deliver

Concrete deliverables.
No vague packages.

  • Use-case discovery & ROI assessment
  • Workflow design with proper guardrails
  • Model selection & prompt engineering
  • Evaluation framework & test suite
  • Cost & latency observability
  • Human-in-the-loop fallbacks where needed
  • Documentation & enablement

Our approach

Engineered, not vibe-coded.

Every automation gets a written specification, a test suite, an evaluation framework, and a fallback strategy for when the AI gets it wrong. We treat prompts as code: version-controlled, tested, monitored. The result is automation you can actually trust to run unattended.

Stack we typically use

Claude · GPT · Gemini OpenAI · Anthropic · Vertex APIs LangChain · Vercel AI SDK Vector databases n8n · Make (where it fits) Custom evaluation pipelines

FAQ

Common questions, answered honestly.

Will this replace my staff?

Almost never. Good AI automation typically removes the boring parts of work — data entry, classification, drafting — so your team focuses on the parts that need a human. We’ll tell you honestly when AI is the wrong tool for a job.

How do you stop the AI hallucinating?

Multiple layers — constrained outputs (structured JSON, function calling), retrieval grounding (RAG), confidence thresholds, human review for low-confidence cases, and evaluation suites that catch regressions before they ship.

What about data privacy?

We design for it from day one — choosing models with appropriate data terms (often Anthropic / OpenAI Enterprise), keeping sensitive data out of prompts where possible, and using Australian-region inference where it matters.

AR

Written and delivered by

— Founder & Technical Director

22+ years of practice across SaaS, ecommerce, healthcare information systems, manufacturing platforms, and government-adjacent compliance software. Every ai automations engagement is led personally — not handed off.

Let’s build something

The right system,
built once, properly.

If your business is ready to scale beyond what off-the-shelf tools can support — we should talk.