Business AI integration & automation
AI that pays for itself,
wired into your business.
We build LLM-powered systems for Australian businesses, workflow automation, assistants grounded in your own data, and predictive analytics wired into the dashboards your team already checks. Every engagement starts as a scoped pilot with a baseline measurement, so you know whether it paid for itself.
We don’t sell AI strategy decks. We ship working systems and measure the result.
What you get
Workflow automation
Document intake, triage, and processing pipelines, an LLM layer over your existing systems, with human review exactly where judgement matters.
Grounded assistants
Support copilots and knowledge assistants built on retrieval (RAG) over your data, with evaluation sets and guardrails, not a chatbot that improvises your refund policy.
Decision support
Forecasting and predictive analytics delivered into the tools your team already uses, so the model output actually changes decisions.
Your data, governed
Your data is never used to train foundation models. We deploy via enterprise API tiers with zero retention, or inside your own cloud, AWS Bedrock, Azure OpenAI, or self-hosted.
How we work
A data-driven methodology
from concept to scale.
Workflow audit
We map the workflow, measure the current cost (hours, error rate, turnaround), and pick the one process where AI delivers the clearest return.
Workflow map • Baseline metrics • Pilot scope
Pilot build
A production-quality slice in 6 to 8 weeks: the LLM pipeline, integrations with your systems, and human-in-the-loop review where it matters.
Working pilot • System integrations • Review workflow
Evaluate & harden
Evaluation sets, guardrails, and monitoring before anything touches customers. We test against real cases from your business, not demos.
Eval suite • Guardrails • Monitoring
Measure & scale
Pilot numbers against the baseline, in writing. If the system paid for itself, we scale it to adjacent workflows; if it didn’t, you’ll hear that from us first.
Outcome report • Cost-per-task numbers • Scale plan
More info?
Check out the specifics
Document processing
Intake, extraction, classification, and routing for invoices, applications, contracts, and reports, with human review queues for the edge cases.
RAG knowledge assistants
Internal or customer-facing assistants grounded in your documentation, policies, and product data, with citations, so answers are checkable.
Support automation
Triage, drafting, and resolution suggestions layered onto your existing helpdesk. Agents stay in control; the repetitive work disappears.
Predictive analytics
Demand forecasting, churn signals, and anomaly detection delivered into dashboards your team already checks.
Custom LLM pipelines
Multi-step AI workflows with structured outputs, tool use, and your business rules enforced in code, not in a prompt and a prayer.
AI readiness & data prep
Getting your data, access controls, and integrations to the point where AI projects succeed. Often the unglamorous half of the work.
FAQ
Still got questions?
Ready to start a project?
Let’s build it together.
Reply within 24 hours · intro call within the week · scoped proposal in 5 business days.