AI integration and implementation, delivered across Australia
PlatformOne is a Brisbane-based AI implementation partner that connects AI to the systems your business already runs on — your CRM, helpdesk, ERP, database and internal tools — then ships it safely into production. We deliver remotely for organisations in every capital city and across regional Australia, turning promising AI pilots into working, governed, day-to-day operations.
What is AI integration and implementation?
AI implementation in Australia means moving AI from a demo to production: choosing the right use case, connecting a model or agent to your live systems, adding guardrails and access controls, then deploying, monitoring and improving it. Integration is the wiring — securely joining AI to your CRM, ERP, helpdesk, data and other tools so it can read, act and update.
Most Australian businesses do not have an AI idea problem — they have an implementation problem. A model in a browser tab is impressive, but it only creates value once it is wired into the systems where work actually happens: reading a ticket in your helpdesk, checking an order in your ERP, drafting a reply in your inbox, updating a record in your CRM, and logging every step for audit. Implementation is the unglamorous engineering that turns a proof of concept into something staff and customers can rely on.
Integration is the load-bearing part of that work. It means authenticating to each system, mapping your data, handling rate limits and errors, respecting permissions, and keeping everything in sync when things change. Done well, AI slots into your existing stack and workflows; done poorly, it becomes a fragile side project that quietly breaks the first time a customer hits an edge case. We treat integration and deployment as first-class engineering, not an afterthought bolted on at the end.
PlatformOne is based in Brisbane and delivers this work Australia-wide. Because implementation is mostly remote — code, integrations, review calls and shared dashboards — we work the same way with a team in Sydney, Melbourne, Perth or a regional town as we do down the road. You get a single accountable partner who scopes the outcome, builds it, connects it to your systems, and stays on to operate and improve it rather than handing over a slide deck and walking away.
If you are choosing an AI implementation partner, look past the demo and ask harder questions. Can they integrate with the specific systems you run, and have they handled the authentication and permission models those systems use? Do they build evaluation and monitoring so you can measure accuracy in production, not just eyeball it? Where does your data go, and can models run in a region and configuration that meets your privacy obligations? Who owns the code and the IP at the end? A good partner has clear answers, ships in small increments you can verify, and is comfortable being measured against a number rather than a vibe.
Built around your process
We design around how your business actually runs — not a generic template you have to bend to fit.
Fixed scope, quoted upfront
Outcome, timeline and price agreed before we start. No hourly surprises.
You own what we build
It's your system, your data, your IP — no per-seat lock-in, no black boxes.
It keeps improving
We stay on as an operating partner, hardening and expanding the system after launch.
What good AI implementation looks like
Wired into your real systems
We connect AI to the tools you already run — CRM, ERP, helpdesk, databases, inboxes and internal apps — so it reads live data and takes real actions, not sandbox demos.
Governed and production-ready
Least-privilege access, audit logging, human-in-the-loop review, evaluation and monitoring are designed in from day one, so AI ships to production safely and stays accountable.
Tied to a measurable outcome
Every engagement targets a specific number — resolution time, response speed, hours saved, error rate — so you can prove the ROI before scaling to the next workflow.
What we integrate and implement
We start where AI has the clearest, most defensible payback, prove it in production, then expand across the business. Common Australia-wide engagements include:
LLM & AI agent integration
Connect large language models and autonomous agents to your CRM, helpdesk and line-of-business tools so they can look things up, apply your rules and take real action. We choose the right model for the job, engineer the prompts and tools, and wire in the escalation paths so edge cases reach a human with context.
RAG & knowledge systems
Retrieval-augmented generation grounded in your own documents, policies and product data — accurate answers from your content, with citations, instead of generic model guesses. We handle ingestion, chunking, embeddings, vector search and re-ranking so answers stay current as your knowledge base changes.
Systems & API integration
Secure connections into Salesforce, HubSpot, Microsoft 365, Google Workspace, Xero, common ERPs, data warehouses and bespoke internal systems — with authentication, rate-limit handling, retries, error recovery and sync built to last. Where a system has no clean API, we find a safe path in rather than forcing a workaround.
Workflow & process automation
Wire AI into end-to-end workflows — intake, triage, routing, drafting, approvals and updates — so whole processes run with people supervising rather than doing every step. We map the current process, automate the repetitive middle, and keep humans on the decisions that genuinely need judgement.
Deployment, evals & monitoring
Ship to production with evaluation suites, guardrails, logging, cost controls and dashboards, so you can see accuracy, usage and spend at a glance and catch regressions before customers do. We treat AI like any other production system: tested, observable, versioned and recoverable.
Governance & security
Role-based access, data-handling controls, PII redaction, prompt and output guardrails and clear audit trails — aligned to your risk, compliance and Australian privacy obligations. You decide what each system can access and do, and models can be selected or hosted to keep sensitive data in-region.
How we implement AI, end to end
Assess & prioritise
We audit your systems, data and workflows, then rank use cases by value, feasibility and risk so the first build is the one most likely to pay for itself.
Design the integration
We map every system, data flow, permission and edge case, and design the model, guardrails, escalation paths and success metrics before writing production code.
Build, connect & evaluate
We build the solution, integrate it into your live stack, and test it against real scenarios with evaluation suites — so accuracy is measured, not assumed, before launch.
Deploy, operate & improve
We ship to production, train your team, monitor accuracy, cost and adoption, and keep hardening and expanding it as an operating partner, not a one-off vendor.
What does AI implementation cost in Australia?
AI implementation projects in Australia start around $8,000 for a focused, single-workflow build fully integrated into one system. Most organisations invest between $15,000 and $40,000 for a production deployment across several integrations, with larger multi-system programs scaling higher. Every engagement is fixed-scope and quoted upfront, with optional support and improvement retainers from $500/month.
Prices are indicative starting points in AUD and depend on scope, integrations and governance requirements.
Questions, answered
Get your AI into production
Book a free discovery call and we'll pinpoint the highest-value AI use case in your business, map how it connects to your systems, and show you exactly what it would take to ship it into production — wherever in Australia you're based.
Brisbane, QLD · Serving businesses Australia-wide