AI TRANSFORMATIONFor established Australian SMEs ready to put AI to work. We set up and train AI agents for your departments, industry and existing systems. We automate repetitive steps in your existing systems, train your team and test every workflow with human approval. Save time, reduce admin and create capacity to win more work.
Real systems, human review and team adoption. Use your existing software; Identify OS is optional.
The job is not simply to recommend a model, buy licences or build a prototype. A useful implementation partner owns the gap between what AI can do and what the business can actually put into production: the workflow, context, data, systems, governance, human review, adoption and commercial outcome.
For an established business, that usually means working with leadership and the people doing the job, then connecting the right AI capability into the operating reality already there.
One current AI workstream and one founder-built AI product. Both demonstrate how AI assistants, safe workflows and accountable people connect, with clear project status. No invented before-and-after results.
EXPLORE ALL PROJECTSPutting AI to work across a complex venue group.
Making migraine care easier to navigate.
See AI-led products, real operating environments and the workflows where assistants, agents and automation can create value. We distinguish active work from deployed, measured outcomes.
A complex multi-venue operating environment with an active AI workstream. We're identifying repeatable work, AI assistant opportunities, operational handoffs and safe automation priorities. The new group website is a public reference for the organisation, not a claim that AI has already been deployed.
A live AI-led migraine information and care-navigation experience, bringing conversation, user-controlled history and practical care pathways together. Clinical decisions remain with qualified clinicians.
A related chronic-illness support platform in the Clea family, showing how AI-assisted information, patient journeys and human support can work together. Not a separate Identify client or a second independent AI outcome.
Use a professional business audit to agree five owned, measured workflow changes before choosing a model or tool.
Configure each agent with approved knowledge, instructions, examples and permissions for the department and industry.
Test agent outputs and exceptions, then connect approved systems with human review and an accountable owner.
Train the people doing the work, redesign the operating rhythm and measure what changes after go-live.
Capture reusable components, governance and workflow IP so the next deployment starts from a stronger base.
You do need one when the opportunity crosses real systems, real accountability and real operating change.
The commercial spine is designed to move from clarity to production without separating strategy from implementation.
Human-led discovery turns leadership priorities, workflows, systems and economics into five owned initiatives, each with a safe first action and measurable success criteria.
EXPLORE THE TRANSFORMATION SPRINTGive agents approved knowledge, clear instructions and permission limits. Test them with your team, then connect the agreed systems and train the people using them.
SPEAK TO THE TEAMRun the improvements in the business tools your team already uses. Identify can support ongoing operation and measurement, with optional Identify OS when a shared view helps.
EXPLORE OPTIONAL IDENTIFY OSSee Identify's published Workshop and Transformation Sprint pricing, plus the eight factors that determine Production Build scope.
AI IMPLEMENTATION COST AUSTRALIAWe configure agents with approved knowledge, clear instructions, examples and permission limits, then test and refine them with your team. This does not mean training a new AI model from scratch or letting agents learn without review. We can scope a new agent or improve an existing one after reviewing your workflow and platform.
An AI implementation partner connects business strategy to production deployment. That means identifying the right workflows, designing the operating model, selecting and integrating technology, establishing governance, helping teams adopt the new workflow and measuring business outcomes.
Consulting can stop at analysis or recommendations. Implementation requires ownership through design, integration, production, workflow change and adoption. Identify is structured around Map, Build and Activate so the work can continue from opportunity through deployment.
You need enough strategic clarity to agree five commercially meaningful changes, with owners, first moves and success measures. You do not need an endless strategy program. The Identify business audit creates the reviewed Top Five Plan and delivery handover.
Identify OS carries the same five professionally reviewed priorities into training, agent drafts, implementation and progress tracking. Teams review real business results as each workflow goes live.
Identify designs around the workflow, data, security requirements, integrations and economics. The site references platforms including OpenAI, Claude, Gemini, Perplexity, Grok and Microsoft Copilot as technologies we can build across; those names do not imply vendor endorsement or certification.
It depends on workflow complexity, integrations, data access, governance and change requirements. A contained workflow can move much faster than a multi-system program. Identify scopes the implementation after the business problem and operating constraints are clear.
Identify publishes indicative pricing for workshops and the AI Transformation Sprint. Production Build and Embedded AI Partner engagements are scoped directly with the team because integration, workflow and governance complexity vary materially.
Already know the workflow? Let's discuss implementation. Still building your team's confidence? Start with practical AI training or a workshop before committing to a production build.