AI implementation for Australian companies. Embedded operators. 90-day sprints. Workflows that actually run.
Every team has access to AI. Most have shipped a few wins. Almost none have it running as infrastructure.
"AI ambition keeps missing AI ROI because nobody installed the operating layer between them."
For 90 days inside your business. Then each one goes back to where it belongs — Vision to your leadership, Implementation to engineering, Operation distributed across your team.
We pick the workflows that matter, validate against your strategy, sequence the build.
We install the architecture, the skill library, the context layer. Inside your stack.
We run the workflows on real client work, then train your team to run them after we leave. Different workflows, different owners — distributed across your people.
Vision and Implementation return to roles you already had. Operation distributes across your team — trained, equipped, owning their workflows. That's the install.
Map the workflows. Score AI readiness per team. Identify the 6–9 highest-leverage workflows to ship first.
Forward-deployed operator inside your business. Install the architecture. Train the team. Ship the workflows.
Custom infrastructure when a workflow needs more than a skill, agents, integrations, internal tools. Not every engagement needs this.
Office hours. Skill request inbox. Continuous improvement after the team owns it.
One sequence. One install. One team that owns it.
A shared brain that gives every team the same context, every time. Built on the tools you already use. Engineering keeps its own lane.
The Audit is your low-risk way in. You walk away with a workflow map and a 90-day plan, whether you go further with Works or not.
One forward-deployed operator embedded with your team. Lives in your existing tools (Slack, Drive, your stack). Works alongside your people, not over the top of them.
Mix is shaped in the Audit. We pick the workflows that ship the fastest wins and compound the most for your team.
Yours will look different. Each workflow is run 3+ times during the Embed, iterated on real client work, then handed over to an internal owner.
Clear lines on what we do and don't do are how the install holds after we hand it back. Here's what we leave to your team or your CTO.
If a workflow needs custom code, we scope a Build engagement around it. Your engineering team owns the codebase, always.
If your product has AI features, that's your CTO's lane. Works is for the operating layer between AI and your revenue team.
We use what you already run. If a workflow needs a different tool, we flag it in the Audit with reasoning. No surprise stack changes, no sprawl.
We install the layer that lets your people do their best work. Then we leave them with the keys, the architecture, and an internal owner who can run it.
The role is being defined right now. First movers compound. Late movers retrofit.
90 days inside your business. We install the architecture and train your people to run it. By day 90, your team is operating AI as infrastructure, building their own workflows, owning the system.
Not asking IT to use it for them.
Indicative ranges below. Final scope shaped during the Audit. Bundle pricing available for full Audit → Embed → Optimize.
Pricing positioned for Australian mid-market. Final commercials shaped on intro call.
A 30-minute intro call to scope the Audit. We map your stack, your team, the workflows that hurt the most, and the right shape of engagement.
No commitment beyond the call.
workshq.com.au →