Without replacing what works. Without locking you in.
We build automation and AI systems directly under your accounts. Your credentials, your environment, your ownership from day one. It works across your teams and sites, with no per-seat fees as you grow.
Enterprise partnership from $45,000
Scoped as a 3-to-5 month structured program. Pricing confirmed after a strategy call.
Your automations are built under your company accounts. If you stop paying us, your systems keep running.
Models run on your own keys, with no markup, and you can switch providers anytime. Where your setup allows, we can deploy local, open models that run entirely on your own infrastructure, with no per-token cost.
Not just strategy.
The gap between a well-scoped plan and a working system is where most engagements stall.
We do the build. We run the training. We write the documentation. We hand over a system your team can operate and evolve.
We work inside your existing stack first. We do not add tools unless they are necessary and approved by your team, and we do not rebuild processes that are working.
What we leave behind is not a report. It is running systems, trained staff, and documented workflows with decision logic your team helped define.
The whole argument, in one place.
You own what we build, and nothing depends on us to keep it running. We work within your existing tools, policies, and governance framework, under your accounts where possible, with no markup on tool costs.
A phased approach with approval gates means you control what gets built and when.
We work within your governance structure, not around it. We do not connect systems or introduce external tools without documented approval. We respect your security protocols and data handling policies, and we produce documentation your team can audit and maintain.
You receive a complete handover of every system we build.
What one 70-staff professional services firm measured
That is one client's measured result, not a promise for yours.
See the actual builds, step by step →
We do not make percentage promises. Outcomes depend on scope, team, and starting conditions.
What we do commit to: documented workflows, trained staff, and running systems by the end of the engagement, with the measurement built in so you can see what changed.
We take a limited number of new enterprise partners each quarter, so each engagement gets the attention it needs.
We meet the people doing the work and run an on-site or remote process audit across the relevant departments, mapping current state workflows and capturing where work slows down, where mistakes happen, and where decisions sit with people that a system could handle.
Nothing is built in this phase. You approve the findings before we proceed.
We define decision rules, approvals, handoffs, and where agentic workflows can take over routine decisions and routing. With your team, we draw the line between what the system handles and what stays with a person. Every build component is scoped and approved before development begins, and your IT and operations teams review the plan.
We build automation systems and AI workflows inside your existing accounts and tools, following your security, access, and change control requirements. Each component is tested in a staging environment before going live.
We only introduce a new tool when it is required and approved. If it does not improve outcomes, we do not add it.
We test real scenarios and failure cases. We define escalation paths together, so when a workflow hits something outside its agreed decision authority, it routes to a human with full context.
We train staff by role, and deliver approved prompt templates, usage guidelines, and role-specific documentation. We reduce risk by making safe usage easy.
We do not hand staff a general-purpose AI tool and wish them well.
We hand over control to your team, then run a 30-day stabilisation window: tuning, reliability, and edge cases. We monitor live systems and resolve edge cases. It is not a second build phase.
At the end of the window we conduct a formal handover and close the engagement.
Not around them.
If you already have usage policies, data classification rules, or an internal LLM environment, we do not bypass them. We build within them.
We integrate our workflows with your internal LLM environment. We do not connect external AI tools without approval, and we do not ask staff to use personal or consumer AI accounts for work.
Practical controls, not policy theatre.
Role-specific guidelines defining what data can be used in AI workflows and what must never be entered.
Approved prompt templates for each role, so AI is used consistently. We also implement system prompts that constrain the AI itself, so misuse is designed down, not left to the user to avoid.
We build access controls into every system we create. Not every staff member needs access to every workflow.
Every automated workflow has defined escalation points, so anything outside those boundaries routes to a human.
Your client data stays in your systems. You control access.
See the full ownership and safety structure →
Have a specific compliance requirement? Talk it through with Doug directly.2 to 4 days on-site for audit, design, and training, then implementation and rollout. Best for organisations that prefer face-to-face work or have complex multi-team processes.
1 day on-site for discovery, then remote implementation and training. Suitable for organisations with distributed teams or interstate leadership.
Across multiple offices or sites, we structure the engagement to cover each location with consistent documentation and training. Quoted on sites and team size.
All formats include the same deliverables, governance documentation, and handover process.
We build under your accounts where possible. We are not a layer between you and your systems.
We do not mark up tool costs. You pay for your tools at the published rate, directly to the providers. We charge for our time and expertise.
We work until your team can run it without us, and after that you only pay again if you choose to. We do not create dependency as a retention strategy.
If the engagement ends, your systems keep running. Your staff have the documentation. Your team has the training. Nothing is locked behind our login.
There are no hidden off-boarding fees. You own the intellectual property and the infrastructure from day one.
We work alongside your IT team, not instead of them. IT retains ownership, and you receive full documentation at handover so your team can audit and maintain everything we build.
Yes. Data stays in your accounts, stored in Australia. Some processing may briefly run overseas and is deleted straight after, never used to train external models. For health or patient records, we can keep processing on Australian-region services so it stays fully onshore. We work inside your governance and do not connect external tools without approval.
It depends on your deployment. If you have an internal LLM environment, we build within it and extend what you have already approved rather than introducing competing tools.
Your systems keep running. Your team has the documentation and training. Ongoing support is optional and separate. No ongoing fee is required to keep your systems alive.
A single-department engagement runs about six to ten weeks. A cross-department enterprise program runs three to five months. The exact timeline is defined during scoping.
We do not take on more than we can deliver properly. Fewer engagements, each given senior-level attention, is how we keep the quality high.
$45,000 reflects the starting point for a three-month cross-department engagement. Final investment is confirmed after scoping. We do not quote a precise figure without scoping the work first.
The 30-day stabilisation window tunes for reliability, and you receive full documentation for basic maintenance. You can also retain us for ongoing support if you prefer.
Not necessarily. We prioritise your existing stack and only recommend new tools if they solve a problem your current tools cannot and the ROI is clear.
If you are weighing up options now, the honest next step is a direct conversation.
We will ask about your environment, your teams, and what you are trying to improve, then tell you straight whether it is worth us coming on-site. No proposal before we understand the problem.
Enterprise partnership from $45,000
Scoped as a 3-to-5 month structured program. Pricing confirmed after a strategy call.