Develop AI Solutions
AI consulting and implementation, from training and governance to agents built around your business processes. We identify the next step and deliver the work.
Who It's For
Develop AI Solutions is for a business where AI is already in use and nothing governs it, and for one whose board has asked what the AI plan is.
- AI is already in use and nothing governs it.
- People are using AI tools, data is leaving the building, and there is no policy covering either.
- The board has asked what the AI plan is.
- There is pressure to act and no agreed view of which processes justify an agent first.
In both cases we locate the business on the Crawl, Walk, Run map and name the next move. At Adaca's 2026 roundtables, 45 of 50 businesses sat at the foundations stage and 4 had governance in place.
How It Works
- 1 Locate the business. The AI Diagnostic reviews each business unit against the foundations, governance and agent-building stages, identifies gaps and recommends the next stage of work.
- 2 Crawl: build the foundations. AI training across your teams, an enterprise licence with your chosen provider, and the policies that govern use.
- 3 Walk: govern the risk. Initiatives and risks registered, controls scored, and a dated record that survives staff changes and audits.
- 4 Run: build the agents. Agents built with your team against the processes with the clearest return, measured against real work before they go live.
You set the pace and own the decisions the governance record holds. We run the training, the risk register and the builds. We are vendor-agnostic across Claude, ChatGPT and Copilot, so the platform follows the use case.
Team Structure
The work is managed for you. In an Australia-led engagement, an Australian delivery lead is your point of contact, and everyone else reports through them.
Your team
You set the pace and decide which processes come first. Everything below this line is run on our side.
Delivery lead
Your point of contact, and accountable to you across every stage of the journey.
Project manager
Runs the work day to day inside our Manila delivery centre, and reports to the delivery lead rather than to you.
AI engineers
Build and test the agents against your processes, and instrument them so the gains are measured before launch.
The same line holds at every stage. Training, the governance record and the agent builds all run under the same lead.
Agent Discovery
Agent Discovery reads your public website and lists the agents each department could run, with the return and the hours saved, in about a minute. The Run stage starts with knowing which processes justify an agent.
- Department
- Where the agent sits and what it takes off the team
- Return
- What the process is worth once an agent runs it
- Time saved
- The hours it gives back, and the pages we read that from
We read only your public pages. Nothing is required from your systems, and no meeting is needed to see the output.
How It Compares
An Adaca AI engagement is vendor-agnostic across Claude, ChatGPT and Copilot, the platform follows the use case, and governance is a risk register and scored controls of your own. Every alternative below is a reasonable choice for some programmes. Read across a row to see where the two models actually differ.
| A platform vendor's own programme | An Adaca AI engagement |
|---|---|
| The programme is built around one platform. | Vendor-agnostic across Claude, ChatGPT and Copilot. |
| The recommended answer is their product. | The platform follows the use case. |
| Governance is whatever that platform ships. | A risk register and scored controls of your own. |
| A management consultancy | An Adaca AI engagement |
|---|---|
| They write the strategy and hand it over. | We write it and then build against it. |
| A second firm builds what the deck describes. | One team runs the training, the governance and the builds. |
| Production is somebody else's problem. | Agents are measured against real work before they go live. |
| Running it in-house | An Adaca AI engagement |
|---|---|
| Pilots start wherever there is enthusiasm. | The AI Diagnostic locates each unit and names the next move. |
| No named exit criteria between stages. | Crawl, Walk and Run each have exit criteria. |
| Pilots stall before production. | Agents are instrumented and measured before launch. |
Every AI engagement starts with the AI Diagnostic: a two-hour workshop and a costed roadmap. How We Charge sets out every model. If what you need built is a system rather than AI put to work across the business, explore Build Custom Software. The governance stage is described in AI Governance for Australian Businesses. We run AI consulting from Sydney and Melbourne.
For Childcare Centre Desktop, Adaca built a custom assistant on Claude that gives centre staff guidance on documentation, parent communication, compliance checks and staff training.
AI Use and Governance
Our guides cover finding ungoverned AI use and AI governance for financial services.
The AI Journey assessment is a self-assessment starting point for understanding your current stage. It does not detect AI tools or audit your systems.
Common Questions
What does the AI Diagnostic produce?
A view of where each business unit sits across foundations, governance and agents, the gaps to address, and the recommended next stage of work.
Where is the delivery lead based?
Management can be based locally in Australia or offshore. The location is agreed for the engagement. The team structure shown here illustrates an Australia-led engagement.
How is an AI engagement priced?
Either a monthly rate for the team, or a fixed cost for an initial outcome with later phases moving to a monthly model once milestones are met.
An estimate is built from the team the work needs, at the same engineer rates that apply to any Adaca engagement. There is no minimum project size.
What are Crawl, Walk and Run?
Three stages, taken in order. Crawl is the foundations: AI training across your teams, an enterprise licence with your chosen provider, and the policies that govern use. Walk is governance: initiatives and risks registered, controls scored, and a dated record that survives staff changes and audits. Run is agents, built against the processes with the clearest return.
Each stage has exit criteria, so moving to the next one is a decision rather than a drift.
Do we have to start at the beginning?
The AI Diagnostic places each business unit on the map and names the single next move, so a unit that already has training and policy in place does not repeat them.
You set the pace and decide which processes come first.
Which AI platform do you use?
Whichever fits the use case. We work across Claude, ChatGPT and Copilot, and the enterprise licence is yours with the provider you choose.
The platform follows the use case rather than the other way round.
What happens if AI is already in use without policy?
The AI Diagnostic identifies the missing foundations. Crawl covers training, an enterprise licence and policies governing use. Walk follows with governance: registered initiatives and risks, scored controls and a dated record of decisions.
How do you know an agent actually works?
Every agent is tested comprehensively against historical executions of the same or similar workflows, so it is measured on work that has already run rather than on a description of it. The requirements come from those executions, which is what keeps the build anchored to what the process actually does.
Agents are instrumented so the gains are measured before launch, and nothing goes live without your sign-off.
Who owns the agents you build?
You do. Intellectual property is assigned to you on payment, and that assignment is written into the contract rather than left to custom.
What do we have to do?
You set the pace, decide which processes come first, sign off before an agent goes live, and hold the decisions the governance record carries. The enterprise licence and the platform choice are yours.
The training, the risk register and the builds are ours, along with the delivery lead and the engineers.
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