Service
AI strategy and roadmap: a prioritised plan for putting AI to work
An AI strategy and roadmap turns the findings of a readiness assessment into a clear, prioritised plan. For each opportunity it sets out the effort, costs and expected outcome, the systems involved, and the order to build in, so your leadership team can approve AI investment one sensible step at a time.
Vermilion Intelligence is an AI and automation consultancy helping mid-to-large organisations in Australia and New Zealand put AI agents to work on repetitive tasks.
What's in your roadmap
A strategy says why and where AI fits your business. A roadmap says what happens next, in what order, and what each step will take. We keep both short, practical and tied to the work your teams actually do.
The roadmap is a working document. It's reviewed as agents go live and as your priorities change.
Prioritised opportunities
Each automation candidate, ranked by value, effort and risk, with quick wins separated from larger builds.
Effort and costs
The build effort, ongoing running costs and the internal time needed from your people for each item.
Expected outcomes and measures
What each piece should change and how you'll know it's working, agreed before anything is built.
Dependencies
The data clean-up, system access, integrations and approvals each item relies on.
Ownership and governance
Who owns each agent, where people review outputs, and which policies apply.
Sequencing
A sensible order of work that builds capability and confidence step by step.
How it works
How we build the roadmap
Step 1: Start from the assessment
We use the readiness findings, or run a short review first if you've already done your own.
Step 2: Leadership workshop
We test priorities against your business goals, budget cycles and risk appetite.
Step 3: Draft and cost
We set out effort, costs, outcomes and dependencies for each item.
Step 4: Review and approve
You get a roadmap your leadership can approve, with a clear first project.
FAQ
Frequently asked questions
What's the difference between an AI strategy and an AI roadmap?
An AI strategy explains why and where AI fits your organisation: the goals, the areas of focus and the principles you'll follow. An AI roadmap is the practical plan underneath it, listing specific projects in priority order with the effort, costs, dependencies and expected outcome for each. Most mid-sized organisations need a short strategy and a detailed roadmap.
Do we need a roadmap if we only want one AI agent?
Not a large one. For a single agent, a one-page plan covering the process, systems, data, risks, owner and success measures is usually enough. It still pays to note other opportunities you find along the way, because a second and third agent can often reuse the same integrations.
How often should an AI roadmap be updated?
Review it whenever an agent goes live and at least at each planning cycle. AI models, tools and pricing change quickly, and real results from your first projects will change your priorities. A roadmap that never changes is usually one nobody is using.
Related services and solutions
AI readiness assessment
A structured review of your processes, systems and data that shows where AI is likely to pay off, and what to automate first.
How we work, and how AI automation is costed
Our four steps, and how cost and timeline are scoped.
AI agent development
Custom AI agents that read, decide and act across your tools to complete repetitive tasks, with people approving what matters.
AI governance
Policies, ownership, risk and privacy assessment, and human oversight that keep AI safe, lawful and accountable.
Tell us about the repetitive work you'd like to hand over
Send us a short description of the tasks, the team and the systems involved. We'll reply with an honest view of whether AI agents are a good fit, and what an assessment would look at.
Or email raj@vermiliong.com.au