What's the difference between AI strategy and just buying a product like Microsoft Copilot?

A product like Copilot is one tool that solves one set of problems. An AI strategy looks at your entire business, the processes, the data, the people, the costs, and decides where technology investment (AI or otherwise) will have the most impact. Sometimes that's Copilot. Sometimes it's a custom model, a workflow automation, or a better reporting layer. Strategy first means you buy the right thing, not just the thing that's being marketed at you.

AI & Data Intelligence · AI Strategy & Roadmap · Anthropic & AWS Partner

AI strategy consulting for Australian businesses.

A clear path from where you are to where AI can take you. Most AI projects fail not because the technology doesn't work, but because there's no clear plan connecting it to actual business outcomes. We help you figure out where AI genuinely adds value for your business, what to prioritise, and how to get there without wasted spend.

Book a Discovery Call What's included

ISO 27001 certified ISMS Assessment to action plan in eight weeks Twenty years of Australian IT delivery

AI strategy & roadmap

A plan you can act on

Business case
Prioritised roadmap
Build vs buy, per use case
Governance framework

How an engagement runs

Discovery
Current state
Opportunity mapping
The roadmap

We tell you honestly where AI fits, and where it doesn't.

We've built our own AI platform (MARS) and we're an Anthropic and AWS partner. That means we see what works in practice, not just in pitch decks. We'll be straight with you about where the real opportunity is.

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From assessment to action plan. In eight weeks or less.

An AI strategy engagement isn't a research report. It's a practical plan with a business case, a prioritised roadmap, and clear ownership. You walk away knowing what to do next, in what order, and what it will cost.

What an AI strategy engagement covers

Current-state assessment: Understanding your operations, data and team capabilities
Use case identification: Where AI creates genuine, measurable value in your business
Build vs buy: Analysis and recommendation for each AI use case
AI roadmap: Prioritised with sequencing, dependencies and effort estimates
Business case: ROI modelling and justification for priority AI initiatives
Governance framework: Data handling, privacy, ethics and risk
Capability review: Team AI readiness and upskilling recommendations
Vendor landscape: Technology options reviewed against your specific requirements

Why listen to us

Built on real-world AI experience

We've built and deployed AI in production environments, including our own MARS platform. We advise from experience, not from a framework we read last quarter. And as an Anthropic and AWS partner, we have access to the technology and people that matter. We work with businesses across professional services, healthcare, defence and government.

Once your strategy is set, we can deliver on it, through automation and workflows, data and reporting, or custom AI platform development.

How it works

Workshops, not deliverables. Decisions, not documents.

We work with your leadership team across three structured phases, each building on the last.

Assess

Understand the business

Discovery workshops with your leadership and operational teams. We map your processes, your data sources, your pain points and where time is being lost. No assumptions. We listen first.

Design

Identify real opportunities

We score each opportunity by impact, feasibility, data readiness and risk. You see a ranked list of AI use cases with honest assessments, including ones we recommend against pursuing.

Roadmap

Build the plan

A 12-24 month roadmap with sequencing, cost estimates, resource requirements and success metrics. Presented to your board or leadership team, ready to act on the day we hand it over.

We built a tool to help your team surface and prioritise AI opportunities.

Most businesses have more AI potential than they realise. The challenge is getting it out of people's heads, understanding where the most value is, and turning it into something you can actually act on. We built the InterIntra AI Strategy Hub to do exactly that: gather ideas from your team, automatically score them by impact and effort, and turn the results into an executive-ready briefing.

Ideas from your team, scored and ranked.

The AI Strategy Hub is available to InterIntra customers as part of our AI strategy service. Share the staff access code with your team, let them spend 10-15 minutes submitting ideas, and we'll walk through the matrix and executive briefing together in your next session.

A free self-paced tool. Your team submits ideas, we score them by impact and effort, and you get an executive-ready priority matrix.

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What the Hub does

Team idea captureStaff submit AI and automation opportunities in 10-15 minutes, describing the current situation and what better looks like
Impact vs Effort matrixEach submission is automatically plotted so quick wins and larger strategic initiatives surface immediately
AI-assisted ideationAn integrated AI assistant helps your team formulate and articulate ideas before they submit
Executive briefingWhen you're ready, generate a PDF-ready strategy document to support your leadership discussions
Live dashboardResults update in real time as your team submits, with filtering by category and progress tracking

Built with Claude Code and hosted on AWS. The AI intelligence layer runs on Amazon Bedrock with Claude Opus 4.6, a working example of what we can build quickly for our customers.

Assessment to action plan, in about eight weeks.

A roadmap you can act on, with the sequencing and the costs attached, not a slide deck about what AI might do one day.

01 · Free · 30 minutes
Discovery
What you are actually trying to improve, and whether AI is the right tool for it at all.
02 · Evidence
Current state
Your data, systems and permissions as they are today, which is what determines what is possible.
03 · Prioritised
Opportunity mapping
The candidate use cases, each with an estimate of effort and likely return, ranked rather than listed.
04 · Actionable
The roadmap
A sequenced plan with costs, dependencies and a first step small enough to start on.

Questions

Got questions? We have answers.

Something else? Call 1300 080 000 and you'll get a straight answer.

How do we know if AI is actually right for our business?

That's exactly the question we start with. Most of our strategy engagements begin with a current-state assessment, understanding your operations, your data, your team capabilities and your business goals. From there we identify specific use cases where AI creates genuine, measurable value. If the honest answer is "not yet" or "not this use case", we'll tell you.

How long does an AI strategy engagement take?

A focused AI strategy engagement typically runs four to eight weeks, depending on the complexity of your business and how many areas you want to assess. We work with your leadership team over a series of workshops and interviews, then deliver a written strategy document and roadmap you can act on immediately.

What's the difference between an AI strategy and just buying Microsoft Copilot?

A product like Copilot is one tool that solves one set of problems. An AI strategy looks at your entire business, the processes, the data, the people, the costs, and decides where investment will have the most impact. Sometimes that's Copilot. Sometimes it's a custom model, a workflow automation, or a better reporting layer. Strategy first means you buy the right thing, not just the thing being marketed at you right now.

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