Melbourne-based practitionersProduction AI delivery, not just strategy decks

AI Readiness Assessment for Your Organisation

Before you invest in AI, know exactly where you stand. Horizon Labs delivers a structured AI readiness assessment that tells you what to build, what to fix first, and where AI will actually move the needle.

Start Your Assessment

No obligation. 30-minute intro call to scope your situation.

Ready to adopt AI — but not sure where to start?

Unclear where AI fits your product

There is no shortage of AI use cases — but most do not apply to your specific product, data, or team. Without a structured assessment, it is easy to invest in the wrong place.

Data and infrastructure not ready

Most mid-market companies have the raw data but lack the pipelines, quality controls, and architecture to support production AI. Discovering this mid-build is expensive.

AI pilots that never reach production

Many organisations run proof-of-concept projects that demonstrate promise but stall before shipping. The gap between a notebook demo and a production system is larger than it looks.

A structured AI readiness assessment built for mid-market teams

Our AI readiness assessment gives your engineering leadership a clear, honest picture of your organisation's technical infrastructure, data maturity, and team capability — so your AI investment lands in the right place from day one.

Technical infrastructure review

We evaluate your current architecture, data pipelines, and cloud infrastructure against the requirements of production AI systems. You get a plain-language gap analysis, not a 200-page report.

AI opportunity mapping

We identify the highest-value AI use cases for your specific product and industry — ranked by feasibility, data availability, and expected business impact. This becomes the foundation of your AI product strategy.

Honest capability and risk assessment

We tell you what your team can realistically build and maintain, where external support adds the most value, and which AI approaches carry the highest risk for your context. No overclaiming — production AI is hard, and we say so.

What a structured assessment delivers

Typically 3–5

Prioritised AI use cases identified per engagement

100%

Of assessments result in a written, actionable roadmap

Mid-market focused

Designed for 50–500 person engineering teams, not enterprise

How the AI readiness assessment works

Discovery and stakeholder interviews

We meet with your engineering leadership, data team, and key product stakeholders to understand your current systems, strategic priorities, and where AI has already been attempted or explored.

Technical and data infrastructure audit

We review your architecture, data pipelines, tooling, and codebase against production AI requirements — identifying gaps in data quality, observability, MLOps capability, and integration readiness.

Readiness report and prioritised roadmap

You receive a clear written report covering your AI maturity across key dimensions, a ranked list of AI opportunities, and a practical roadmap for how to sequence investment — starting with what will deliver value fastest given your current foundations.

Frequently Asked Questions

We already have a data team — do we still need an external assessment?

Possibly not — but many teams find value in an external perspective, particularly when evaluating AI readiness for the first time or preparing to pitch an AI investment to the board. We are happy to scope a conversation first and tell you honestly whether an assessment would add value for your situation.

Will this assessment just tell us things we already know?

A good assessment should surface at least a few things you did not know — gaps in data quality, architectural constraints that would block specific AI approaches, or use cases you had not considered. If after our intro call it sounds like you already have a clear picture, we will say so.

What happens after the assessment — are we locked into a larger engagement?

No. The assessment is a standalone deliverable. Some clients proceed to a build engagement with us; others take the roadmap and execute internally or with another team. We design the output to be useful regardless of what you decide next.

Is this relevant to Australian compliance requirements like the Privacy Act?

Yes. Our assessments account for Australian regulatory context, including Privacy Act 1988 obligations around personal data used in AI systems and emerging guidance relevant to responsible AI deployment in Australia.

What industries do you work with?

We work across SaaS, fintech, healthtech, logistics, e-commerce, manufacturing, professional services, and insurtech. The assessment methodology is consistent, but the AI use cases and infrastructure requirements we evaluate are always specific to your industry and product.

Book your AI readiness assessment conversation

Tell us about your current stack, your team, and where you are trying to take AI. We will tell you honestly whether an assessment makes sense — and what it would cover for your specific situation.