Anthropic builds some of the most capable models in the world. Our job is getting them into production in Australia, safely and on budget.

The Omnia Collective is now a certified Anthropic partner, with certified team members across our AI practice.

For us, the partnership isn't about adding another logo to our technology stack. It's about building deeper capability around Claude, backed by people who understand how to apply the technology in real enterprise environments.

Because building a Claude demo is relatively easy. Getting one into production, connected to enterprise data and systems, governed appropriately, adopted by users and operating at a sensible cost, is much harder.

That's the part we focus on.

What the partnership means to us

The partnership gives our team access to Anthropic's technical resources and guidance as we design, deploy and support Claude-based systems at enterprise scale.

Combined with certified team members and our existing data, AI and digital engineering capability, we can work across more than the model itself. We can deal with the data, applications, infrastructure, governance and people around it.

For clients, that means a Claude implementation that doesn't stall the moment it hits real infrastructure, real data or real people.

What we do with Claude

Our work with Anthropic covers the parts of an AI build that projects often underestimate.

1. AI agent development: Multi-step, tool-using agents built on Claude for research, customer support, internal operations and repetitive or judgement-heavy workflows that consume a team's time.

2. Claude API integration: Embedding Claude into existing applications and workflows, so the model shows up where the team already works.

3. Retrieval-augmented generation: Knowledge assistants and search tools grounded in your own documents and data, built to cite sources rather than guess.

4. AI readiness assessment: A clear-eyed look at your data and systems before you commit budget, including what needs to be true before you build.

5. Responsible AI and governance: Evaluation frameworks, guardrails and human-in-the-loop checkpoints built in from day one, not retrofitted after launch.

6. Enterprise deployment architecture: Finding the right path to Claude for your environment, whether that's through the direct API or a cloud provider you already run on.

What this means for clients

Clients working with our Anthropic practice get:

• Certified Claude capability within the team, backed by experience delivering AI into real enterprise environments.

• Access to Anthropic's technical resources and guidance through our partnership.

• Guardrails and evaluation built in from day one, rather than retrofitted after launch.

• Model and cost guidance tuned to the use case, including the trade-offs between speed, capability and cost.

• A team that can work across the surrounding data, applications and infrastructure needed to get Claude into production.

Why this partnership, now

The market is full of firms that can pitch you a Claude project. What's harder to find is a team that has deployed AI into real infrastructure, with real users, and been there when something needs to change six months later.

That gap between demo and durable production is where many AI projects stall.

Our Anthropic partnership, certified team members and broader engineering capability help us close that gap, shortening the path from a promising use case to something that actually works inside the business.

Where this is heading

Claude is evolving quickly, particularly as organisations move from standalone generative AI use cases towards agents that can reason across information, use tools and complete multi-step work.

Our job is to keep up with what's changing, work out what's actually useful, and bring it into a client's environment when there's a commercial reason to do it.

If you're thinking about an AI agent build, a Claude integration or a broader AI strategy, get in touch.