The platform and services company for AI-native work

EnterpriseAI helps organisations and their partners redesign processes, build governed AI workflows, train people, and embed measurable adoption on the systems they already trust.

Our Story

EnterpriseAI was built around a simple observation: the model is not where enterprise AI usually fails. The hard part is getting from a promising demo to production work that is secure, governed, adopted, and measurable.

Our group brings together the platform, expert services, training, and adoption capability needed to close that gap. We help teams redesign the work, configure the AI workflow, connect just-enough context, keep systems of record in place, and make the new way of working stick.

That makes EnterpriseAI useful for enterprises, government teams, software vendors, and consulting partners. We arm the people who own the client relationship and the work; we do not need to replace the systems, the cloud, or the partner channel to make AI valuable.

Enterprise AI is listed in the MAV AI Procurement Register with a council planning application profile and named delivery partners. This establishes a specific public-sector service role. Our wider mission and design principles are described here separately from customer results or historical delivery claims.

Our Mission

To turn enterprise AI from scattered pilots into trusted, AI-native services: governed workflows that run in the customer environment, improve the work people actually do, and produce evidence that leaders can use to scale with confidence.

What We Believe

The work comes first

AI is useful when it changes a real workflow with a real owner, not when it adds another disconnected tool.

Governance is a product feature

Identity, access, audit, data boundaries, human review, and monitoring belong inside the workflow from day one.

Systems of record stay trusted

We curate context around existing systems, write outcomes back where needed, and avoid unnecessary rip-and-replace.

Humans stay accountable

AI should prepare, recommend, summarise, and accelerate work while keeping decision rights visible.

Adoption is part of delivery

Training, workflow support, feedback, and value measurement are designed before launch, not bolted on later.

Partners should be armed, not displaced

EnterpriseAI is built to help consulting firms, vendors, and internal teams deliver in their own brand and context.

Company facts and delivery principles

Australian company identity

ENTERPRISE AI PTY LTD — ABN 71 677 246 409. Read the linked company register below; historic relationship totals are not stated.

Published Sydney contact

Our published contact address is Level 12, 50 Carrington St, Sydney NSW 2000, Australia. Email growth@enterpriseaigroup.com to discuss the required delivery location.

Scoped delivery plan

Timing and completion evidence are agreed for each scoped workflow.

Own tenant

AI workflows designed to run beside trusted customer systems

Four legs

Platform, expert services, training, and adoption working together

Review deployment evidence

Verify the relevant deployment, scope and permissioned customer evidence before relying on a production reference.

How regional delivery is confirmed

Australia

Confirm the delivery location, team and operating boundary for each Australian engagement.

Asia-Pacific

Confirm the delivery location, team and operating boundary for each Asia-Pacific engagement.

Europe

Confirm the delivery location, team and operating boundary for each European engagement.

North America

Confirm the delivery location, team and operating boundary for each North American engagement.

Partner channel

Built to help consulting firms and software vendors deliver AI-native services in their own brand

Customer environments

Designed for deployments where the customer keeps control of data, systems, and operations

Careers

We are always interested in thoughtful builders, operators and domain experts who care about useful AI in regulated environments.

We are not listing open roles on this page yet. If you are interested in future opportunities, contact the team and tell us where you think you can help.

Email the team

Ready to move from AI demo to production?

Start with one workflow. We can help you decide what to redesign, what to govern, what to build, and how to prove adoption.

Book a consultation