Atturra joins AI business platform startup monō ai as founding partner

Australian consulting firm Atturra has joined monō ai as a founding partner. The AI business platform, launched by Lendi Group co-founder David Hyman, helps enterprises move AI projects from pilot stage into production.

The partnership announced this week pairs Atturra’s consulting practice across government, financial services, and resources with monō ai’s platform. Hyman built the startup after leading AI transformation at Lendi Group, which manages a $105 billion loan book with a 2,500-person workforce. He found that most enterprises faced the same barrier: they had tested AI tools but could not convert those experiments into operational change.

“The gap between experimenting with AI and actually deploying it at scale is one of the biggest unresolved problems in business today,” Hyman told IT Brief Australia at launch.

The numbers support Hyman’s view. About 88 percent of organizations use AI in some form, but only one-third have moved beyond pilot programs. An estimated 95 percent of enterprise AI pilots fail to produce measurable business impact.

monō ai launched with client deployments across seven sectors: legal, financial services, fintech, creative and strategy, hospitality tech, deep-tech investment, and multi-brand consumer. The platform positions itself as the infrastructure layer between AI experimentation and operational reality.

Why Atturra placed the bet

Atturra chief executive Stephen Kowal framed the deal as part of the firm’s “sovereign AI-first direction.”

“Our relationship with monō ai is an important, strategic step for us and aligns with our broader sovereign AI-first direction,” Kowal said.

Kowal added: “AI doesn’t make broken workflows faster — it makes the case for redesigning them. That’s where Atturra and monō ai come in.”

“Sovereign AI-first” is a deliberate phrase. Atturra has built its data and AI practice around keeping sensitive workloads within Australian jurisdiction — a priority for federal and state government clients that make up a significant portion of its revenue. The monō ai partnership provides that practice with a platform to sell, rather than custom consulting engagements built client-by-client.

The pilot-to-production gap

The 95 percent pilot-failure rate Hyman cites has become a recurring statistic in Australian enterprise AI discussions. The causes are documented: governance frameworks that lag behind model deployment, data environments too fragmented for production AI pipelines, and the lack of integration between model APIs and the workflows they’re meant to change.

What monō ai is betting — and what Atturra is now betting on — is that another AI tool is not the solution. The platform connects existing enterprise data, people, and the AI models organizations already use, while making the case for workflow redesign rather than model access alone. It’s a harder sell. It’s also more durable.

That thesis is not unique to monō ai. Several platform offerings have emerged in the past 18 months targeting the same gap, from hyperscaler-native tools to vertical SaaS vendors adding AI layers to existing products. Hyman argues that a platform built by someone who has led enterprise-scale AI transformation inside a regulated, data-heavy business — Lendi Group processes mortgage applications nationally — carries different credibility with the buyers Atturra serves.

What happens next

The founding-partner model gives Atturra early access to monō ai’s platform roadmap and input as the startup builds enterprise-grade tools. For monō ai, Atturra brings existing large-scale clients, including federal and state government agencies, that already face the pilot-to-production gap the startup was built to address.

Daniel Folb, monō ai’s vice president of clients and a former Deloitte executive, will likely lead delivery for the partnership. His background in large-scale consulting implementation matches the Atturra playbook: advisory-heavy, sector-deep, and focused on systems integration rather than tool licensing.

Neither side has disclosed financial terms of the founding-partner agreement. The structure — equity, revenue share, or a traditional services retainer — will show how deeply the two firms intend to integrate their go-to-market. For Australian enterprises, the partnership offers a test case: whether a consulting firm and a platform startup can together deliver the production AI outcomes that neither has achieved alone.

Atturra’s early endorsement suggests the thesis is resonating with at least one major Australian consulting firm. Whether the enterprises those consultants serve are ready to move beyond pilots and redesign workflows is the question the next year will answer.