Most organizations are not struggling to start AI projects. They are struggling to finish them.
McKinsey's March 2025 State of AI report found that 65% of organizations now use generative AI in at least one business function — but only 39% report any measurable impact on EBIT.
Other researchers put the gap even wider. MIT researchers found that the vast majority of enterprise AI pilots fail to deliver measurable ROI within the first six months — with the Fortune coverage noting the number could be as high as 95%.
The adoption curve is real. The value curve has not followed.
The Problem Is Not the Model. It Is Everything Around It.
Enterprise AI breaks down in three predictable places:
- Integration — AI gets deployed alongside existing systems, not inside them. It works in isolation — and the workflows it was supposed to improve never change.
- Governance — Compliance, data residency, and security requirements get added after the fact. Deployment slows. Projects stall.
- Accountability — Nobody owns what happens after the pilot. There is no clear path from proof of concept to production. The project dies in the gap.
These are delivery gaps — not technology gaps. And they are where most AI investments quietly stop.
Why Mobiz Partnered with Anthropic — and Chose Claude
Mobiz has been building and operating enterprise systems long enough to recognize these failure patterns.
“When we evaluated where to place our AI partnership, the decision came down to one question: which model is built for the environment our clients actually operate in?”
The answer was Claude.
As a member of the Claude Partner Network, Mobiz has direct access to Claude's latest models and capabilities, dedicated technical support from Anthropic's engineering team, and early access to new developments. This is not a reseller arrangement. It is a delivery partnership — built so that our clients get frontier AI integrated into their enterprise systems, not bolted on after the fact.
Three capabilities made Claude the right choice for enterprise:
- Long context. Real enterprise work is complex — long documents, multi-step processes, large codebases. Claude handles that complexity at a scale that makes it genuinely useful in production, not just controlled demos.
- Instruction precision. Where outputs feed directly into downstream systems or client-facing processes, reliability is not optional. Claude follows complex, multi-part instructions consistently.
- Safety architecture. Anthropic's approach to safety is structural — built in from the ground up. For clients in regulated industries, this is the difference between a model they can deploy and one they cannot.
What Mobiz Brings to the Deployment
Access to Claude is one part of the equation. The other is what Mobiz brings to it.
Mobiz holds Triple ISO certification across information security (ISO/IEC 27001:2022), IT service management (ISO/IEC 20000-1:2018), and business continuity (ISO 22301:2019), alongside 8 Microsoft Azure specializations.
These are the operating standards against which Mobiz designs, delivers, and supports enterprise technology — across cloud and infrastructure modernisation, cybersecurity, data and AI platforms, and managed services.
A frontier AI model without enterprise architecture is still a pilot. Enterprise architecture without a capable model is infrastructure waiting for a purpose.
The Mobiz and Claude partnership closes that gap.
What This Means for Your Organization
If your organization has a pilot that has not yet reached production, the issue is likely not the model. It is the system around it — the integration, the governance, the ownership after go-live.
That is exactly what Mobiz and Claude are built to solve together — across financial services, healthcare, manufacturing, energy, retail, and government.
See how Mobiz delivers in practice in our case studies.
We are committed to continuously evolving — making sure our clients always have access to what is ahead, not just what is available today. Joining the Claude Partner Network is part of that commitment.