92% of companies are planning to increase investment in AI over the next three years, but just 1% of leaders call their companies mature on the deployment spectrum, meaning that AI is fully integrated into workflows and drives substantial business outcomes.¹

Real world Azure AI success stories

In the UK, 75% of businesses using AI report improved workforce productivity. Over half of these businesses have developed new or improved processes or operations. AI adoption varies by size and sector, with large and mid-sized businesses more likely to be using it, as well as those in the information and communication, finance, real estate, business services or administration sectors.²

Watch now: Discover how organisations across financial services, insurance, and Saas solutions are transforming with Azure AI. From automated invoice processing to compliance-ready chatbots, Spanish Point is helping customers deliver real, measurable impact. Featuring:

• Athora – Strengthening corporate policy implementation and building a positive reputation with financial regulators across their markets using an Azure AI-powered agent
• Kefron – Reducing manual intervention in invoice processing by 70–90% and increasing NPS by +25% on average, with a new AI-powered, cloud-native software solution for over 1000 international customers across highly regulated sectors

From AI adoption to AI transformation

To reach AI maturity, organisations progress through a series of maturity levels. This includes integration of AI tools, governance, and workflows. Microsoft’s AI maturity model highlights that AI adoption is a transformation curve rather than a binary switch.

Typical stages include:

Level 1: Awareness and skepticism

Organisations begin discussing AI strategically, but adoption remains limited and informal.

Level 2: Utility adoption

Individual teams experiment with AI tools and use them in repeatable ways.

Level 3: Workflow integration

Organisations establish preferred tools, governance policies, and training to guide AI adoption in daily tasks.

Level 4: Delegation with oversight

Workflows evolve to incorporate AI collaboration, with agent-based systems appearing in production environments for scoped complex tasks.

Level 5: Strategic orchestration

AI begins influencing planning, product design, and delivery processes across teams.

Level 6: Transformational use

AI becomes embedded in organisational culture, operating models, and innovation strategy. 
 

Assess your organisation's AI maturity

By understanding where an organisation sits within the Microsoft AI maturity model, business leaders can identify the next steps required to transform effectively with AI technology. Get started today by identifying your organisation’s current AI maturity level. Click here to take the Microsoft AI maturity assessment.

Organisations that complete the assessment may be eligible for up to €500,000 in Microsoft funding for 20-day rapid prototype delivery through the Microsoft AI Transformation Programme.

Additional resources

1. AI in the workplace: A report for 2025 (mckinsey.com)
2. AI Adoption Research (gov.uk)

Definitive goals, a sound strategy and clear business KPIs are essential for successful implementation of AI technology and generation of ROI. Spanish Point provides data and AI solutions to ensure customers successfully drive adoption and scalability of AI in their organisation. Secure, scalable and cost-efficient cloud foundations are essential for enterprise-grade software delivery using Azure AI.

Learn more about Spanish Point's data and AI solutions, Microsoft Copilot and Microsoft Azure.