AI Adoption stories
Mid-sized firms face a policy blind spot that could slow AI adoption, despite contributing GBP £2.7 trillion in turnover in 2025.
The inaugural prizes highlight a wider shift as large enterprises tighten oversight of code, AI models and other assets moving through development pipelines.
A large gap between AI use and oversight among smaller firms is creating demand for governed, partner-managed tools, Pax8 says.
Businesses moving beyond AI pilots will get help from Oracle's new service, which aims to speed deployment and tighten control across enterprise systems.
Many firms are letting skill gaps hit delivery, with managers saying work is often handed to staff who cannot do it and AI adding oversight burdens.
Finance chiefs can now trace AI bills more accurately as the platform separates sanctioned use from Shadow AI across departments and users.
Many ANZ firms lack the data governance and integration needed to prove AI is lifting productivity, costs or customer experience.
The hire underscores NiCE's push to expand internal AI use and modernise core systems as it scales operations and quote-to-cash processes.
Three in five large US firms say AI tool sprawl has stalled strategy, as 85% of executives report disconnected technology stacks.
The move lets regulated organisations run AI-driven threat detection inside customer-controlled environments, keeping sensitive security data local.
Financial services firms are losing 40% of AI budgets to complexity as rushed in-house builds strain teams and delay customer gains.
The tie-up could speed AI adoption among government and regulated firms by letting them keep search tools inside infrastructure they control.
The designation gives clients a public way to assess the firm's Claude deployments, certified staff and customer references before committing to a project.
Businesses were urged to fix data, processes and governance first, as AI in ERP was shown to depend on stronger operational basics.
The platform aims to help employers measure whether AI training changes day-to-day work, as firms seek clearer returns on spending.
That shortfall is already hitting projects, with 37% of firms pausing, scaling back or abandoning AI initiatives because of poor data quality or availability.
Poor data practices are costing the UK economy £53.37 billion a year, as workers spend 28 days annually on inefficient tasks.
Uncertainty over returns, not upfront cost, is now the main brake on AI uptake as the share of non-users falls to 36%.
Most organisations lack clear AI oversight, leaving CIOs responsible for failures, compliance risks and workforce disruption as adoption races ahead.
Many UK employers risk poor returns from AI because staff are being given tools faster than they are trained to use them.
