NatWest

NatWest Group, one of the UK's largest retail banks serving millions of customers, faced compounding operational pressures: legacy IT infrastructure constrained software delivery cycles, frontline retail colleagues spent significant time on manual, low-value tasks such as call summarisation and case documentation, and customer satisfaction on digital journeys lagged expectations. With approximately 60,000 colleagues and over 12,000 engineers operating across a complex estate, the cost of the status quo was measured in both direct operational expenditure and slower time-to-market for new banking products — creating competitive and regulatory risk at enterprise scale.

NatWest deployed a broad enterprise AI programme pairing platform modernisation with targeted generative AI tooling. Roughly 60,000 colleagues were given access to AI productivity tools including Microsoft Copilot and internal large language models, supported by structured AI training programmes. Over 12,000 engineers received AI-assisted coding tools to accelerate software delivery. For customer-facing operations, NatWest launched Cora+, a generative AI-powered digital assistant built to handle customer journeys across payments, account queries, and fraud triage. A strategic partnership with OpenAI was announced to accelerate GenAI capabilities across both customer and colleague workflows, expanding the number of GenAI-enabled customer journeys from a small initial set into the dozens.

The programme delivered measurable outcomes across cost, productivity, and customer experience:

• £600 million in gross cost savings attributed to the combined technology simplification and AI programme, backed by approximately £1.2 billion in technology investment
• 70,000 colleague hours saved annually through automated call and case summarisation tools deployed in retail operations
• 150% improvement in customer satisfaction on Cora+ GenAI-enabled journeys, as reported in NatWest's OpenAI partnership announcement
• AI-assisted coding contributed a material share of new code across the engineering organisation

Deployment reached enterprise scale, with AI access extended across virtually the entire colleague base.

• Platform modernisation is a prerequisite for AI scale: NatWest's cost savings reflect a combination of legacy decommissioning and AI-enabled automation — neither delivers full value without the other.
• Task-level automation (call summarisation, coding assistants, digital triage) produces the most credible near-term ROI and should precede broader transformation claims.
• Customer-facing GenAI requires grounding in system-of-record data and clear escalation paths — satisfaction gains are most defensible on narrow, well-instrumented journeys.
• Bold headline metrics demand transparent attribution methodology; separating AI-specific savings from simplification and headcount changes is essential for investor and regulatory credibility.