PUBLISHED DATE: 2025-08-12 20:45:18
Publicis Sapient
Your AI and ML Checklist: How Barclays Can Prepare for a New Era of Innovation
As one of the leading players in the UK banking sector, you’re no stranger to the transformative potential of AI and machine learning (ML). You understand the challenges and opportunities that lie ahead for both incumbents and challengers, and you have the capabilities to do amazing things with the latest technology.
But no matter how prepared you are, AI represents a paradigm shift in the way banks operate. Preparation is critical. That’s why we’ve created a four-step plan to accelerate your AI adoption at Barclays.
Your Four-Step AI Action Plan
- Control costs, minimize risk, and increase revenue across customer, colleague, and functional areas.
- Adopt embedded, core, or development lifecycle services depending on your experience.
- Place the change based on your level of maturity.
- Consider a whole-business view of values and functions—including trust, technology, data, and talent—to ensure success.
AI and ML Business Approaches
- AI and ML Value Pools
- AI and ML Playbook
- Your Strategy
- Considerations
INFO BOX:
72% of UK financial services firms are using or developing an ML application.
Your Checklist
Step 1: AI and ML Value Pools
Once you have identified the right solution, the next step is to decide where to deploy it. Here are a few of the services with the biggest impact on controlling costs, minimizing risk, and increasing revenue. Check out our full guide for the services, benefits, and desired outcomes of each consumer type.
Which Solution Do You Need?
- Embedded AI
- Core AI Services
- AI and ML Development Lifecycle Services
Where to Deploy?
- Customer
- Colleague
- Function
Step 2: AI and ML Business Approaches
From customization to costs and latency requirements, there can be no one-size-fits-all approach in AI. To help you narrow down your needs and expectations, here are three levels of products and services to consider.
Which Are You?
- New Starter
- Advanced User
Step 3: AI and ML Playbook
The race to adopt these game-changing technologies may lead to over-ambitious programs emerging prematurely, with ineffective or undesirable outcomes and impacts. Large organizations like Barclays need to pace the program correctly to avoid failures.
Pay Attention To:
- Business Impact
- Trust
- Tech and Data
- People and Talent
- Ethics
Step 4: Considerations
Financial services firms are grappling with ever-increasing regulations, and we can expect the application of AI to be carefully initiated, implemented, and monitored. But there are other areas that require careful attention.
Download Your Complete Guide to AI and ML
Discover how Barclays can leverage the full power of AI and ML.
Contact Us to Get Started
Talk about your transformation with one of our experts.