Transforming Financial Services Operations with AI

The Challenge of Mid-Office Optimization

Quite a few years ago, I explored mid-office optimization with an investment bank. We even brought in Porsche for their Lean excellence perspective. This project was just one of many where I helped teams identify and automate processes. Automating the flow from trade execution to settlement is not a new concept. Financial institutions have been digitalizing operations for decades.

AI may accelerate some capabilities, particularly in handling unstructured data. It can also help resolve breaks, exceptions, and reconciliation issues. However, it is not a magic wand. If banks build AI on top of fragmented processes, poor data, duplicated controls, and years of operational workarounds, they are simply layering on top of very shaky foundations. The results are likely to be random, which is not what you want in regulated businesses.

The Importance of Cutting Waste

Cut your waste before you have to cut your costs.

Before removing the people who understand where the problems actually are, critical work must be done. This includes simplifying processes, reducing variation and variability, rationalizing exceptions, improving data quality, and eliminating operational waste. It is easy and dangerous to place AI on top of such broken fundamentals. AI will make mistakes, and those mistakes can be costly in Financial Services.

For the last couple of decades of global outsourcing, banks have chosen to ride the waste. They have relied on cheaper labor to handle it rather than eliminating it. The culture of Kaizen and Continuous Improvement is often drastically lacking in these institutions. Technical foundations still rely heavily on people's best judgment and informal communication networks. If you doubt that, just look at how much still runs on spreadsheets!

If you think that you have a User-Created-Application headache with spreadsheets, you are heading for severe corporate migraine by encouraging the adoption of AI.

The Path to Success with AI

The institutions that will succeed with AI will not be the ones cutting costs the fastest. Instead, they will be the ones combining AI with continuous improvement, operational discipline, and teams empowered to enhance the system itself. This approach embodies Jidoka, which translates to autonomation or automation with a human touch, applied to services and tech businesses.

AI is not the magic wand for fixing decades of legacy, but it might be the opportunity to finally address it.

AI will not fix broken banking operations overnight. Banks that start by offloading the people who understand the operational realities may learn this lesson at their peril. Financial Services has pursued digitalization for decades, yet many institutions remain far from achieving clean data and true Straight-Through Processing (STP). Rather than hoping AI will perform miracles on weak foundations, organizations should challenge the fundamentals. They need to simplify processes, improve data quality, eliminate waste, and combine AI with continuous improvement and operational discipline.

The Uncomfortable Reality of Operational Excellence

The uncomfortable reality is that operational excellence has rarely been the favorite child of Financial Services organizations. For years, many institutions chose to ride the waste through outsourcing to cheaper locations rather than eliminating it at the source. In Lean terms, this is fundamentally the wrong optimization. You should not optimize waste; you should remove it.

Perhaps AI finally creates the forcing function to revisit those neglected foundations: data quality, process discipline, technology architecture, continuous improvement capability, and the leadership behaviors required to sustain them. Building robust AI-enabled operations is far more complex than simply buying tokens from OpenAI or Anthropic. It requires creating operational systems capable of learning, adapting, and improving continuously.

Conclusion: A Call to Action

If this challenge resonates with you, and you are looking to develop the foundations of continuous improvement and waste elimination as part of your AI transformation, get in touch. Together, we can navigate the complexities of this journey and ensure that your organization is well-prepared for the future.

Note: This blog post was in reaction to another Investment Bank announcing mass layoffs due to AI. Please see the article at: https://www.finextra.com/newsarticle/47776/standard-chartered-to-cut-7800-jobs-as-ai-takes-over-the-back-office