The digital revolution in banking is particularly profound in the Middle East.
With a youthful, digital-native population, the region’s residents are accustomed to convenience and choice from an early age. Coupled with widespread mobile access, it hasn’t taken long for customers to grow comfortable with onboarding in minutes.
Today, it’s fairly common for an individual to hold accounts with up to six different banks.
On the surface, this looks like a win-win: customers enjoy freedom and flexibility; banks gain broader reach.
Satisfaction is Skin Deep
What looks like flexibility actually reveals shallow, fragmented banking relationships.
What’s happening:
- Customers choose banks based on the best product of the moment
- Credit card from one provider, dining card from another, mortgage from a third
- Loyalty is minimal; switching is easy and common
- Engagement is transactional rather than relational
The root cause:
Banks invested heavily in onboarding and activation, but neglected service, upsell, and retention.
The Innovation Gap: A Slick Start, a Weak Finish
Most banks deliver a world-class early journey, but the experience deteriorates immediately after.
Where banks excel today:
- Fast, seamless digital onboarding
- Frictionless identity verification and account setup
Where they fall short:
- Reactive, product-centric service
- Manual and unscalable upsell via human RMs
- Limited personalisation beyond the first interaction
The result: technology that impresses upfront but fades in value thereafter.
The Impending Era of Customer Contraction
This is where AI changes the game, and why its application to the latter stages of the journey has never been more urgent.
AI introduces a formidable market force capable of flattening the banking bell curve: the graph that maps the number of different providers a customer engages with over time.
Digitalisation caused that curve to swell as customers spread their banking relationships across multiple institutions.
However, the next phase of AI-driven personalisation will cause it to contract, dramatically.
This signals a massive shift in competitive dynamics.
Where Should We Deploy AI First?
This has forced banks to confront the critical question: where should we deploy AI first?
Back-end AI (valuable but invisible):
There’s a temptation to start at the back end such as in fraud detection, risk management, or operational efficiency. These are valuable use cases, but the results take time to materialise. If you put AI in the back office, you might improve processes.
Yet your customers won’t feel the transformation.
Front-end AI (transformational and visible):
Put AI at the front end, however, and the impact becomes visible. From onboarding to credit underwriting to customer service, AI can completely rewire how relationships begin, evolve, and strengthen over time.
Imagine onboarding that feels conversational and adaptive, powered by AI that verifies documents, anticipates the customer’s next step, and approves applications in seconds.
Or even credit decisions made by models that continuously learn from behavioural and contextual data. Or customer service led by intelligent agents that understand history, sentiment, and intent, resolving issues before frustration builds.
A Paradigm Shift: From Transactions to Lifecycle Orchestration
The application of AI in this way paves the way for the profound paradigm shift from singular use cases to customer lifecycle orchestration.
As we move from transactions to orchestration, engagement models can mature, evolving from reactive service to predictive, proactive interaction. For instance, AI models can autonomously adjust a customer’s credit limit in real time based on spending behaviour, offer tailored investment opportunities timed to salary deposits, or recommend relevant financial products based on predicted life stages.
The experience becomes effortless, intuitive, and deeply personal.
Agentic AI: The New Standard for Customer Interaction
Agentic AI-powered chatbots take this a step further.
These are not static, script-based bots. They interpret context, offer tailored advice, and execute transactions independently. They turn reactive service into proactive engagement.
In the Middle East, several banks are already piloting these systems, aiming to personalise at scale, sending mortgage offers only to customers whose savings behaviour signals readiness, or recommending investment products aligned to salary cycles.
The Collapse of the Multi-Bank Era
What happens when a bank stops selling products and starts curating journeys? Customers consolidate. One provider becomes the trusted partner for an ever-expanding share of a customer’s financial life. The bell curve flattens.
The race is already on. The next decade won’t be about who can onboard the fastest, but who can retain the longest. Banks that master retention through AI, anticipating needs, deepening engagement, and personalising every moment, will own the customer relationship. Others will fade quietly into the background.
AI-powered Customer Lifecycle Orchestration is not a forecast but a reality, and as banking’s bell curve collapses, it is what will determine who stays at the top.
NOTE: The Author of this Article is Ahmad Ghandour, Regional Vice President at Backbase in the Middle East. The Analysis Does Not Reflect the Editorial Board of Finance ME.
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