Banks have spent the last two years experimenting with AI. The next challenge is far harder: turning it from an impressive novelty into a reliable part of everyday operations. Burley Kawasaki, Senior Vice President at Creatio, argues that a unified, AI-native CRM platform is the missing foundation banks need to move from scattered pilots to enterprise-wide adoption.
The Real Challenge: Operationalising AI
While the value of AI is no longer in question, many financial institutions are still working out how to deploy it consistently across customer interactions, compliance processes, relationship management and back-office operations without adding complexity or risk.
Creatio's State of AI Agents and No-Code for Financial Services report identifies fragmented systems, siloed data, and regulatory, security and legal concerns as the key obstacles preventing organisations from realising the full value of their AI investments.
The question banks need to answer is no longer whether to adopt AI, but how to operationalise it across the entire organisation, connecting customer data, workflows, employees and AI capabilities within a single environment.
From Data Management to Intelligent Banking Operations
For years, CRM was viewed primarily as a system of record, helping banks manage customer information and interactions. But in an environment defined by rising customer expectations, digital competition and increasing operational complexity, storing information is no longer enough.
By bringing together customer data, workflow automation, AI capabilities, governance and security, AI CRM provides the foundation for employees and AI agents to collaborate, execute work and deliver personalised experiences at scale.
What Banks Should Look For in an AI CRM
Unified customer intelligence: AI CRM platforms integrate the entire technology stack to provide a unified 360° customer view, combining and automatically updating information across departments, channels and interactions to enable more accurate segmentation and stronger relationship management.
Personalised, proactive engagement: customers now compare banking experiences with the best digital experiences they have elsewhere. AI agents can identify needs in real time, suggest next-best actions and handle routine inquiries around the clock, freeing service teams to focus on complex, high-value interactions.
Human-AI collaboration: as AI becomes more embedded in banking operations, relationship management will increasingly be supported by teams of specialised AI agents that autonomously execute routine tasks and surface opportunities, letting bankers focus on trust and decision-making.
Governance, explainability and trust: according to Creatio's Agentic Banking Blueprint, transparency, auditability, role-based controls and human oversight help ensure AI is deployed responsibly while supporting regulatory compliance and risk management.
"G&T Continental demonstrates how banks can translate AI from a technology initiative into measurable business value, embedding intelligent recommendations and guided workflows into front-office operations."— Creatio, on Banco G&T Continental's use of Bank.AI
The Future of Banking is Agentic
According to Creatio's Agentic Banking Blueprint, the future of banking operations will not be defined by automation alone, but by how effectively institutions integrate human expertise and digital execution on a unified platform.
Instead of relying on employees to manually coordinate work across disconnected systems, banks will move toward intelligent operating models where humans and AI agents collaborate seamlessly, driving greater efficiency and business growth.