Business Challenge
Financial institutions are under increasing pressure to accelerate growth, strengthen client engagement, and modernize operations while navigating a volatile economic landscape and strict regulatory requirements. Despite continued investment in digital initiatives, several structural challenges continue to limit scalability and profitability:
· Advisor capacity constraints: Advisors primarily engage the top ~20% of clients in their book due to manual tasks and inability to leverage all the data with the finite amount of time they have.
· Stagnant workforce: The number of licensed advisors has remained flat for years, forcing firms to compete for the same limited pool of talent rather than achieving true net growth.
· Low investment penetration: Only about five percent of banking clients use investment products where they bank, and most maintain a single product relationship, limiting cross-sell and retention opportunities.
· Intensifying deposit competition: Banks, credit unions, and fintechs are aggressively competing on rates, incentives, and digital experiences to capture scarce deposits.
· Manual and siloed lending processes: Lending workflows and credit risk detection remain heavily manual, slowing decisions, increasing costs, and constraining growth.
To overcome these barriers, institutions must move beyond traditional digitization and embrace a new phase of intelligent digital transformation. Future growth will depend on the ability to apply artificial intelligence and automation across the enterprise, turning data into actionable insight, streamlining operations, and enhancing decision quality. This evolution empowers every business line, from wealth and deposits to lending, to operate with greater precision, scalability, and speed, enabling personalized experiences and sustainable growth at scale.
IBM’s Importance
Cognerium’s Agentic AI ERP platform is powered by IBM Cloud, providing:
· Secure, Compliant Infrastructure: SOC2 Type II compliance, enterprise-grade privacy, and data protection - critical for regulated financial environments.
· Scalable AI Operations: Hosting 64 cross-trained AI models and MAGI (Multi-Agent General Intelligence) to process large datasets in real time.
· Integration Ecosystem: Seamless connection to CRM systems, financial planning tools, robo-advisors, BI platforms, and data warehouses.
· Trusted Financial Partner: IBM’s reputation in banking technology accelerates adoption and ensures reliability.
IBM delivers the technology backbone for Cognerium’s AI solutions, ensuring high performance, security, and scalability.
Solution with Cognerium
Cognerium deployed its Agentic AI ERP platform across three modules:
· WealthGrowth.AI: Automates 90% of advisor and marketing tasks, engages all clients like a top-performing advisor, boosts AUM by up to 40%.
· DepositGrowth.AI: Fully automates deposit prospecting and conversion, increasing deposit growth without adding staff.
· LendingGrowth.AI: Automates cross-sell campaigns, predicts credit risk, and reduces defaults.
AI is reaching every corner of our lives, and it particularly lends its features to enhancing the financial services industry. Cognerium’s ERP suite of revenue generating tools will lead that evolution to forever change how financial services is delivered.
Results
· Advisor Capacity: Managed 5–10x more clients without extra headcount.
· Investment Penetration: Increased from 5% to up to 30%.
· Deposit Growth: Achieved up to 20% growth (e.g., $50M → $60M) with 30% conversion rates.
· Automation: Up to 90% of workflows automated across marketing, lending, and advisor activities.
· Product Usage: Client product utilization increased 3–4x.
Conclusion
By combining Cognerium’s Agentic AI innovation with IBM’s secure, scalable cloud infrastructure, the financial institution transformed client engagement, unlocked new revenue streams, and reduced operational costs - achieving rapid, measurable growth.