What are the challenges in managing complex banking application landscapes?
Banks operate hundreds, if not thousands, of applications across core banking, payments, lending, digital channels, risk, compliance and support functions. Many of these applications are legacy-heavy and often overlap with one another, leading to the bank’s ecosystem to become fragmented, redundant and expensive to maintain.
Applications are further complicated through regulatory changes, product expansions, M&As and legacy technology limitations. Each area, or the combination of several, can lead to slower innovation, rising maintenance and infrastructure costs, technical debt and overlapping applications’ accompanied by limited visibility.
Modern banks need a smarter, faster, and governed approach to simplify their technology ecosystem. That’s where Applied AI makes the difference.
Maveric ModernizeAI
Maveric’s AI-driven Application Rationalization & Modernization solution follows an intelligent end-to-end methodology designed to discover, optimize, and modernize complex banking technology landscapes.
By combining Maveric’s deep banking domain expertise since 2000 with AI, the solution aids banks in preparing their budget-heavy and legacy application ecosystems for an AI-first banking world.
AI-led Discovery
Automatically classifies applications, predicts interdependencies, and analyses utilization patterns to define a data-driven target state architecture.
Smart Rationalization
AI-powered simulators recommend retire, retain, rehost, refactor paths using the industry-recognized 7R framework, ensuring outcome-driven decisions.
Automated Refactoring
AI-assisted code migration and validation accelerate modernization while reducing manual errors and risk.
Continuous Optimization
Predictive analytics monitor portfolio health and sustainability.
Business Benefits.
25%–30%
Portfolio reduction through AI-driven rationalization insights
40%–50%
Faster modernization and decision cycles
60%-70%
Reduction in technical debt & maintenance overheads
Enterprise Scalability
Enhanced compliance and resilience through automated validation
Engineering Trust in AI-First Banking
As banks accelerate the shift from digital-first to AI-first operating models, trust becomes critical to scaling AI with governance, security, explainability, and accountability at the core. These foundational strengths enable Maveric to engineer trust into every layer of banking transformation.
AI at the Core,
Not the Edges
Embedding AI into core banking systems, operations, and decision layers to enable enterprise-wide transformation with governance, observability, and accountability built in.
Principles that
Engineer Trust
A standards-led engineering approach that embeds explainability, reliability, privacy, security, and compliance into every AI-led system by design.
Pragmatic, Outcome-Driven Execution
Focused on delivering measurable business outcomes across customer experience, modernization, operational efficiency, fraud reduction, and regulatory resilience.
Deep Banking
DNA
Over 25 years of exclusive banking and financial services expertise, enabling AI-led transformation aligned to real-world banking operations, regulations, and customer expectations.
