Assess Your Bank’s Readiness for Scalable AI
AI ambition in banking is rising fast—but legacy cores, fragmented data, manual compliance processes, and inconsistent engineering models continue to limit execution at scale.
Sutherland’s BFS Northstar Technology Assessment helps banks evaluate how ready their architecture, data, delivery model, and risk infrastructure are for scalable AI, faster modernization, and more resilient digital operations.
This guided assessment gives you a clear view of your current maturity across the domains that matter most in banking—from core platforms and onboarding journeys to compliance automation, engineering practices, and cloud modernization.
Use this assessment to:
- Benchmark your current maturity across key banking transformation domains
- Identify constraints slowing AI scale, product delivery, and modernization
- Understand where your organization sits on the maturity curve—from Legacy-Bound to Autonomous & Adaptive
- Receive practical next steps aligned to your stage of maturity
Assessment Domains
- Core Banking & Platform Architecture
Evaluate how modular, integrated, and product-ready your banking platform is across core systems, product change agility, and front-to-back-office connectivity. - Data & AI Readiness
Assess the maturity of your data architecture, AI/ML adoption, governance, privacy controls, and regulatory data readiness. - Customer & Channel Engineering
Measure how digitally native your onboarding, origination, and omnichannel experience capabilities are across assisted and digital channels. - Risk, Compliance & Trust Infrastructure
Understand how mature your compliance automation, fraud/AML/sanctions detection, and operational resilience capabilities are. - Engineering & Delivery Model
Review the maturity of your software engineering, modernization discipline, CI/CD, platform engineering, and developer experience. - Cloud & Infrastructure Modernization
Determine where your organization stands on cloud adoption, zero-trust security, infrastructure automation, and cloud operating model maturity.