US Banking Information
Feasibility-focused briefs on open banking data sharing, core modernization, governance, and technology transformation for US banks.
Information Briefs
An executive roadmap for validating whether platform ambition, resilience requirements, and AI-led operating models can be delivered without betting the franchise on a single migration
Core systems and modernization capability gaps that undermine strategic ambition
How executives can choose a modernization path that increases agility without concentrating operational and regulatory risk beyond the bank’s control capacity
How executives can decide whether a “big bang” cutover or incremental modernization is realistic given the bank’s current core constraints, risk appetite, and delivery capacity
A 2026 executive lens on when to modernize the core now, when to defer, and how to avoid locking strategy to legacy constraints
A sustainable cost-to-serve agenda depends on sequencing technology, operating model, and spend controls around proven execution capacity rather than one-time cutting programs
How executives can validate cost takeout ambitions and prioritize efficiency investments by treating channels as one integrated service network
How dependency and constraint discovery turns critical path visibility into a strategy validation tool for sequencing, resourcing, and operational risk control
How to shift from reactive tracking to proactive design so dependencies and constraints stop dictating delivery outcomes
How leadership teams align business and technology priorities, reduce decision risk, and validate whether transformation ambitions are realistic under regulatory and operational constraints
Identity is now a frontline customer experience capability as much as a security control, and CIAM weaknesses often reveal whether digital ambitions are operationally realistic
Where digital channel ambition outpaces the ability to observe, decide, and improve the end-to-end customer experience
How executives can validate cyber and resilience ambitions by proving essential services can withstand, recover, and adapt under escalating threat and supervisory scrutiny
How executives can pressure-test data-sharing ambition by proving consent integrity, access controls, and audit-ready transparency at ecosystem scale
Why governance weaknesses turn ambitious analytics and AI roadmaps into operational, model, and compliance risk
How executives can validate “single source of truth” ambitions by stress-testing accountability, control evidence, and decision-grade data quality
How executives can validate whether “single source of truth” ambitions are realistic by testing traceability, auditability, and control evidence across the data estate
A control-driven framework to reduce execution risk in core modernization and platform transitions
How executives can validate whether analytics, automation, and reporting ambitions are realistic by proving data quality can be measured, governed, and sustained at scale
The execution risk language leaders use to validate strategic ambition, set gating decisions, and keep modernization compatible with operational resilience