INSIGHTS
Blog & Insights
Articles, guides and reports on AI in banking, customer lifecycle management and data strategy.
All
KI & Banking
Data & Technology
CLM & CVM
Regulation & Compliance
Automation
Regulation & Compliance
The EU AI Act's Digital Omnibus: What the Delay Really Changes for Banks — and What It Doesn't
The Digital Omnibus defers the AI Act's high-risk obligations to 2027 — but Article 50 applies from August 2026. What banks need to know now.
Read
Regulation & Compliance
The ECB's 31 October Deadline: What the Supervisory Letter on AI-Enabled Cyber Threats Requires
The ECB requires banks to file action plans against AI-enabled cyberattacks by 31 October 2026. What the letter demands — and how to respond.
Read
CLM & CVM
Credit Card CLM: Why the Lifecycle Is Where Portfolio Profitability Is Won or Lost
How structured CLM improves credit card portfolio profitability — from activation to churn prevention, using AI and transaction data.
Read
CLM & CVM
Customer Lifetime Value in Banking: How to Calculate It, Model It, and Actually Use It
How banks calculate Customer Lifetime Value operationally and use it as a management tool for retention, cross-sell, and acquisition decisions.
Read
AI & Banking
Decision Governance for Banking AI: Who Decides the Next Best Action?
Who really owns AI decisions in banking? A practical framework for Decision Governance in Next Best Action, trigger automation and CDPs.
Read
AI & Banking
Personalization Control Room: How Banks Operationally Manage AI Customer Moments
A Personalization Control Room helps banks manage AI journeys, triggers, KPIs and customer signals in ongoing operations.
Read
AI & Banking
Regulatory Reporting with AI: How Banks Systematically Reduce FINREP and COREP Effort
How AI systematically reduces FINREP and COREP effort in banks — from automated data extraction to plausibility checks and variance explanation generation.
Read
Data & Technology
CDP vs. Data Warehouse: Why Banks Need Both — and How They Work Together
CDP vs. data warehouse in banking: why both are needed, how the division of labour works, and how integration between the two systems functions.
Read
AI & Banking
AI Journey QA in Banking: Catching Errors in Automated Customer Journeys Early
AI journey QA checks automated banking customer journeys for logic, content, and compliance errors before they ever reach customers.
Read
Data & Technology
Signal Hierarchy: Why Not Every Banking Customer Signal Deserves Equal Weight
A signal hierarchy ranks banking customer signals by reliability, preventing contradictory next-best-action recommendations.
Read
Data & Technology
Marketing ROI Measurement in Banking: Why Most Banks Are Using the Wrong Yardstick
ROI measurement in banking marketing: why conversion rates mislead, how incremental causality is measured, and which KPIs actually matter.
Read
CLM & CVM
Cross-Sell and Upsell in Banking: Why Existing Customer Growth Is More Profitable Than Acquisition
Cross-sell and upsell in banking: why timing beats product quality, how propensity models identify the right moments, and what results are achievable.
Read
Bring new banking AI insights directly to your team
The blog is CMS-based — new articles can be added regularly through your external publishing process.
Request demo
We use Cookies 🍪
Strictly necessary cookies (e.g. Pipedrive forms) remain active. With your consent we also use Google Analytics (analytics) and Leadfeeder (visitor identification). More in our Privacy Policy.