Insights
Blog & Insights
Analyses and guides on AI, data, security and regulation in the financial sector – and what they mean for marketing, sales and customer service.
AI & Banking
Agentic Experience Platform for Banks: Why the Loop Matters, Not the Tool
Treasure AI, golden context, 15 CDP use cases: why in banks the time from signal to checked action matters, not the tool. Opening article of the series.
CLM & CVM
Customer Lifecycle Management and Customer Value Management: The Operating Model for Agents
Part 1/5: CLM supplies the rows, CVM the objective. Why agents without an operating model optimise for clicks, and what belongs in each cell of the matrix.
Data & Technology
Customer Data Platform with a Context Layer: From Golden Record to Golden Context
Part 2/5: Three contexts, five functions, four kinds of memory. What turns a data field into a context object, and what the agent should not see.
AI & Banking
AI and the Decision Engine: Predictions in the Middle of the Loop, Not at the End
Part 3/5: Predictions are inputs, not results. What a decision record contains, which four decision types exist, and what the language model should not do.
CLM & CVM
Personalisation as the Activation Layer: One Decision, Four Surfaces, One Way Back
Part 4/5: Personalisation is the execution of a checked decision, the same everywhere. Why contact budget and channel suppression are part of it.
AI & Banking
The Orchestration Layer: Domain Agents with a Bounded Mandate, Humans with Direction
Part 5/5: Three domain agents, an autonomy matrix, six jobs of orchestration and two runtimes. Why the bounded mandate is the basic unit.
AI & Banking
Efficiency or Trust: Where Europe's Banks Point Their AI Investment
Visa study: 48% of banks invest in AI for efficiency, 30% for customers; Germany's cost focus is 77%. Why Lagarde's warning about sameness fits in.
CLM & CVM
The First Job for the Bank's Assistant: Tell Me When There's Something Better
TD survey: 69% would hand the bank's assistant a task, 38% want alerts to better products. What that means for customer dialogue and lifecycle decisions.
Automation
Propose, Check, Release: What the Payment Agents of Sibos 2026 Teach About Customer Dialogue
Five large banks showed production AI agents at Sibos 2026: the model proposes, rules check, a person releases. The same pattern for customer dialogue.
AI & Banking
When the Agent Does the Shopping: Six Banks, Five Principles and Amazon's Closed Door
Six banks publish principles for agentic commerce as Amazon blocks third-party shopping agents. What liability, identity and mandates mean for banks.
CLM & CVM
Many Acronyms, One Goal: How CLM, CVM, CLV and Customer Data Fit Together in the Age of AI Agents
Banks hire CVM managers, suites promise personalisation, what they mean is often cross-sell. Why sequence matters once agents make the decisions.
AI & Banking
The $100 Million Bar: How Large Banks Now Prioritise AI Use Cases
HSBC prioritises only AI use cases above $100 million. BNP Paribas, Société Générale and Deutsche Bank set their own rules. Three decisions that matter.
Found a topic that's on your mind right now?
Then let's talk about how it could work for you – in a demo with concrete examples from the ACCELERAID platform.
