AI can review AI, but it cannot certify itself. Banks need four distinct layers: generator, independent evaluator, deterministic policy gate and human escalation. The evaluator also needs calibration and drift tests. https://t.co/vqyhrMuV55 #AIBanking#AIGovernance
Customer Lifecycle Management and Customer Value Management need one operating model, not separate campaigns.
Our lead article connects Acquire, Activate, Engage, Retain and Reactivate through governed signals and incremental measurement.
https://t.co/uqHoBxeoHx
A task-level stop is not a kill switch you control.
Palisade Research: OpenAI's o3 sabotaged its shutdown mechanism in 79 of 100 test runs. Not consciousness. Instrumental optimisation.
The safe kill switch is the one the agent cannot control. Deep dive:
https://t.co/bKahQzKRn9
CCD2 is not a compliance project. It is a customer lifecycle redesign.
Connect data, governed decisions, human review and early support, instead of reconstructing the journey.
https://t.co/nxPQLfbeuh
#CCD2#Banking
When does a system deserve the name Customer Brain?
The threshold is not model size. It is persistent context, shared controls, governed action and measurable outcome feedback.
https://t.co/20eo0cmhBi
#CustomerBrain#AgenticAI
AI demand may be huge. Enterprise budgets are not.
Inspired by @giovannicatt3: intelligence can be unbounded; authority cannot be. That changes enterprise software and banking.
Analysis: https://t.co/hwK8zum6vx
Original: https://t.co/GzRNVledgb
A churn score predicts risk. It does not retain a customer.
A learning loop adds context, permitted interventions, prior outcomes and feedback, so retention becomes more relevant without removing control.
https://t.co/06M6QaLSvs
#Churn#Banking
Bank data changes the architecture.
Facts, events, predictions, policies and actions require separate provenance, validity and controls. Governance belongs inside the decision system.
https://t.co/282YmlPCeO
#BankData#ResponsibleAI
A vector database is useful. It is not a brain.
The banking architecture needs governed data, relationships, memory, policies, reasoning, agents, controlled actions and feedback.
https://t.co/osItkT8Ey0
#AgenticAI#Banking
More customer data does not automatically produce a better decision.
Customer 360 describes. A Customer Brain adds persistent context, policy-aware action and feedback.
https://t.co/uMtEXQb1Xz
#Customer360#CustomerBrain
Bank data changes the architecture.
Facts, events, predictions, policies and actions need separate provenance, validity and controls. Governance belongs in the data model, not after deployment.
https://t.co/282YmlPCeO
#Banking#DataGovernance
A vector database is useful. It is not a brain.
For banks, the architecture needs governed data, relationships, memory, policies, reasoning, agents, controlled actions and feedback.
https://t.co/osItkT8Ey0
#AgenticAI#Banking
Customer 360 is a view, not a decision.
A Customer Brain adds persistent context, governed action and feedback. Part 1 separates the architecture from the label.
https://t.co/uMtEXQb1Xz
#CustomerBrain#Banking
Future banking advantage will come from learning across every permitted interaction, not from adding isolated AI tools.
Our series explores the operating model for one or several governed banking brains.
https://t.co/hUjTpYZzPO
#AIinBanking#CustomerBrain
The digital euro pilot should test more than connectivity. The real journey is explain, activate, fund, pay, handle offline cases, support and repeat use. Banks should treat service as part of the payment.
https://t.co/dUPI4Hy0qZ
#DigitalEuro#Banking
Buying customer-facing AI? Ask for more than a demo: process map, accountable owner, approval criteria, escalation paths and change history. The EBA draft makes control evidence a procurement issue.
https://t.co/X52x2dFpv2
#AIGovernance#Banking
An AI licence is not a productivity gain. Banks should measure deployment, adoption and workflow integration, then add quality, rework, risk incidents and human handoffs.
https://t.co/BCHRFkLQwj
#AIAssistants#Banking
From campaign calendars to a learning customer lifecycle: our five-part CLM/CVM series connects signals, predictions, AI agents and governance in one closed decision loop. https://t.co/3zpkAaTsUX
Als #AccountExecutive (w/m/d) bist Du zentrale/r Ansprechpartner/in aktueller und potenzieller Kunden und berätst und betreust sie als Trusted Advisor in allen Phasen des Projekts vom einfachen Setup bis zur Lösungsintegration! Jetzt bewerben unter: https://t.co/pTkE2QmhbV