If your bank is upgrading to ServiceNow Zurich, stop looking at the release notes.   Most banks pay for this upgrade but fail to get the return because they sequence the wrong features. You should not be funding niche connectors right now. You need to fund the AI Control Tower, the zero copy Workflow Data Fabric, and FSO Disputes Management first. If you scale AI before setting up that control tower, your CRO will shut it down anyway.   I just dropped a full architectural breakdown of the exactly 7 features banking leaders need to fund first, plus the 90 day roadmap to get them live. Click the link to watch the full video. ... View more

Over the past eight months, a working group spanning BIAN and ServiceNow has been quietly working on a question that nobody had cleanly answered: if BIAN defines what a bank does, and CSDM describes how ServiceNow manages the systems that do it — why aren't they connected? Today we're sharing the result.   Bridging BIAN and ServiceNow CSDM: Enterprise Architecture Integration for Financial Services Institutions (v7.6) is a discussion paper that defines a unified metamodel giving financial institutions something they've never had from a single platform: bidirectional traceability from board-level strategic intent to the APIs running in production — and back again.   Although Vinod Hariharan and I led the work, the working group brought together architecture expertise from both organisations, expert Enterprise Architecture consultancy and, critically, the voice of some key FSI EA customers, stress-testing the model assumptions and contributing throughout.   The architecture is deliberately lean. Two custom objects and some pre-existing CSDM tables. The full BIAN v14.0 Service Domain taxonomy (all 328 domains, Business Areas and Business Domains) loads into these tables with relationships established. The organisation simply requires to connect its business applications and integrations to finalise the traceability.   The key insight that unlocked the whole model: BIAN's Service Domain is the Rosetta Stone. It is canonically defined, vendor-neutral, and stable across any deployment. Once it lives in CSDM as a configuration item, it becomes the synchronisation point between BIAN's strategic framework and CSDM's operational reality. Everything else follows from that single design decision.   The paper works through four concrete business outcomes: Business strategy: competitive positioning and capability gap analysis, expressed in a language that technology can act on Investment and business planning: portfolio decisions grounded in evidence, not assembled from stakeholder opinion; capability overlap assessed in weeks Regulatory compliance: obligations traced to Service Domains and implementing systems, with audit evidence generated on demand rather than manually constructed Operational impact analysis: from CVE or outage to confirmed business impact in real time, enabling AI or human workflows to act on the business context the metamodel provides We're publishing this to start a conversation, not to close one.   The paper is attached. The graphic summarises the traversal chain from strategic classification to customer-facing service. ... View more

Is your bank ready for Agentic AI? As AI transitions from simply assisting humans to taking autonomous actions—like updating bank records and handling fraud operations—the game completely changes. We are no longer just managing automation; we are managing authority. If you missed my live presentation at Knowledge 2026 in Las Vegas, I've put together a complete strategic breakdown of The AI Governance Gap. Discover why a compliance first roadmap is an accelerator, not a blocker, for scaling safely.   Click to read the full community article and get access to the 6 phase roadmap!   #ServiceNow #AIControlTower #IRM #GRC #AgenticAI #Knowledge2026 #TechTalkWithBill ... View more

Core banking uptime isn’t just a tech metric. It’s a promise to customers and regulators. See how ServiceNow AIOps turns a wall of alerts into a single, business-focused view, so you can predict trouble, protect settlements, and act with confidence. ... View more

As we shift from Generative to Agentic AI, the goal for Knowledge 2026 is moving beyond digital assistants to autonomous workers that execute within strict banking guardrails. This roadmap explores how the AI Control Tower and RaptorDB provide the governance and performance needed to build a bank that regulators can trust. ... View more