Is Your CMDB the Reason Your ServiceNow Rollout Stalled?

Is Your CMDB the Reason

A ServiceNow rollout can appear successful while the processes built on it remain slow, inconsistent and difficult to trust. Incident routing works until a dependency is missing. Change assessments look complete until the wrong services are shown as affected. Automation is available, but teams hesitate to use it because the underlying records are unreliable. In […]

What to Test Before a ServiceNow Upgrade (and What You Can Skip)

ServiceNow upgrade testing usually fails in one of two ways: teams test too little because time is short, or they attempt to test everything and run out of time before reaching the processes that matter. A risk-based plan avoids both mistakes. It protects business-critical workflows, customisations and integrations first, then uses automation to make the […]

Buy, Build or Configure? Deciding Where Custom Applications Belong on ServiceNow

Buy, Build or Configure_ Deciding Where Custom Applications Belong on ServiceNow

A process that fits no standard product creates a difficult ServiceNow custom application development decision. Configuring an existing product may protect maintainability but force an awkward process. A low-code application may fit the work better but introduce new ownership. Full custom development may provide precise control at a cost that continues long after launch. The […]

What applied AI really means on ServiceNow

What applied AI really means on ServiceNow

AI is easy to talk about and harder to put to useful work. We use the term applied AI to mean something specific: AI that sits inside a real workflow and changes the outcome. Not a demo, not a proof of concept that never leaves the lab and not a chatbot bolted onto the side […]

Cutting the manual effort out of customer onboarding

Onboarding is where good intentions meet manual effort. Leads arrive from many places, each needs scoring and routing, and then the real work begins: document checks, KYC, AML, approvals and the audit trail to prove it was all done properly. Most of that is repeatable, and repeatable work is exactly where automation pays off.

What good looks like for AI in financial services operations

In regulated operations, the question is not whether AI is clever. It is whether you can trust it, explain it and stand behind it, months later, to someone with the authority to ask. Plenty of AI passes the first test and fails the other two, which is why so much of it never makes it out of the innovation team. Here is what we think good looks like.