OpenText Extended ECM for engineering: who owns the asset tag before AI reads it
A drawing tag that doesn't match the equipment number in SAP PM misleads people today and AI tomorrow. Name who owns that match, and who owns the delete step.
McCloy Data Insights.
Helping future-focused leaders navigate what’s next:
OpenText VIM 26.2 payment terms matching: decide whose terms win first
OpenText VIM 26.2 adds payment terms based on intelligent text matching. Before it goes live, decide whose terms win: the invoice, the PO or the vendor master.
Core Capture for SAP 26.2: GenAI extraction for OpenText VIM without a VIM upgrade
Core Capture for SAP 26.2 adds GenAI extraction you can switch on without upgrading VIM 7.6 or 20.4. Measure a baseline first; keep it apart from the upgrade.
Oversharing in SharePoint: who answers the site access review
SharePoint can now list every item shared with your whole company. Fixing it falls to site owners through access reviews, so brief them before the first email.
Practical AI in OpenText VIM: name what the model may change
Practical AI in OpenText VIM needs a clear operating boundary: what the model may suggest versus what only a named human may change, post, or clear holds.
AI readiness on Microsoft 365: finish the intranet on G5 first
Finish the Microsoft 365 intranet on the G5 you already own before optional AI. Treat Copilot-era features as reversible when the organization is ready.
What the CFO actually needs from AI in finance
CFOs need AI that shortens the close, cuts errors and PBC friction, and keeps ownership clear—a roadmap, not more tools.
Supplier bank changes in OpenText VIM: name who may clear the hold
Supplier bank changes in OpenText VIM: name who may clear the hold, what evidence is required, dual control, and the vendor-master versus invoice path.
Interrogate the model by treating AI like a junior’s first draft
AI drafts are junior first passes - not finished workpapers. Interrogate data, assumptions, and failure modes before you sign; people still own the books.
Keep, automate, supervise: how finance stays valuable when AI drafts first
When AI drafts the workpapers, finance stays valuable by owning judgment, controls, and a keep/automate/supervise map—not by typing faster.
xECM for engineering: the drawing that belongs on the work order
Put the approved engineering drawing on the SAP work order the technician opens. xECM helps in context from SAP PM. A share folder somewhere does not.
Trusted Data, Human Agency, and the AI Roadmap That Actually Works
AI is only as trustworthy as the data and governance behind it. McCloy Data explores why information quality, human oversight, and a practical roadmap matter more than speed of adoption.
Building Confidence for AI Inside OpenText VIM
Confidence is the key to successful AI adoption inside OpenText VIM. McCloy Data explores how small, governed pilots built on clean data and clear oversight create lasting value.
Practical AI in OpenText VIM
AI inside OpenText VIM delivers the most value when it starts from strong process and data foundations. McCloy Data explores low-risk, governed pilots that reduce exceptions and free capacity.
A Practical Step to AI Inside OpenText VIM is Starting Small, Governing Well
AI inside OpenText VIM delivers the most value when it starts from strong process and data foundations. McCloy Data explores low-risk, governed pilots that reduce exceptions and free capacity.
Four Emerging Categories of Generative AI Risk and How Readiness Changes the Conversation
Generative AI introduces interconnected risks across the enterprise, model capabilities, adversarial use, and the broader marketplace. McCloy Data explores how practical readiness assessment changes the conversation.
Responsible Voice Ai Governance, Ethics, and Low-Risk Adoption
Responsible voice AI requires thoughtful governance. McCloy Data explores ethics, compliance, and low-risk adoption strategies for SAP and OpenText environments.
Real-World Use Cases in Process Automation
Discover practical voice AI applications in SAP VIM and OpenText xECM. McCloy Data shares real-world use cases that enhance process automation while maintaining governance and usability.
Voice-Based AI in the Enterprise
Voice-based AI offers new possibilities for enterprise efficiency. McCloy Data explores its practical applications in SAP and OpenText environments with a focus on stewardship, governance, and measurable value.
Responsible AI Governance that Balances Innovation, Compliance, and Human Oversight
Responsible AI governance is essential for sustainable success. McCloy Data explores practical frameworks that balance innovation, regulatory compliance, and human oversight — grounded in real SAP and OpenText environments.