Signals topic
AI Governance
4 signals tagged "AI Governance".
Everyone Now Sells a Semantic Layer for Processes. Who Makes It Portable?
In October SAP, Celonis, ARIS and Microsoft all positioned their own layer as the place where enterprise AI learns how your business works, and an ARIS/Hackett study put a number on it: 5x. These layers make agents better inside each platform; what most customers still lack is the connection between platforms, and governance over it. What practitioners should ask, and where a customer-owned knowledge core pays off first.
From Human-in-the-Loop to Human-on-the-Loop
Cognitive agentic AI replaces pre-specified logic with decisions generated at runtime — and why operational governance has to shift from human-in-the-loop to human-on-the-loop.
Tooling and capability have to arrive together — why bpExperts and BPM&O now stand side by side in mocean
bpExperts and BPM&O now stand side by side in the mocean group — a strategic alliance pairing process architecture and agentic tooling with process-oriented organisational development and qualification. Why now? Because 55% of organisations are piloting AI in process management and only 9% have scaled it: tooling and capability have to arrive together. A joint white paper — BPM Quo Vadis in the Age of AI — is on its way.
AI Governance Is Now a Process Management Problem — Three Signals Your Transformation Programme Cannot Ignore
With EU AI Act enforcement starting 2 August 2026, SAP repositioning as an AI governance provider at Sapphire Madrid, and MCP 2.0 finalising in late July, AI governance has shifted from policy exercise to live operational discipline — and BPM teams are at the centre of it.