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Article
Automation Migration Strategy: How to De-Risk Your Platform Move
What every automation leader should understand about platform automation migration economics, strategy, and the role of AI. A migration is one of the most consequential and impactful decisions an
Article
Automation & AI Opportunities in Food Manufacturing
Automation without strategy is just expensive busywork. Here's how Australia's leading food manufacturers are cutting through the hype to drive real ROI from AI and intelligent automation.
Article
Roadmap Report: Celonis’ Context Model & Ikigai Labs
Celonis is evolving from a process intelligence platform into an enterprise AI context layer, helping models and agents understand the business before they recommend, simulate, plan, or act. Celonis
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Article
Forward Deployed Engineering (FDE): The Missing Layer in Your AI Operating Model
A Forward Deployed Engineer (FDE) is the embedded technical engineer that activates and operationalizes AI capabilities—LLMs, Agentic AI, and vibe coding—connecting them to business systems, data,
Article
AI Value Management: How to Build a Practice for Agentic AI
AI value management is the operational discipline of tracking, validating, and communicating agentic AI value realization over time — across all five dimensions, from pre-implementation baseline to
Article
5 Measurement Dimensions: What Leaders Should Know About Measuring AI Project Value
Most automation programs track what's easy to count. A mature agentic AI measurement framework tracks what actually drives business outcomes across five dimensions: customer satisfaction, cost of
Article
Measuring Agentic AI Value: Why Traditional Metrics Falls Short
When organizations evaluate automation investments, they almost always reach for the same metrics: hours saved, cycle time reduction, headcount avoidance. These are easy to calculate, easy to present
Article
Stop Paving the Automation Cow Path
AI and automation projects fail when organisations bolt AI onto current processes instead of challenging whether those processes should exist in their current form.
Article
The AI Skills Gap Is the Real Talent Crisis
The AI skills gap is the widening disconnect between the technology enterprises can now deploy and the human capability required to operationalize it.