Quick takes. Sharp thinking.

Explore practical insights, strategic POVs, and emerging trends from the team driving enterprise transformation forward.

Quick takes. Sharp thinking.
AI Transformation, Enterprise Architecture
The Hidden Cost of a Drifting Targetprocess Environment 

Conflicting portfolio numbers and one admin who knows how every report works are signs your Targetprocess environment has drifted. Cprime’s Carollyn Gehrke explains why drift happens, what it costs TBM leaders, and the five-step framework to fix it: Stabilize, Standardize, Enable, Align, Sustain.

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AI Transformation, Enterprise Architecture
Jira Service Management Won’t Fix a Broken ITSM Process. ITIL Can

Jira Service Management can't fix immature ITSM processes on its own. Learn why ITIL practices should come first, the three signs your process isn't ready, and the questions to answer before you configure JSM.

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AI Transformation, Enterprise Architecture
Why Atlassian Rovo Alone Doesn’t Improve Delivery (and What Closes the Gap) 

Atlassian Rovo alone won't improve delivery. Learn the four gaps that stall Rovo AI and how delivery intelligence closes them.

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AI Transformation, Enterprise Architecture
What Is Agentic SDLC? How Rovo Agents Are Reshaping the Software Delivery Lifecycle 

Most software teams already use AI, yet delivery rarely gets faster in a way leaders can measure. Learn what agentic SDLC means, how Rovo agents reshape each stage of delivery, and what it takes to turn them into real results.

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AI Transformation, Enterprise Architecture
Getting More From Targetprocess: High-Value Features Teams Overlook 

Most organizations use only a fraction of what Targetprocess can do. Explore six high-value Targetprocess features teams overlook, from OKR linkage and capacity planning to scenario modeling, and the executive value each one unlocks.

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AI Transformation, Enterprise Architecture
Scaling Targetprocess for Growing Portfolio Complexity 

As portfolios multiply, a Targetprocess setup built for a simpler organization starts to strain. Learn the five signs your instance has outgrown its design and a six-move framework for scaling strategic portfolio management without a rebuild.

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AI Transformation, Enterprise Architecture
From Proof to Enterprise Scale: How Transformation Leaders Scale an AI-First Operating Model Across the Organization 

Scaling enterprise AI starts with a narrower first step. Learn how transformation leaders prove a Minimum Viable Operating Model, govern at the speed of change, and scale it into an enterprise-wide Target Operating Model.

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AI Transformation, Enterprise Architecture
What Actually Changes When an Enterprise Moves to an AI-First Operating Model

An AI-first operating model changes how work is performed, governed, and improved. Explore the three shifts that extend the digital foundation and the six dimensions that must work as one system.

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AI Transformation, Enterprise Architecture
The L&D Bottleneck in AI Transformation: Why Traditional Learning Can’t Keep Pace with AI 

AI is evolving faster than traditional training can keep up. Learn why L&D has become a bottleneck in AI transformation and how continuous, role-based learning built into daily work helps enterprises build AI capability at speed.

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