LiminalArc
Business focused. Technology forward. Organizational Change.
- Website
- leadingagile.com · all feeds from this site
- Feed URL
https://www.leadingagile.com/feed/
Read it in your FeedListing reader
Or add to: Feedly Inoreader Raw feed
Latest posts
-
How to Decide What Not to Modernize
Most modernization programs start with the wrong question. They ask which system is oldest or ugliest, when the question that protects the budget is which capabilities are worth modernizing at all. Score what the business does on value, performance, and risk, and a business…
-
Value Engineering vs AI Cost Cutting
Listen to Future State Now on the go! Find and subscribe to Future State Now on: Apple Podcasts Spotify Soundcloud RSS In the Episode When AI spending lands in the operating budget, the first thing many companies cut is people. This episode explains why that happens and what to…
-
Increasing Decision Capacity Post AI
In this video, Stacy Gordon sits down with John Greisner, a management consultant at LiminalArc, to explore why AI doesn’t remove your software delivery bottleneck so much as move it. Drawing on Goldratt’s theory of constraints from The Goal , John walks through what happens…
-
Deliberate and Data-Driven App Modernization
Discover how organizations use business capability heatmaps and domain alignment to make deliberate, data-driven, and defensible modernization decisions that deliver business value at every step of the journey. Podcast Transcript Stacy Gordon: We got to build the model, the heat…
-
The Real Reason 79% of App Modernizations Fail
Nearly 80% of enterprise application modernization efforts fail, and the reason has nothing to do with choosing the wrong technology. In this conversation, Melissa Roberts, business architect and value engineer at LiminalArc, explains why modernization programs are designed to…
-
A Working AI Pilot Proves Nothing
A working AI pilot proves less than most executives assume. This episode digs into why AI initiatives clear a demo and then stall in production, and the constraint is rarely the model. It’s whether the organization’s data, applications, and ownership structure are actually ready…
-
7 Reasons Why AI is Failing in 2026
Over the past fifteen years I have stood on a lot of stages explaining why agile fails in large enterprises. What emerged over those years was a model LiminalArc calls the Four Quadrants. As we find ourselves in the midst of doing a ton of AI transformation work, I find the…
-
Is Agentic Modernization Finally Possible?
Nobody has done agentic application modernization a hundred times yet, because the AI models capable of it have only recently become good enough to use. LiminalArc’s bet starts with a thesis: business capability modeling and domain-driven design are the same discipline in two…
-
Portfolio Management in an Agentic World
Lou has overseen the portfolio for years, and nothing about the work looks any different. The reviews still happen on schedule. The templates still fill in. The numbers still reconcile. But he sees now that the existing processes have become the bottleneck now that the build…
-
Why AI Fails: You Bet Production on a Promise
My last six posts made an argument: AI fails on conditions, not models; capabilities are the unit; AI has three jobs and one it can’t take; transform by slices, never all at once. The most common response I get is some version of: okay, I buy it. What do we actually do on…