How systems break — and how they get fixed
Most organizations don’t have a technology problem.
They have a systems problem that technology is exposing.
This collection breaks down real-world scenarios where workflows stalled, AI underperformed, documentation failed, or tools created more confusion than clarity. Each case study focuses on what actually went wrong beneath the surface — and what it took to correct it.
These are not success stories in the traditional sense.
They are system analyses.
Inside each case:
- The problem as it appeared
- The underlying failure most teams missed
- The intervention that changed the outcome
- The broader pattern that applies beyond a single organization
The goal is simple: show how complex, messy systems can be understood, structured, and made to work.
If you’re dealing with:
- AI that isn’t delivering value
- Processes that don’t scale
- Documentation that no one trusts
- Too many tools and no cohesion
You’ll likely recognize the pattern before you finish reading.
The SOW Nobody Reads Until Something Goes Wrong
The statement of work (SOW) often becomes central when IT projects fail, revealing gaps between contract intentions and deliverables. Most SOWs lack clarity on outcomes, acceptance criteria, and scope, leading to disputes and inefficiencies. Addressing these issues upfront can prevent costly complications and ensure project success.
Mike Phillips Tech 