Enterprise Integration Research
Resolving
operational
bottlenecks.
Architectural approaches, governance frameworks, and empirical case studies for enterprise automation and system integration.
No spam. Just an occasional useful guide.
Featured
Agentic Commerce Is Here: What AI Shopping Agents Mean for Your Storefront
Google's Universal Commerce Protocol and Microsoft's Copilot Checkout both went live in the US in early 2026. AI agents can now browse, compare, and buy on a customer's behalf, if your storefront's data and systems are actually built for them to. Here's what that requires.
The Agentic AI Governance Gap: Why Running AI Agents Isn't the Same as Controlling Them
Most enterprises now have AI agents doing real work. Far fewer can say who approved a given action, what data it touched, or what happens when it's wrong. That gap is what regulators, auditors, and increasingly customers are starting to ask about.
AI Agent Compatibility Is Now a Baseline ERP Requirement, Not a Nice-to-Have
Enterprise buyers evaluating ERP and business systems in 2026 are asking about AI agent compatibility as a standard line item, not an advanced feature. If your systems can't expose real-time, structured data to an agent, you're already behind the evaluation bar your own team may be using.
What Is Exception Management, and Why Your ERP Can't Do It
Your ERP, MES, and QMS are built to run the happy path. The cases that fall outside it still land on someone's desk. Here's what exception management actually means, and why it has to be engineered, not just staffed.
The Real Cost of a Manual Operational Exception (and How to Estimate Yours)
The cost of a manual exception rarely shows up as a line item. It shows up as a quality manager's Tuesday afternoon, a delayed shipment, and a decision that quietly varies depending on who handled it. Here's how to actually estimate it.
Operational Automation vs. RPA: What's Actually Different
"We already tried automation" usually means someone tried RPA on a workflow it wasn't suited for. Here's the real distinction, and how to tell which one your process actually needs.
Why Your ERP, MES, and QMS Don't Talk to Each Other (and What to Do About It)
Most manufacturers don't have a data problem. They have a coordination problem, where people have quietly become the integration layer between systems that were never built to share information.
AI With Human Approval: How to Deploy AI in Operations Without Losing Control
The operations leaders getting real value from AI aren't the ones automating decisions away from people. They're the ones who figured out exactly where AI should stop and a person should start.
Embedded Engineering vs. Staff Augmentation: What's Actually Different
Both promise to add engineering capacity fast. One adds a resume to your headcount. The other adds a senior engineer who actually works inside your process. Here's how to tell which one you're being offered.
Build vs. Buy: When Off-the-Shelf Software Can't Solve Your Operational Exception
Before buying another point solution, it's worth being honest about why the last three didn't fix the actual problem. Sometimes the answer really is a purchase. Often it's a narrower, custom-built layer around what you already run.
Commercial Engagements
Implement these architectural patterns.
Describe your problem cases. We will evaluate it objectively and define the necessary integration layer.