Resources
Guides, worked examples and insights.
How to bring AI into the work between your systems, and what it looks like in practice.
Free buyer's guide
Choosing AI for operations? Ask better questions first.
The AI Buyer's Guide for Operations Leaders: ten checks, the questions to ask every vendor, three worksheets and a weighted scorecard to compare your options.
- The real cost, not just the price
- What happens after the alert
- 3 worksheets
- Vendor scorecard
- Free PDF
Guides
Integrate AI with Your Workflow
How to bring AI into the work between your systems without replacing them: find where people connect the dots by hand, and start with one measurable workflow.
Read moreWhy LLMs Are Not Enough
AI can read and reason. Running operations also needs one record of the work across systems, early detection of changes and follow-through until it's resolved.
Read moreWhy AI Agents Fail
Most AI agents never make it out of the lab: poor workflow integration, missing context, fragmented tools, the tuning burden and unclear accountability. And why the bottleneck isn't the model.
Read moreWhy Adoption Fails
Why software rollouts and AI initiatives stall, and why bringing the context to the work beats pushing adoption harder.
Read moreWorked examples
Worked Example: Procurement
A composite scenario: a supplier date changes in email while the ERP keeps the old promise. How a Supplier PO Exception Workbench works it through to a confirmed close.
Read moreWorked Example: Sales
A composite scenario: what sales agreed by email doesn't match the order. How a Quote-to-Order Workbench finds the gaps before they reach the customer.
Read moreWorkbench demos
Pick a workflow and see a day today, the same work in a Workbench, and what changes.
Read more