Delivery at risk.
A late component and no approved substitute put the Friday delivery at risk. D-218 carries the evidence into an order update.
CONTEXT MESH
Knowledge that
carries forward.
Connect what your business knows. Give AI the context it is permitted to use—and carry the reasoning behind each decision into what happens next.
See the mesh in motionA connected source. A traceable decision. A more informed next step.
Context Mesh
Enterprise records
OrdersInventorySuppliers
Business rules
CommitmentsApproval limitsQuality standards
Human expertise
Planner guidanceExceptionsAlternatives
Operational history
Shipment eventsPast delaysResolutions
Your systems stay in place.
04 / THE NEXT TASK
Start with
what’s known.
RETRIEVED WITH PERMISSIONDelivery at riskD-218 · Sources + policy · 09:42
Evidence-backed update ready.
Past reasoning becomes context for the next task.
Knowledge carried forward- 01 Connect
- 02 Retrieve
- 03 Record
- 04 Reuse
Three independent fictional scenarios: supply chain, finance and manufacturing. Each connects enterprise records, business rules, human expertise and operational history, retrieves permitted context, records a decision with evidence, and shows the next permitted agent reusing that decision. This is knowledge reuse, not model training. Enterprise sources stay in their existing systems.
Review the extra freight.
AP guidance identifies a $400 freight charge outside the purchase order. D-402 carries the reasoning into a review packet.
Prepare an inspection.
A changed vibration trend and a technician’s planned-stop guidance inform D-317 and an inspection request for review.
THE REAL-WORLD PROBLEM
Why start from scratch?
Records, rules, expert judgment, and past decisions live across the business. A useful answer needs the connections between them.
WHAT BECOMES POSSIBLE
Understanding that carries forward
Connect relevant knowledge, record a decision with its evidence, and let the next permitted agent build on what is already known. Your source systems stay in place.
FOR A CLOSER LOOK
The detail
behind the idea.
Where Context Mesh fits
Mesh supports governed reads and writes, semantic indexing, and provenance snapshots of the data and policies used for decisions. Source information can remain in existing systems. It forms the knowledge foundation of the Context Layer.
See the architectureWhat these examples show
Three fictional scenarios—supply chain, finance, and manufacturing—show permitted retrieval, decisions recorded with evidence, and knowledge reused by another agent. They illustrate knowledge reuse, not model training. These are independent visualizations, not reproductions of Distyl’s product interface or evidence of live customer deployments.
YOUR BUSINESS. YOUR NEXT CHAPTER.