AI decisions break when your operation changes.
AI decisions break when your operation changes.
The model you deployed will ship a new version. The rules and procedures you built your deployment around may not survive it. How would you know?
The person who knew which readings to trust, which exceptions were acceptable, which procedures existed only in their head. That knowledge walks out the door. It was never written down.
The regulatory framework governing your business shifts without warning. Without a rule set mapped to its source regulation, you cannot tell which AI decisions stayed compliant after the change.
A security breach and a periodic compliance review require the same thing: a tamper-evident record of every AI decision, the rule that governed it, and the operating state at the time. When a breach hits, the log tells you whether your AI was compromised and what it did during the window. When the scheduled review comes, the log is what you hand the auditor.
Every business that deploys AI will face at least one. Most don't anticipate which one comes first.
Nexus organizes your operation into three layers: Domain, Rules, Events. Nexus encodes your rules, procedures, and expert judgment as executable logic. When something changes, the graph traces only what's affected.
A regulation update lands. A model version ships. An expert leaves. Nexus captures every change as an event.
OSHA issues updated inspection interval guidance for high-pressure relief devices under 1910.119(j).
The event traces upward. Every Rule, AI Model, and Decision wired to that event surfaces for review. Nothing else is flagged.
3 Rules tied to that regulation. 2 AI Models reference them. 11 past Decisions used them.
The graph traces back to the Equipment, Process, Expert, and Regulation involved. Re-validation scope is now bounded.
Trace lands on 6 pieces of Equipment in the CDU and FCC units, owned by 2 Process Engineers. 11 prior Decisions flagged for review. Re-validation scope: 3 rules out of 1,400.
We define the specific decisions your AI system needs to make and the rules that govern them. No open-ended discovery phase. One problem with a clear boundary and a measurable outcome.
Senior domain experts work alongside your team. They capture what your best people know: procedures, exceptions, judgment that isn't documented anywhere. We encode that knowledge into Nexus as executable rules.
Nexus monitors your deployment continuously. When a model version ships, it re-validates against your rule set. When a regulation changes, it surfaces only the affected rules. Your knowledge stays encoded. Your team doesn't have to start over.
Don't see your industry? Nexus applies wherever an AI decision has to clear a rule, a regulation, or a senior expert's judgment before it acts. Tell us what you're deploying and we will scope it.
Bring us your deployment. We scope it on one call.