Reason 1Customer Separation
Every customer’s data must stay separate.
Drawings from one prime must never inform an answer for another. Generic AI tools cannot enforce that boundary.
The cost: One leak can end a supplier approval.
You hold your customers’ drawings, fleet data and programme terms, often for competing primes and operators at once. Aegironix keeps each customer’s data separate and private in your own infrastructure, uses managed AI only for public work, and gives every customer an audit trail they can inspect.
Suppliers and MRO providers face everything a prime faces, plus three pressures that come from working for many customers at once.
Reason 1Customer Separation
Drawings from one prime must never inform an answer for another. Generic AI tools cannot enforce that boundary.
The cost: One leak can end a supplier approval.
Reason 2Flow-Down Requirements
Primes flow down cybersecurity, export-control and quality clauses, such as DFARS, CMMC and AS9100 requirements, that decide where their data may be processed.
The cost: Unapproved AI use can breach the contract itself.
Reason 3Customer Audits
Operators and primes increasingly ask which tools touched their data, and they expect evidence rather than assurances.
The cost: Weak evidence slows renewals and new approvals.
Aegironix gives each customer and programme its own private workspace, its own rules for managed AI and its own audit log, all inside your infrastructure.
Discuss your customer requirementsSeparation is built into the platform, not left to user discipline.
Each customer or programme has its own indexed sources. Retrieval never crosses a workspace boundary.
Users see only the workspaces their role, programme and export authorisation allow.
Switch managed AI off entirely for customers whose contracts rule it out, without affecting other work.
Every request, source, route and approval is logged per workspace and can be exported for that customer’s audit.
Yes. Each customer or programme gets its own knowledge base, access rules and audit log inside your infrastructure. Retrieval is limited to the workspace a user is working in, so one customer’s drawings, fleet data or terms never inform an answer for another.
Yes. Managed AI is switched on or off per workspace. If a customer’s contract or security requirements rule it out, their workspace runs on private models only, while other work can still use managed models for public research.
Aegironix logs every request, source, route and approval per workspace. You can export a customer’s own log, together with our architecture and data-flow documentation, to answer their questionnaires and audits. How you use that evidence in your compliance programme remains your decision.
Start with one customer workspace, one quality team or one MRO line, using your own data and evaluation criteria.