LLM data residency: an engineering checklist
A practical review of inference locations, stored content and fallback paths for enterprise AI teams assessing LLM data residency requirements.
4 min readAlectura Labs / Engineering notes
AI application
engineering.
Implementation guides for the requests between your application and its models.
Per-customer LLM policies for SaaS
A practical design for customer-specific model access, processing regions and retention, including policy conflicts, fallback and request evidence.
4 min readPer-user LLM spend limits under concurrency
Design LLM budgets around reservations, settlement and failure recovery so parallel requests do not all spend the same remaining allowance.
4 min readPII redaction vs pseudonymization for LLMs
Choose between removing personal data and replacing it with reversible stand-ins, with examples, isolation requirements and tests for internal AI tools.
4 min read