Production AI systems engineering
Representative delivery patterns
Described at the architecture level. Client details are not disclosed. Each pattern reflects a real system — scoped, built, hardened, and handed off in production environments.
Permission-aware retrieval in multi-tenant systems
A B2B SaaS platform serving regulated-industry clients needed internal knowledge retrieval exposed to end users across multiple tenants. The challenge was not retrieval quality — it was enforcing access control at retrieval time. Documents carried role and tenant-level permissions that a standard RAG implementation would not respect. Post-filtering was insufficient: it couldn't prevent cross-tenant context from influencing generated responses. The system had to enforce boundaries at the index query layer, before any content reached the model.
Architecture approach
- Ingestion pipeline with document normalization and permission metadata extraction at ingest time
- Chunking strategy tuned to document structure and role-relevant content boundaries
- RBAC-aware retrieval with identity-layer integration — access enforced at query, not filtered after
- Offline evaluation harness with recall/precision baselines and adversarial query regression suite
Production properties
- Tenant isolation enforced at index query time — zero cross-tenant document exposure
- Retrieval audit trail aligned to compliance and data access requirements
- Monitoring for recall drift and retrieval latency across tenant partitions
- Runbooks and ownership documentation delivered at handoff
Agentic workflow with human approval gates for an operations team
An operations team managing high-volume, multi-step workflows across several internal tools wanted to automate a class of repetitive decisions — while retaining human review for actions above a defined risk threshold. The challenge was not the automation itself but defining the boundary: what the agent could execute autonomously, what required approval, and what had to fail deterministically rather than degrade silently.
Architecture approach
- Orchestration loop with explicit tool boundary definitions and least-privilege permissioning
- Risk-tiered approval flow: auto-execute, human-in-loop, and hard-stop tiers
- Tool-call logging and trace spans for full auditability
- Evaluation test set covering edge cases, adversarial inputs, and boundary conditions
Production properties
- Deterministic fallbacks for all failure modes — no silent degradation
- Cost telemetry and per-workflow token budgets
- Escalation path with clear notification and override mechanics
- Regression checks integrated into CI pipeline
Discuss a delivery pattern
If one of these patterns maps to what you're building — or you have a different architecture problem — we can review your constraints and give you a clear picture of where your system will fail in production.
No commitment required. You'll leave with a clear architectural assessment — whether we work together or not.