Production AI systems engineering
Representative delivery patterns
Described at the architecture level. Clients and program names are not disclosed. Each pattern reflects a real engagement—scoped, built, hardened, and handed off.
Permission-aware knowledge retrieval for a regulated SaaS platform
A B2B SaaS platform serving regulated-industry clients needed internal knowledge retrieval accessible to end users across multiple tenants. The core problem was not retrieval quality — it was access control. Documents carried role and tenant-level permissions that had to be enforced at retrieval time, not post-filtered. An off-the-shelf RAG implementation would have exposed cross-tenant data under certain query patterns.
What we built
- Ingestion pipeline with document normalization and metadata extraction
- Chunking strategy tuned for document structure, not fixed token windows
- RBAC-aligned retrieval filtering integrated with existing SSO identity layer
- Offline evaluation harness with recall/precision baselines and regression checks
Production requirements met
- Tenant isolation enforced at index query time
- Retrieval audit trail aligned to compliance requirements
- Monitoring for recall drift and retrieval latency
- Runbooks and ownership documentation on 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.
What we built
- 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 requirements met
- 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 constraints and talk through a build approach.
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