AI Platform & Orchestration
One control plane to design, run, observe, and govern multi-agent/LLM apps, with routing, guardrails, and audit trails at enterprise scale.
What you get
- 3-5 week build
- orchestrator + guardrails
- run log + observability
Outcomes
- Orchestration graph with retries, timeouts, circuit breakers, and backoff logic for multi-agent coordination
- Multi-model routing engine with cost/latency policies, automatic fallbacks, and budget enforcement
- Central run log with PII redaction, prompt versioning, actor tracing, and compliance-ready audit trails
- Guardrails blocking unsafe actions (jailbreak, toxicity, groundedness) with eval suite passing agreed thresholds
- Observability stack with traces, metrics, and alerting for latency spikes, cost anomalies, and error rates
- SSO/SAML integration, role-based access control (RBAC), and secrets management for secure enterprise deployment
Proof points
- SLA verification: p95 latency and success-rate targets met on 3 critical flows with load testing results
- Cost governance: Budget caps enforced with real-time alerts; model switchovers proven with A/B test logs
- Audit trail: Run log traces every request with actor ID, timestamp, prompt version, tool calls, outputs, and PII redaction proof
- Safety validation: Guardrails block unsafe actions in test scenarios; eval suite passes agreed accuracy/safety thresholds
- Orchestration graph sample: DAG visualization with retry logic, timeouts, and agent dependencies (available on request)
- Cost optimization report: Model routing savings breakdown with before/after spend analysis (available on request)