LLMOps, Evaluation & Guardrails

Synthetic benchmark test suites, prompt drift monitoring, token cost optimization, and PII filters.

Engineering Overview

We implement the observability, security, and evaluation infrastructure needed to run AI safely in production. Prevent prompt injection, eliminate regressions during model upgrades, and monitor token economics in real time.

Standard Architecture Deliverables

Automated prompt evaluation test suites (DeepEval / Ragas)

Real-time token cost, latency, and drift telemetry dashboards

PII data redaction and enterprise HIPAA/SOC2 compliance guards

Deterministic JSON schema validation preventing malformed outputs

Continuous CI/CD regression testing on all system prompt updates

Our Build Process

Guardrail Audit

Identify injection risks, sensitive data flows, and output constraints.

Synthetic Test Generation

Create 500+ golden evaluation test pairs covering edge cases.

CI/CD Evaluation Gates

Integrate automated prompt evaluation in GitHub Actions pipelines.

Telemetry Dashboard

Deploy Prometheus and Langfuse tracking with instant drift alerts.

Sprint Tiers & Options

Select the engagement structure that matches your product timeline.

2 Weeks

LLMOps Audit & Test Suite

Complete automated evaluation benchmark and CI/CD testing gate.

Synthetic Golden Dataset

DeepEval CI/CD Pipeline

Output Schema Validation

30 Days Support

4–6 Weeks

Enterprise AI Guardrail Suite

Production telemetry, PII redaction, and real-time drift dashboards.

PII Sanitization Filters

Langfuse / Prometheus Telemetry

Prompt Injection Defense

60 Days Support

Monthly

AI Reliability Retainer

Continuous benchmark audits and token cost reduction tuning.

Monthly Safety Audit

Cost Optimization

Priority Support