AI Operations & Enablement
Continuous Reliability & SRE
A dedicated retainer engagement to keep your production AI agents, vector databases, and LLM pipelines highly available, secure, and continuously improving — with 24/7 telemetry, automated regression harnesses, and proactive token cost governance.
Core Operational Programs
Keep your deployed AI agents, RAG vector pipelines, and LLM integrations running with peak reliability, zero unexpected cost spikes, and continuous accuracy improvements.
24/7 Drift & Hallucination Telemetry
Real-time monitoring of embedding similarity shifts, hallucination score spikes, response latency anomalies, and automated incident alerts.
- Datadog / OpenTelemetry
- Automated Alert Pagers
Continuous Prompt & Model Re-Tuning
Proactive prompt refactoring, model version upgrades, and quantization optimizations to preserve answer quality while slashing API costs.
- Model Version Upgrades
- Token FinOps Optimization
AI SRE & Incident Runbooks
SLI/SLO definition, error budget tracking, fallback circuit breakers, and blameless incident postmortems for complete operational transparency.
- 99.99% SLO Policies
- Self-Healing Runbooks
Internal Team Enablement & Cadence
Bi-weekly office hours, prompt engineering masterclasses, security audit reviews, and hands-on guidance for your internal engineering team.
- Bi-Weekly Office Hours
- Governance Reviews
Structured Continuous Operations
A predictable operational cadence ensuring total visibility, zero drift, and continuous cost optimization.
Baseline & Observability Setup
Instrumenting Datadog / Prometheus dashboards, configuring SLO thresholds, and setting up automated incident escalation bridges.
- SLO & error budget definition
- Automated alert routing
Drift Mitigation & FinOps
Analyzing token usage trends, trimming prompt bloat, evaluating new foundational models, and running regression benchmarks.
- Token consumption optimization
- Vector database index re-indexing
Executive ROI & Roadmap Elevation
Comprehensive quarterly business reviews (QBR), model architecture upgrades, security compliance audits, and new capability planning.
- Executive QBR presentation
- Next-quarter evolution roadmap
Senior AI Reliability Specialists
Engineers with deep expertise in LLM infrastructure, distributed tracing, model quantization, and production SRE.
Lead AI SRE Engineer
Owns 24/7 observability, SLO compliance, latency debugging, and rapid automated incident mitigations across clusters.
MLOps & Optimization Specialist
Continuously evaluates token costs, performs prompt regression benchmarks, and manages vector index health.
AI Governance & Safety Director
Audits continuous safety rails, PII redaction rules, regulatory compliance benchmarks, and team enablement masterclasses.