Engineering metrics, not testimonials.
Validated outcomes across SaaS, FinTech, regulated finance, defense, and healthcare. Each case study lists the before/after metrics, the payback horizon, and a written long-form story behind the numbers.
MTTR cut from 4.2 hrs to 58 min
Deployed Reflexion Engine on Vertex AI Agent Engine. Actor/Critic loops auto-remediated 63% of known incident patterns before on-call was paged. Human-in-the-loop gate engaged on 4 blast-radius events — zero false positives.
We woke up to a Slack message that an incident had been resolved. That had never happened before.
— Staff SRE, Series B SaaS
$50K/mo cloud waste eliminated
Mathematical VM rightsizing and intelligent context caching across 3 cloud providers. Token governance cut LLM API spend by 58%. Spend caps and metered billing guardrails deployed in 2 weeks.
It was the first time finance and engineering were looking at the same number for cloud cost.
— VP Engineering, FinTech
SOC 2 + GDPR audit-ready in 48 hrs
Full VPC-native RAG pipeline with AlloyDB pgvector and RLS multi-tenancy. Zero data exfiltration pathways. GCP Identity Platform per-customer isolation. Passed external FinReg audit with zero findings.
The auditor told us they wished more vendors started here.
— Head of Security, regulated FinTech
Cluster-aware AI agents inside an air-gap
Self-hosted Starling MCP inside a fully isolated K8s environment. Claude Desktop running on jumphost workstations, scoped read-only access to cluster state. Zero outbound traffic from the workload network.
It's the first AI tool that survived our security review on the first pass.
— Platform Lead, defense contractor
Platform cutover plan in 48 hours
Murmuration Niche Advisory engagement. Two sessions, written architecture doc with Actor/Critic-validated tradeoffs, executable cutover runbook. Cut six weeks of internal RFC-thrash to one written deliverable.
We had been arguing for three months. The Actor/Critic write-up gave us a defensible answer in two days.
— Head of Platform, healthcare scale-up
ROI calculator — Reflexion deployment
Conservative defaults from the case-study cohort. Based on a 110 USD/hr loaded engineer rate and 2.8 hours of MTTR recovery per incident.