Case studies
Outcomes, fully anonymized.
Regulated work carries a confidentiality obligation, so these are reported as sector and outcome only, never a client name or any identifying internal detail. The metric is the point; the internals are a liability we will not publish.
Engagements
- Multinational insurer
Three cloud guardrail systems consolidated behind one gateway policy.
A regulated insurer ran separate content-safety controls per cloud, with no shared definition of what the AI should refuse. We consolidated them behind a single governed gateway policy with PII anonymization and national-ID regex screening, one place to decide, one place to enforce.
3 → 1guardrail systems behind one policy100%LLM traffic screened for PIIGuardrails, content safety & PIIAI Gateway architecture & build - Tier-one bank
From zero cost visibility to full per-team attribution.
Agent traffic was billed as one opaque line item across many teams. A governed gateway with mandatory cost-tracking headers and semantic caching gave finance per-team, per-app attribution and cut redundant model spend, without teams changing how they build.
0 → 100%per-team cost attribution~90%redundant endpoint cost removedAI Gateway architecture & buildSecure agent CI/CD & enablement - Healthcare provider
EU-only residency held while putting clinical experts in the eval loop.
A provider needed agent behavior graded by clinical domain owners, not engineers, while keeping all data in-region. Framework-agnostic observability plus annotation queues wired into CI let non-technical experts score traces, with residency preserved across the stack.
EU-onlyresidency across the agent stack100%traces graded in CIAgent observabilityAgent evaluation
Illustrative engagements pending real anonymized data, figures are representative, not yet client-sourced.