No visibility into AI behavior blocked safe scaling on a 500k-clinician platform. Trace observability defused a phishing scare in minutes.
A healthcare staffing technology platform built on Google Cloud, supporting more than 500,000 clinicians and over 10,000 active jobs at any given time, where placing the wrong clinician can directly affect patient safety.
As AI expanded across clinician matching, recruiter messaging, and job-detail extraction, non-deterministic behavior made it difficult to investigate...
“AI has been central to how we improve clinician matching and marketplace efficiency for years. Today, it plays a critical role in helping us operate a marketplace at this scale.”
Online marketplace for travel nurse and allied health professional jobs.
Observability and security platform for cloud-scale monitoring and analytics.
Nomad Health's Workflow monitoring is part of this use case:
Related implementations across industries and use cases
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Debugging 100-step AI workflows meant manually sifting logs. Now, engineers trace inferences to isolate errors and rapidly deploy models.
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Debugging 100-step AI workflows meant manually sifting logs. Now, engineers trace inferences to isolate errors and rapidly deploy models.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
No visibility into AI behavior blocked safe scaling on a 500k-clinician platform. Trace observability defused a phishing scare in minutes.
A healthcare staffing technology platform built on Google Cloud, supporting more than 500,000 clinicians and over 10,000 active jobs at any given time, where placing the wrong clinician can directly affect patient safety.
As AI expanded across clinician matching, recruiter messaging, and job-detail extraction, non-deterministic behavior made it difficult to investigate...
“AI has been central to how we improve clinician matching and marketplace efficiency for years. Today, it plays a critical role in helping us operate a marketplace at this scale.”
Online marketplace for travel nurse and allied health professional jobs.
Observability and security platform for cloud-scale monitoring and analytics.
Nomad Health's Workflow monitoring is part of this use case:
Related implementations across industries and use cases
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Debugging 100-step AI workflows meant manually sifting logs. Now, engineers trace inferences to isolate errors and rapidly deploy models.
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
Debugging 100-step AI workflows meant manually sifting logs. Now, engineers trace inferences to isolate errors and rapidly deploy models.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.