Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
A cybersecurity startup building autonomous digital employees that execute complex identity and access management workflows, managing millions of identities across dozens of enterprise customers.
As the multi-agent architecture scaled, abstraction layers hid prompts, reasoning paths, and retries behind a black box. This lack of visibility...
“Datadog LLM Observability gives us complete visibility into our agents’ reasoning. We stopped guessing. We can see the prompt, the retries, the tool calls, and the cost of every step.”
AI digital employees for automated identity security and governance.
Observability and security platform for cloud-scale monitoring and analytics.
Twine Security's Model monitoring is part of this use case:
Related implementations across industries and use cases
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Reps struggled to match thousands of use cases. AI now scans 1,500 accounts for triggers and drafts pitches, saving 10+ hours weekly.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
Black-box AI logic hid costly retry loops. Granular traces exposed redundant tool calls, enabling engineers to optimize agent reasoning.
A cybersecurity startup building autonomous digital employees that execute complex identity and access management workflows, managing millions of identities across dozens of enterprise customers.
As the multi-agent architecture scaled, abstraction layers hid prompts, reasoning paths, and retries behind a black box. This lack of visibility...
“Datadog LLM Observability gives us complete visibility into our agents’ reasoning. We stopped guessing. We can see the prompt, the retries, the tool calls, and the cost of every step.”
AI digital employees for automated identity security and governance.
Observability and security platform for cloud-scale monitoring and analytics.
Twine Security's Model monitoring is part of this use case:
Related implementations across industries and use cases
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Tracking spend for 300M AI agent runs was a black box. Real-time tracing now lets finance pinpoint costs and update pricing within hours.
Engineers lacked visibility into a slow AI agent. Rebuilt low-level tracing exposed critical bottlenecks and accelerated LLM responses.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Reps struggled to match thousands of use cases. AI now scans 1,500 accounts for triggers and drafts pitches, saving 10+ hours weekly.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.