Trace every agent decision, evaluate quality at every stage, and monitor production behavior - with the visibility enterprise deployments require.

See immutable traces of prompts, agents, tool calls, branching paths, retries, and model responses across the full execution path.
Move from a problematic run directly into testing, scoring, and analysis instead of stitching together separate tools.
Track how quality, reliability, latency, throughput, and spend change across runs, workflows, and releases.

Validate expected behavior before launch and detect quality drops after changes land.
Maintain immutable records of runs, changes, and execution history with the visibility needed for governance and review.
| TIMESTAMP | ACTOR | ACTION | OUTCOME | TAGS |
|---|---|---|---|---|
| 2026-03-31 09:14:02 | agent/summarizer-v2 | workflow.executed | success | prodv2.4 |
| 2026-03-31 09:14:03 | system | eval.scored | pass | faithfulness: 0.93 |
| 2026-03-31 09:14:11 | admin/wei.chen | prompt.updated | committed | agent: classifier |
| 2026-03-31 09:15:44 | agent/classifier-v1 | workflow.executed | flagged | review |
| 2026-03-31 09:16:02 | admin/priya.r | policy.applied | enforced | PII-block |
Observability is native to the system that builds, orchestrates, deploys, and governs agents - not bolted on after the fact.


A long list of good AI use cases is not an AI strategy. At ARU, we wanted a platform that could support meaningful operational improvements across the business, rather than adding a different point solution for every task.
That is one of the reasons we selected SimplAI. We are already working with their team to build agentic workflows around statement of values processing, loss runs, and underwriting audit. Their team brings genuine insurance domain expertise to the work, which means we can spend less time explaining the fundamentals of insurance workflows and more time solving the operational problems within them.
SimplAI has approached the relationship as a strategic partner, combining that industry knowledge with an impressive ability to build and iterate quickly. We are excited about what we are building together and the broader opportunity to thoughtfully apply agentic AI across different areas of our operations at ARU.

SimplAI is helping us address customer challenges at scale using AI, without the need to build an in-house AI engineering team. Even before going live in production, SimplAI has shown its value through its robust capabilities and consistent support for our goals. Their responsive and dedicated approach has made them a reliable partner in advancing our AI initiatives.

Secure infrastructure alone is not enough. Enterprises need the full stack — governed AI agents running inside a deployment model that never compromises their security posture. Pairing Zeblok’s Ai-MicroCloud with SimplAI’s orchestration layer means enterprises no longer have to choose between capability and control. Furthermore, our ability to offload to Flash memory means significant reduction in GPUs when managing user context.

With SimplAI, Lawyered isn't just embracing AI, we're redefining the legal landscape. By seamlessly integrating cutting-edge technology with our mission to democratize legal access, we're not only streamlining processes but also ensuring data security and privacy. SimplAI isn't just a platform, it's a catalyst for innovation.

As a sovereign big data technology provider, Saal's DigiXT platform is trusted by enterprises and government entities to manage, govern, and get value from their data at scale. DigiXT has a wide ecosystem of technology partners, and SimplAI's agentic AI platform is now integrated into it, giving our customers another option for building Agentic solutions on their data.
The engagement has been collaborative and constructive throughout. The SimplAI team has been responsive, capable, and open to feedback, which made the integration smooth. We look forward to continuing this partnership.
Everything you need to know about SimplAI Observability.