AGENTIC SYSTEM EVALUATION
Your agents are in production.
Do you know how they’re actually behaving?
Agents are moving fast. Make sure yours are performing — with structured evaluation built for real production workflows.
WHO THIS IS FOR
- Agents moving from pilot to production
- Multi-step workflows with tool or API integrations
- Governance or security scrutiny on AI deployments
- Deploying across languages or global markets
HOW IT WORKS
A data partnership, not a product
YOU SHARE
Agent execution logs, workflow telemetry, and tool call data
→
↓
WE ANALYZE
Reliability, risk, and autonomy across your real agent runs
→
↓
YOU RECEIVE
Clear intelligence on how your agents perform and where to act
THE PROBLEM
The gap no one talks about
until something breaks.
Traditional benchmarks measure prompt quality. They say nothing about what happens when agents run real workflows — reliability drift, compounding risk across tool calls, behavior that works in English and quietly fails in Arabic or Japanese. The failure modes don’t announce themselves. They surface downstream, after the damage is done.
“We pushed our agent into production. Six weeks later, governance asked us to document its failure rate. We had no structured answer.”
THIS IS THE CONVERSATION HAPPENING
IN MOST ENTERPRISE AI PROGRAMS RIGHT
NOW.
01
Scaling without control
Agents go into operational workflows with no standardized benchmarks for reliability or risk. Failure only becomes visible after it causes damage.
02
Governance pressure with no evidence
Security and leadership are asking hard questions about your AI deployments. Internal logs and anecdotal testing aren’t enough to answer them.
03
Invisible regressions
Agent behavior shifts across releases, configurations, and workflow contexts. Without structured evaluation, you can’t detect drift until something downstream breaks.
THE PROBLEM
From logs you can’t act on,
to intelligence you can.
You already have the data. What’s missing is the framework to turn it into structured operational intelligence. You share your logs — we return a clear picture of how your agents are actually performing, where the risk sits, and what to fix before failures reach production at scale.
The output is an executive-grade report your governance team can act on and a remediation roadmap your engineering team can build from. Not a dataset. Not an annotation batch.
And for global deployments: the language problem.
An agent that works in English is not an agent that works globally. Failure modes across languages are subtle — they don’t surface in testing, they surface in production. Our evaluation covers 200+ locales with dialect-native, domain-vetted contributors, assessing agent behavior in the actual context it operates in, not just the language it was built in.
THE ENGAGEMENT
Three weeks. No new instrumentation. No live system access.
WEEK 1
Partner Onboarding
You define your agents, share workflow documentation and a structured log export. We align on scope in 1–2 working sessions.
No new instrumentation required.
WEEK 2
Log Analysis & Evaluation
We normalize your execution data into our evaluation schema and run the full framework: reliability scoring, risk modeling, autonomy profiling, and failure pattern categorization.
WEEK 3
Intelligence Delivery
You receive a complete executive report: scorecards, root cause findings, and a prioritized roadmap that tells you exactly what to address first.
WHAT YOU RECEIVE
Five deliverables.
Every engagement.
Every partner engagement produces the same structured output — designed so your governance team can act on it and your engineering team can build from it.
01
Executive evaluation report
02
Reliability, Risk & Autonomy scorecards
03
Failure pattern analysis & root causes
04
Prioritized remediation roadmap
05
Repeatable evaluation artifacts for future releases
WHY WELO DATA
The obvious choice for agentic evaluation.
Most vendors can benchmark your agents in English. Almost none can tell you how they perform across languages and markets — with the compliance posture to operate inside enterprise procurement.
WHAT MOST EVALUATION VENDORS OFFER
- English-centric frameworks that don’t transfer to deployment reality
- Benchmark scores that say nothing about production reliability
- No structured methodology for multi-step agentic workflows
WHAT MOST EVALUATION VENDORS OFFER
- A purpose-built evaluation framework for production agentic systems
- 200+ locales with dialect-native, domain-vetted contributors
- 25 years of multilingual grounding built into every program
- 7 ISO certifications, SOC 2 — auditability your governance team can stand behind
GET STARTED
Share your logs.
Get clarity on how your agents are actually performing.
FAQ
Common questions.
No on both counts. You share a structured export of your existing execution logs and workflow documentation. We work entirely from that — no new tooling, no access to your live systems, and no disruption to your current setup. We align on scope in 1–2 sessions and take it from there.
Internal testing tells you what happened. It doesn’t tell you why, what your risk profile looks like, or how to prioritize what to fix. Our evaluation applies a structured external framework — reliability scoring, risk modeling, autonomy profiling, failure pattern categorization — and returns findings your governance team can act on, not just logs your engineers have to interpret.
Yes — and this is where most evaluation approaches fall short. Agents behave differently across languages, particularly in reasoning tasks and ambiguous instruction handling. Our contributor network spans 200+ locales with dialect-native, domain-vetted evaluators, so we assess agent behavior in the actual context it operates in — not just the language it was built in.
Security is built into how we operate, not added on. We hold 7 ISO certifications and SOC 2 compliance, and our work runs through 14 secure facilities purpose-built for data services. Critically, we never require live system access — you share a structured log export, and that’s what we work from. The program is designed to satisfy enterprise procurement and pass the scrutiny your security and legal teams will apply.
No. Scale isn’t the trigger — production deployment and accountability are. If your agents are making real decisions, touching real systems, or facing governance and security scrutiny, the evaluation need is the same regardless of how many agents you’re running. The teams that benefit most are those moving from pilot to production, where the cost of an undetected failure is highest and the window to get ahead of it is shortest.