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Evaluation gates
Measure AI before it becomes business-critical.
AI quality cannot be judged by a single impressive answer. Folium Systems builds evaluation gates that check the workflow, model behavior, source grounding, safe-tool routing, browser paths, latency, staff usefulness, and escalation behavior before a system becomes operational.
What Folium Builds
Clear systems, reviewable proof, and a path your team can operate.
Score the workflow, not just the answer
We define test cases around the job the AI must perform, the sources it can use, the tools it may touch, and the failures it must avoid.
- Agent and workflow eval sets
- RAG faithfulness and citation checks
- Safe-tool routing and refusal tests
- Browser and user-journey regression proof
- Reserved held-out test set
- Model owner grid and compatibility matrix
Promotion scorecards
The result is a plain-language scorecard that shows what passed, what failed, what changed, and whether the workflow is ready for demo, sandbox, pilot, or production review.
- Critical-failure gates
- Human anchor and reviewer rubrics
- Latency and reliability checks
- Model, prompt, and retrieval release notes
- Persisted promotion verdict and independent readback
- Promotion, rollback, and deactivation record
Quality gate workflow
A quality gate scores the work the business actually depends on.
Folium checks model behavior, retrieval, agents, browser paths, staff usefulness, and failure handling before a workflow advances.
- 01 Define cases Write test prompts, user paths, source expectations, tool limits, and failure examples.
- 02 Run candidates Compare prompt, model, RAG, agent, or workflow versions against the same business job.
- 03 Score evidence Measure grounding, correctness, safe refusals, routing, latency, accessibility, and usefulness.
- 04 Repair failures Fix critical misses, stale sources, weak prompts, broken routes, or unsafe tool behavior.
- 05 Promote or hold Approve, pause, rollback, sandbox, or rerun based on a plain-language scorecard.
Proof Point
Model changes are compared with evidence.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
RAG and agent failures become visible before launch.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
Quality gates protect staff, customers, and owners.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Start here
Bring the next AI step under control.
You do not need to know every model name, runtime option, or integration path. Tell us what is slow, risky, expensive, confusing, or disconnected. We will help translate it into a practical AI systems plan.