AI guardrails and evaluation
Personal data redacted, answers tested against a test set, and quality tracked.
How it works · AI guardrails and evaluation
STEP BY STEP
In
- Conversation log
- Test set
- Policies
- 1
Redact01
Personal data removed
PII removed
- 2
Test02
Answers scored on a test set
92 of 100
- 3
Review03
Failures reviewed by a person
8 reviewed
Human checkpoint
- 4
Track04
Quality tracked over time
Dashboard
Out
- Dashboard
- Gap report
- Change log
How it works
01
The problem
AI answers go out without anyone checking their quality.
Step by step
- 01Redact. Personal data removed.
- 02Test. Answers scored on a test set.
- 03Review. Failures reviewed by a person.Human checkpoint
- 04Track. Quality tracked over time.
Tools and control
02
Connects
OpenAI
Anthropic Claude
PostgreSQL
Grafana
Built on n8n. Equivalent tools can be swapped in.
Human control
A person stays in control at the "Review" step. Everything else runs on rules you agree, with every run logged.
More in AI agents
03
AI agents
RAG knowledge assistant
Staff ask in plain language and get answers with the source attached.
See the workflowAI agents
Tool-using operations agent
An agent completes routine multi-step tasks, pausing for approval where it matters.
See the workflowAI agents
Multi-agent workflows and MCP
Specialist agents share the work, with tools exposed safely through MCP.
See the workflow
Next step
What would you like to improve?
Tell us what is taking too much time, what is difficult to manage, or what you would like your systems to do differently. You do not need a technical specification to start.