Live product experience

From one customer message to one audit-ready report.

This page is the focused product story. Choose a workflow, send a real input, and watch Redisq capture runtime activity, detect risk, and generate something your team can review immediately.

Real support-chat simulation PII leak mitigation in view Report artifact generated live

Customer support workflow

See the risk inside a realistic conversation

Awaiting session Idle

My SSN is 123-45-6789 and I need help.

I can help with that. I’ll guide the customer safely and avoid echoing sensitive details back in chat.

Redisq detected PII, attached evidence to the session, and kept the sensitive value out of the agent reply.

Live customer input

My SSN is 123-45-6789 and I need help.

PII mitigation

SSN detected and safely handled

Redisq highlights risky data the moment it appears, attaches evidence, and helps prevent it from being echoed back to the customer.

Runtime trace

One ordered review surface

Customer input, model activity, and evidence stay attached to the same workflow from first message to final report.

Finding evidence

No finding yet

Not available

Report artifact

Run the flow to generate the report

Awaiting report

The final report will summarize the workflow, findings, and risk level for review.

Risk score 0

Total findings 0

Guided Demo

Run the flow in order

The product side stays visual while this control rail drives the live workflow.

Admin Token Used once to create the project and project key. Project Name The app or workflow Redisq will monitor. Environment Separates production traffic from staging or test traffic.

Try your own input

Paste the exact customer message you want to test

This feeds the support chat preview and becomes the live user.input event that Redisq evaluates.

Customer Input

Self-Serve Onboarding

Pick one workflow and get to value fast

Ideal for founder-led demos, design partners, and first integrations.

Choose a workflow Workflow Type

Best for customer support conversations where you want to inspect customer input, model responses, and risk findings.

What to send first

user.input
llm.request
llm.response

Start narrow. Prove the trace, the finding, and the report before expanding the scope.

First win

Project created
Project key created
First event received
First report generated

Copy-Paste Starter

Backend snippet for your first event

Live state

Current demo state

Project ID Not created yet

Project Token Not created yet

Session ID Not started yet

Risk moment

No active risk detected yet

Send the customer event to show how Redisq creates a finding, scores the session, and explains the evidence.

Risk Score 0

Risk Level Low

Finding None

Step 1

Session summary

Status Waiting

User Not available

Risk Low

View raw session JSON

No session loaded yet.

Finding log

Findings summary

Severity Waiting

Type No finding yet

Evidence Not available

View raw findings JSON

No findings yet.

Raw report

Inspect the generated payload

No report generated yet.

Execution timeline