Live walkthroughs
Click through the product.
Real workflows, real screens.
Ten interactive walkthroughs grouped by what they show. End-to-end use cases, authoring, the trust and risk control plane, and the adoption pattern for teams that already run their own orchestrator. Each scene mirrors a real surface. The inline buttons advance the walkthrough.
1 of 5
End-to-end use cases
Real workflows from question to write to audit. Each one spans multiple Engines and surfaces.
ML scenario · headline
Predict project slip with explainable drivers
Run ps-predict-slip-weeks on a single project. Watch the prediction card stream in. KPI tiles, project context, narrative, top-driver waterfall, then file the Action Item.
Start walkthrough →Chain reaction
Defect handling: email → SAP QM → ServiceNow → reply
An RMA email triggers an eight-step Chain. PDF intake, the first HITL gate, SAP Q3 notification, ServiceNow incident, drafted reply, the second HITL gate, and the send.
Start walkthrough →Conversational
Question → chart → follow-up → drill
Ask a revenue question, watch the chart stream with cited SQL, click a pre-validated follow-up, then drill into a single customer. Same conversation, three angles.
Start walkthrough →Vertical · IATF 16949
PPAP submission to a defensible audit row
A Tier-1 supplier emails a PPAP Level-3 package. Intake extracts Cpk + gauge R&R. Policies flag MSA missing. The quality engineer approves with conditions. The PPAP record lands hash-chained.
Start walkthrough →Document AI · Order Entry
Purchase order email → SAP sales order in 7 steps
An inbound PO email arrives, the AI extracts and validates every field against SAP master data, a reviewer approves with a documented rationale for any price correction, and the SAP sales order is created — full audit trail on every step.
Start walkthrough →2 of 5
Authoring
Build with the platform. By describing it, or by drawing it.
Compose
Describe a Skill. An agent drafts it. Commit
An analyst describes a saved query in plain English. Compose decomposes it into a Skill + Formula + View. Multi-turn refinement pins a cheaper model and adds a try-catch. Commit publishes.
Start walkthrough →Designer
Build a Formula with branches, loops, and recovery
Start in the NL pane. Compile to a step tree. Add forEach (capped). Add a branch on P(at-risk). Wrap a step in tryCatch. NL ↔ Visual stay in sync the whole time.
Start walkthrough →3 of 5
Trust, risk, and routing
How the platform governs every LLM call and every Reaction underneath.
Trust Layer
Three prompts, three denials, before the model is touched
PII redacted, prompt-injection blocked, classification cap denied. Three Trust Events land in the ledger. Every gate fires in-line and on the record.
Start walkthrough →Risk + HITL
High risk pauses itself · low risk runs
Two Reactions side-by-side. A read lands green and runs. A USD 48k SAP write breaks the 60-point threshold, auto-routes to the Inbox with the policy match attached, and waits for an operator note.
Start walkthrough →Models · routing
The right model for each step. No code
Define five Profiles. Bind them to scopes via the precedence chain. One Reaction fires four LLM calls. Each resolves to a different model. The spend dashboard groups by profile, engine, and tier.
Start walkthrough →4 of 5
Adoption pattern
Quadrazene fits two ways: the whole product, or a tool called from your own framework.
5 of 5
SecOps
Security isn't a checkbox. It's a use case. Three walkthroughs put Quadrazene into a SecOps loop.
SecOps · response
Failed-login + SoD correlation → revoke
A SIEM alert correlates with two SoD-relevant Actions by the same actor in the same window. HITL approves. Sessions revoke. MFA is forced. A ServiceNow P2 incident files. One immutable Reaction.
Start walkthrough →SecOps · certification
Quarterly access review with one-click evidence
A scheduled Chain pulls privileged roles and last-used data. Dormant accounts and drift surface. Owners sign in the Inbox. An evidence pack hands off for the auditor to re-verify offline.
Start walkthrough →SecOps · AI defense
AI red-team forensics: hunt the long tail
30 days of Trust Events cluster into three patterns. A suspect service-account surfaces. A new base64-decoded filter commits with zero false positives across 14k prompts.
Start walkthrough →How these were built
Real seed data. Real reactions. Real audit.
From the live product
Skills, Chains, ViewSpecs, ML models, atoms, and policies referenced here come straight from the Quadrazene app.
Same primitives
mailbox-poller, intake-pdf-extract, sap-executor, nl-to-sap-action, policy-evaluator. These aren't drawings. They ship.
Reproducible end-to-end
Every scene corresponds to a step in a real Reaction with token, latency, and audit telemetry.
Run these on your own data.
We'll point Quadrazene at a sample of your warehouse and ERP and walk through any of these scenarios live with your data.
Request a demo