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Show us a workflow
Synthetic demo

Customer Escalation Agent demo.

This synthetic demo shows one Jinova workflow: an agent investigates a customer-impacting issue across support tickets, customer records, product metrics, engineering issues and runbooks, then produces an evidence-backed outcome for human review.

Jinova AI governed investigation workspace showing root cause analysis, approved evidence sources, and business impact

Synthetic data. No customer data. No production credentials.

The scenario

“A key customer reports dashboard slowness and API timeouts.”

The agent gathers context from

Support ticketsCustomer recordsEngineering issuesProduct metricsRunbooksInternal documents

The agent produces

  • Evidence-backed summary
  • Likely cause and owner
  • Evidence trail
  • Recommended next actions
  • Draft customer update
  • Approval checkpoint

What this demo is — and is not

The public demo is a self-contained illustration of the workflow. It does not connect to any live system.

  • Synthetic data only
  • No customer data
  • No production credentials
  • No uncontrolled system access
  • Read-only by default
  • Human approval before any action
Jinova AI governed investigation flow showing policy checks, approved systems queried, and context minimisation
The governed workflow run. Identity, policy, approved systems queried and context minimised — every step recorded for audit.
Jinova AI recommended next actions and a draft customer update held for human review
Evidence-based outcome, held for review. Recommended actions and a draft customer update — nothing is sent without human approval.
Get started

Show us a workflow.

Tell us about one workflow that costs your team hours, and the model environment you're exploring. We'll walk you through this demo and what an agent would do for your workflow.

Prefer email? Reach us directly at info@jinovaai.com.

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