Use case

Feedback Management AI Agent

Collects feedback, auto-tickets issues, sends proactive updates, and feeds dashboard intelligence.

Problem

Feedback loops break at scale, slowing issue resolution and hurting customer trust.

What the agent does

  • Feedback collection and auto-ticketing.
  • Proactive status updates across channels.
  • Live dashboard intelligence for trends and issues.

Channels supported

WhatsApp · Chat · Phone

System integrations

Connects securely to your systems of record, including Freshworks, CRMs, via controlled, policy-based access.

Guardrails & human handoff

Supervision keeps responses policy-aligned and monitors SLA adherence.

Every interaction is supervised by an AI supervisor that keeps responses on‑policy and escalates when human approval is needed.

Implementation approach

We design the workflow, integrate the tools, and launch a monitored pilot before scaling to full production.

Impact

Approximate impact based on typical deployments. Final results vary by workflow, data quality, and channel mix.

  • 10X faster response time
  • 10X higher throughput per agent
  • 80% – 90% lower manual effort
  • 3X - 5X improvement in lead or case handling capacity

Where teams feel the lift

Higher SLA compliance, fewer handoffs, and tighter control over customer communications with supervision baked in.

Implementation timeline

Discovery

Define workflows, policy constraints, and business outcomes.

Integration

Securely connect to systems of record with controlled access.

Pilot

Launch AI-supervised pilot with real-time monitoring.

Rollout

Scale across channels with continuous optimization.

Deploy an AI-supervised agent for your highest-volume workflow.

We consult, design, build, and manage the agent end-to-end.