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Wayam AI

Contact Center Enterprise

Verified outcome

One voice platform across 4,000 agents, at 60% lower cost to serve

A four-thousand-agent voice estate cut cost-to-serve by about sixty percent and lifted NPS fifteen points on one platform.

At a glance

Industry
Contact Centers
Accelerator
Vakyam
Scenario
High-Volume Customer Billing & Support Automation in Telecommunications
Basis
Delivered engagement
reduction in cost-to-serve
0%reduction in cost-to-serve
NPS lift
0-ptNPS lift
agents supported
0agents supported

These figures are from a delivered engagement. They are labelled verified so they are not confused with the representative scenarios in the library below.

Contact center proof visual with conversation intelligence signals and agent assist cards

The situation

Dialers, CRM, and the warehouse ran in silos, so thousands of agents had no real-time voice intelligence layer.

What we did

Deployed the Vakyam voice accelerator: dialer integration, live CRM/lake sync, agent assist, and 100% QA.

Run on Vakyam.

What changed

  • 01

    Every call entered one intelligence layer instead of three disconnected systems.

  • 02

    Agents received live guidance; QA covered the full estate rather than a sample.

  • 03

    Structured voice insight reached CRM and the lake while the conversation was still useful.

How it works

The engagement ran on Vakyam, which works in four stages.

  1. 01

    Connect the voice stack

    Integrate dialers and CCaaS platforms so every inbound and outbound call enters the mesh live.

  2. 02

    Understand in the moment

    Transcription, intent, and sentiment run in real time with speaker separation and PII redaction.

  3. 03

    Assist and escalate

    Agents get next-best-action; at-risk conversations route before they churn.

  4. 04

    Sync CRM and the lake

    Structured insight writes back to CRM, warehouse, and lakehouse systems as the call unfolds.

Technology and capabilities

Voice & TelephonySystem ConnectorsWorkflow OrchestrationAutonomous ExecutionPolicy & ComplianceEvidence & Audit TrailExotelGenesysAmazon ConnectTwilioSalesforceSnowflakeDatabricks

Ask us next

Where do dialer, CRM, and warehouse handoffs still force agents to work without live context?