All case studiesThe First Group

AI Voice Agent Platform

Built an owned AI voice infrastructure for re-engaging, qualifying and prioritising leads at scale.

Sector
Hospitality
Region
Middle East
Hosting
Client’s own cloud
  • AI Voice Infrastructure
  • Lead Requalification Engine
  • Compliance & Model Evaluation

What we built

  1. Thousands of old enquiries are called, and interested buyers are handed to sales.

  2. Your team can replay any Arabic call and read it in English.

  3. Two voice models split the leads until one clearly qualifies more buyers.

  4. Every dial is checked against local hours, consent and do-not-call lists first.

The data shown is invented.

AI Voice Agent Platform: Old leads called again
Old leads called againThousands of old enquiries are called, and interested buyers are handed to sales.
AI Voice Agent Platform: Speaks the buyer’s language
Speaks the buyer’s languageYour team can replay any Arabic call and read it in English.
AI Voice Agent Platform: Which voice works best
Which voice works bestTwo voice models split the leads until one clearly qualifies more buyers.
AI Voice Agent Platform: Each country’s calling rules
Each country’s calling rulesEvery dial is checked against local hours, consent and do-not-call lists first.

The challenge

The First Group had millions of CRM leads that had gone cold or had never been contacted. Existing voice-agent solutions were expensive, offered limited control over performance and data, and were difficult to adapt across markets, languages and regulatory requirements.

What we did

  1. 01

    Built the platform on an open voice infrastructure, giving TFG greater control over models, telephony and deployment.

  2. 02

    Developed multilingual voice agents designed for different markets, languages and regional accents.

  3. 03

    Created a scalable lead-requalification workflow capable of screening large CRM populations and identifying higher-intent prospects.

  4. 04

    Designed jurisdiction-specific controls around calling, data handling and customer engagement.

  5. 05

    Embedded model testing and evaluation so voice, latency and conversion performance could be continuously improved.

Outcomes

  1. 01

    Significantly reduced the cost of operating AI voice agents at scale.

  2. 02

    Created an owned platform rather than relying on a third-party managed service.

  3. 03

    Enabled continuous testing across voice, language and model configurations.

  4. 04

    Improved the ability to re-engage dormant leads and surface higher-intent prospects.

  5. 05

    Strengthened control over data, infrastructure and market-specific compliance.

Lower Cost

owned infrastructure designed for high-volume calling

Scalable

lead requalification across large CRM populations

Controlled

models, data and deployment remain within TFG’s environment

TFG now has greater control over the cost, performance and governance of AI-led customer engagement.

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ronak@tenra.ai

Ronak DineshkumarCo-founder

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