Financial Services Case Study

AI-Driven Omnichannel Contact Center

How a financial services organization transformed its telemarketing infrastructure across the US and Mexico with cloud telephony, AI routing, campaign intelligence, and real-time customer verification.

+58%

Contact Rate Increase

+126%

Conversion Growth

-35%

Call Duration

2

Countries

Industry Context

The financial services sector relies heavily on regulated telemarketing operations to distribute credit, insurance, and banking products. Organizations must balance strict compliance requirements with the need for efficient customer engagement. Traditional call center environments struggle with fragmented CRMs, inefficient outbound dialing, and long inbound wait times.

The company operates with two entities, one in each country, both with multi-institution distribution channels for financial products. Customer acquisition and service occur through an omnichannel environment — telephone, SMS, email, web forms, and chat in the US, with WhatsApp additionally in Mexico.

The Challenge

Low contact rates, fragmented systems, and compliance complexity across two markets

Low rates

Low outbound contact rates and inefficient dialing strategies across both markets

Long queues

Inbound wait times reducing customer satisfaction and agent productivity

Fragmented

Multiple CRM systems across banking institutions with no unified integration

Compliance

FTC/TCPA in the US and CONDUSEF/PROFECO in Mexico with 5-year recording retention

Call Distribution

How call volume is distributed across channels in each market.

USA

Outbound Cold Call 23%
Inbound Marketing Call 43%
Inbound Service 21%
Inbound Bank Routed 13%

Mexico

Outbound Cold Call 45%
Inbound Marketing Call 26%
Inbound Service 17%
Inbound Bank Routed 12%

Key Technology

The core components powering the omnichannel transformation.

01

Cloud Telephony

Asterisk Vicidial infrastructure deployed on AWS with SIP and RTP streaming.

02

MCP Orchestration

Campaign orchestration server using Claude CLI for intelligence and routing.

03

AI Voice Agents

OpenAI-powered voice agents for automated customer verification.

04

AI Messaging

Agents for SMS, chat, and email analysis with automated responses.

05

Smart DID

Self-trained algorithm for caller ID management and contact optimization.

06

Multi-CRM Integration

Dynamic integration across multiple banking institutions and financial products.

Implementation Roadmap

From cloud infrastructure to AI-powered optimization.

1
Phase 1

Cloud Telephony & Infrastructure

Deployed a cloud-native architecture on AWS with Asterisk Vicidial telephony servers providing the communication core. Built omnichannel communication layers supporting phone, SMS, email, web forms, chat, and WhatsApp (Mexico).

  • SIP client provider and RTP streaming service deployment
  • Audio bridge service with G.722 and G.711 codec support
  • VoIP server infrastructure on Asterisk
  • Omnichannel routing for phone, SMS, email, chat, and WhatsApp
2
Phase 2

AI Campaign Intelligence

Built an MCP campaign orchestration server using Claude CLI for intelligent campaign processing, call routing, and analytics. Integrated multiple CRMs into a dynamic model to offer a broader range of financial products.

  • MCP campaign server with Claude CLI for campaign processing
  • Dynamic CRM integration across multiple banking institutions
  • Call routing and analytics orchestrator
  • Analysis of dialing strategy patterns and predictability in outbound campaigns
3
Phase 3

AI Voice & Messaging Agents

Integrated OpenAI voice agents for automated data-verification conversations and AI messaging agents for conversation analysis and auto-responses across SMS, email, and chat channels.

  • OpenAI Real-Time API integration for AI voice verification
  • AI messaging agents for SMS, chat, and email analysis
  • Conversation classification by tone, request type, customer age, and client status
  • Dynamic scripting integrated with real-time data capture forms
4
Phase 4

Smart Routing & Optimization

Implemented a self-trained Smart DID algorithm for caller ID management and AI-driven agent routing based on operational authorizations and institutional constraints.

  • Self-trained Smart DID algorithm for call identity optimization
  • Efficient agent routing based on authorization constraints
  • Pre-contact data attribute analysis for call prioritization
  • Contact center human agent management system

The Results

USA — 6 Months

Progressive improvement across key metrics

Contact Rate 16.5% → 26.0%
Conversion Rate 2.2% → 5.2%
Call Duration -35% reduction

Mexico — 4 Months

Rapid ramp-up with WhatsApp integration

Contact Rate 14.0% → 20.0%
Conversion Rate 2.1% → 3.9%
Call Duration -27% reduction

Strategic Impact

The integration of AI orchestration and omnichannel communications enabled the organization to move from a reactive contact-center model to a predictive engagement platform. Campaign intelligence improved prioritization, while automated verification reduced call duration and improved compliance.

This case demonstrates how AI-driven orchestration, combined with cloud-based telephony infrastructure, can transform regulated telemarketing operations. By integrating conversational AI, predictive campaign management, and omnichannel routing, organizations can dramatically increase efficiency while maintaining regulatory compliance.

Want Results Like These?

Every transformation starts with a conversation. Let's diagnose where your contact center operations are stuck and build a plan to scale.

View Plans