Case Study · AI Voice Agent

Custom AI Voice Agent closes the speed to lead gap.

How a bespoke AI Voice Agent transformed top of funnel operations from a manual grind into an automated outreach engine.

Client Oracle Merchant Services

Published Updated

Industry
Fintech · Merchant Services
Service
AI Voice Agent
Platform
Voice Synthesis + NLU
Key Metric
10+ FTE Equivalent Output
Client
Oracle Merchant Services
Sector
Fintech · Merchant Services
Engagement
Custom AI Voice Agent Build
Tech Stack
Voice Cloning, NLU, CRM Integration
Key Result
Zero Lead Decay
The Challenge

In merchant services, a lead goes cold in minutes.

Oracle Merchant Services faced a challenge familiar to many high growth financial service providers: the speed to lead gap.

  • 01

    Speed to lead gap: in the competitive merchant services industry, a lead can go cold within minutes of first contact.

  • 02

    Manual bottleneck: cold outreach and qualification work led to inconsistent follow ups and missed opportunities.

  • 03

    Headcount ceiling: scaling lead generation meant either hiring aggressively or accepting slower coverage.

  • 04

    Brand risk: any automation had to keep the personal touch that defines the Oracle Merchant Services brand.

Croncore's Approach

A seamless extension of the existing sales team.

We partnered with Oracle Merchant Services to build a bespoke automated AI Voice Agent, designed to be a natural extension of the team rather than a robotic dialer.

01

Voice Cloning & Persona

Used advanced voice synthesis to model the agent after an actual employee's voice, keeping outreach familiar and on brand.

02

Knowledge Integration

Trained the agent on the company's service offerings, industry terminology, and common merchant pain points.

03

Autonomous Outreach

Programmed the agent to handle high volume outbound calling, identify decision makers, and deliver a tailored pitch.

04

Smart Qualification

Built a logic layer that qualifies prospects in real time, passing only high intent leads to the human closing team.

How We Worked

A five step path from problem to production.

A repeatable delivery method we run on every AI engagement, tuned to this project's data, integrations, and quality bar.

01

Discover the problem

We map the workflow, data, and KPIs that show exactly where the manual process breaks down.

02

Design the system

We architect the agent, model, or pipeline and choose the integration points into your existing tools.

03

Build & train

We develop the engine, fine tune it on your real data and voice, and wire it into production systems.

04

Test & harden

We validate quality, edge cases, and failure modes before anything touches a real customer.

05

Launch & scale

We ship to production with monitoring in place, then iterate based on real usage.

The Outcome

A manual grind turned into an automated engine.

By implementing the AI Voice Agent, Oracle Merchant Services transformed its top of funnel operations end to end.

10+
FTE equivalent outreach without added headcount.
0s
Lead decay, every new contact reached instantly.
100%
Brand consistent pitch on every single call.
High Intent
Handoffs only, so reps focus on closing.
Let's Talk

Have an AI project like this in mind?

Croncore designs and ships production AI systems, agents, voice engines, and custom models end to end, with the engineering rigor production systems demand.

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