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Agentforce, Conversational AI, Copilot, Sandboxing

How an Automotive Enterprise Evaluated Conversational AI at Scale

Illustration of conversational AI testing in a sandbox environment for automotive enterprise

How one of North America’s top dealership groups tested and refined their conversational AI strategy—before going live.

Every bold idea deserves a safe space to take shape. That’s why we offer conversational AI testing services built on sandboxing—a structured, risk-free environment where enterprise teams can experiment, explore, and learn before deploying anything into the real world. It’s where innovation meets precision, where “what if” becomes “now we know.”

One of North America’s most recognized automotive dealership groups came to us with a vision: transform their high-volume contact center by introducing Intelligent Virtual Assistants (IVAs). Their goal? More self-service options, fewer manual calls, and a smoother experience for both agents and customers.

But before investing in a full-scale rollout, they wanted clarity. Could today’s AI solutions meet their standards? Would the platforms work with their existing tech stack? And most importantly—how would this all perform in real-world conditions?

Project Summary

This project gave a major automotive retailer the ability to evaluate multiple conversational AI platforms in a safe, isolated environment. Through sandbox testing, they validated use cases, uncovered key limitations, and built a roadmap aligned with their tech stack and customer experience goals.

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Use Cases

Validation of Conversational AI for Seamless CRM Integration

business

Industry

Automotive

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Platform Explored

Amazon Lex

Microsoft Copilot

Salesforce Agentforce (Chat)

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Tech Stack

Salesforce Lightning

Cisco UCCX

See It in Action: Sandboxing for Conversational AI

The Challenge

As this top-tier automotive retailer set out to modernize its customer service operations, it became clear that simply deploying conversational AI wouldn’t be enough—they needed proof. With growing call volumes, a legacy IVR system, and the pressure to integrate with complex systems like SAP CRM and Avaya, the stakes were high. The challenge wasn’t just technical—it was strategic. They needed a clear, risk-free path to explore, test, and validate the right platforms before making any long-term commitments.

  • Introduce Conversational AI IVAs to automate tasks like scheduling, canceling, and checking appointment status.
  • Reduce agent workload by increasing self-service options for customers.
  • Improve service efficiency and consistency across dealership locations.
  • Explore future integration with Salesforce Voice for real-time voice enhancements.

  • Current system relied on a rigid IVR and phone tree, limiting automation potential.

  • No internal experience with Conversational AI platforms or testing environments.

  • Needed integration with SAP CRM and Avaya ACCS, adding complexity.

  • Required support for caller ID masking to reflect local dealership locations.

  • Limited internal resources to manage research and prototyping.

  • Which IVA platforms (Lex, Copilot, Agentforce) could best support their needs.

  • Whether current solutions could perform reliably in real-time use cases.

  • If these platforms would integrate well with existing CRM and voice systems.

  • Whether now was the right time to launch—or if waiting made more sense.

A Risk-Free Environment to Test What’s Possible

What We Delivered Through Sandboxing

We built a real-world testing environment that closely mirrored the customer’s IVR and backend systems, fully isolated from production. This allowed them to explore, validate, and refine AI and automation strategies without the risks of a live rollout.

Platform Fit Evaluated

Amazon Lex Microsoft Copilot Salesforce Agentforce (chat only)

Caller ID Masking

Simulated outbound calls reflecting the customer’s local dealership presence

Key Use Cases

Appointment scheduling

Customer profile lookup

Escalation workflows

Scenario Analysis

Multi-round platform testing Latency evaluation Integration readiness

The Results

Clarity, Confidence, and a Smarter Path Forward

Identified latency in Amazon Lex and Microsoft Copilot, ruling them out for real-time use

Evaluated Salesforce Agentforce Voice as promising, but not yet voice-ready

Avoided premature investment by delaying rollout based on real performance data

Built a strategic roadmap, aligning platform choice with technology readiness

Planned a Q4 pilot of Salesforce Voice, supported by internal stakeholders

Strengthened executive confidence through structured sandbox testing and data-driven insight

Why Choose AMC Technology for Sandboxing?

When you partner with AMC Technology, you get more than just a testing environment—you gain a strategic partner with deep expertise in contact center solutions, AI integrations, and automation.

Industry-Leading Expertise

Deep knowledge in customer experience technologies and AI integration solutions.

Tailored Environments

Custom sandbox environments that mirror your production systems for realistic testing.

Collaborative Approach

Hands-on guidance from setup to deployment with your team’s involment.

Faster Time-to-Value

Streamline the journey from prototype to production with our efficient process.

Reduced Risk

Minimize implementation risks through iterative testing, validation, and optimization

Comprehensive Documentation

Detailed repot and documentation to support your decision

Frequently Asked Questions

Our Sandboxing Service includes a secure environment setup, iterative testing of your AI, automation, and integrations, a validated working prototype, a testing results summary, and a prototype-to-production transition plan.

Organizations that want to test AI solutions before committing to implementation, validate feasibility, or refine their use cases prior to going live benefit the most from our sandboxing service.

While timelines depend on complexity, most projects are completed within a few weeks to a few months, following a structured phased approach.

It removes the guesswork. Sandboxing lets you validate platform performance, assess integration fit, and uncover limitations—so you can make smart decisions before investing in full-scale deployment.

We help you evaluate popular IVA and AI tools like Amazon Lex, Microsoft Copilot, Salesforce Agentforce, and more—tailored to your tech stack and use cases.

Not at all. While many of our clients are enterprise-scale, sandboxing works for any organization that wants to de-risk AI, CRM, or contact center innovation through guided experimentation.

What’s holding you back?

Let us uncover use cases and tackle your unique call center challenges

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