How to build a business case for contact center automation

By Trevor Jonas
July 14, 2025

The best time to build your business case for automation? Before budget season, before peak volume, and before your human agents are overwhelmed.

“If you work with customers via phone/chat/email with any degree of consistency, you need to figure out your AI agent roadmap, pronto,” said customer experience strategist, researcher, and author Jay Baer.

Whether you're already considering AI agents or just beginning the research phase, a compelling business case is your ticket to internal buy-in. This guide walks through the five most important steps for making the financial, operational, and experience-driven argument for contact center automation.

1. Identify the right use cases

Start with repeatable, high-volume interactions that follow clear workflows:

  • Order status
  • Appointment scheduling or rescheduling
  • Password resets
  • Payment processing or updates
  • Basic troubleshooting

A good candidate for automation is one where:

  • Agents handle it frequently
  • Resolution is consistent and doesn’t vary much
  • The escalation rate is low

Pro tip: If your team is bored of answering it, your AI agent will be great at handling it.

Want to know what’s automatable? Use our ROI calculator to test call types by volume and handle time.

2. Quantify the opportunity with real numbers

Even a modest automation initiative can drive outsized impact. Here’s what to gather:

  • Monthly call volume
  • % of calls eligible for automation (start with 40–60%)
  • Average handle time (AHT)
  • Agent hourly cost or cost per call

Plug those into the Replicant ROI Calculator and you’ll see:

  • Annual labor cost savings
  • Cost per call difference (AI vs. live agent)
  • Headcount offset without layoffs
  • Peak coverage without extra hiring

“Implementing Replicant at Sunrun has pretty much paid for itself,” said Stetson Wood, former Director of Engineering and Communications Domain Owner at Sunrun. “Not only have we been able to save money with the number of agents that we have on the phone, but the service is collecting money.”

3. Frame benefits beyond cost savings

Yes, automation saves money. But a strong business case highlights secondary value drivers too:

Operational benefits

  • 24/7 support (nights, weekends, holidays)
  • Immediate scale-up during high volume
  • Reduced reliance on seasonal or outsourced staffing

Experience benefits

  • Lower wait times
  • More consistent CX across agents and shifts
  • Fewer repeat calls from frustrated customers
  • Happier agents who aren’t stuck on repetitive tasks

Bonus: With Replicant’s built-in Conversation Intelligence, you also get insights across 100% of calls.

4. Anticipate and address real objections

You’re not just pitching ROI, you’re handling skepticism. Here are actual objections we hear, and how to counter them:

Objection Response
“We’ve tried IVRs or bots before, and they didn’t work.” That’s not what this is. AI agents are fully conversational, understand nuance, and resolve complete issues.
“We don’t want to replace our agents.” And you don’t have to. AI replaces repetitive tasks, so agents can handle complex, strategic conversations. It also eliminates the stress of having to hire seasonal agents during peak periods.
“Our use cases are too complex to automate.” AI agents today handle everything from insurance claims to roadside emergencies, delivering full-call resolution for some of the largest enterprises in the world. The key is selecting the right entry point.
“How do we prove it’s working?” Replicant provides real-time performance data, including things like automation rates, CSAT, cost savings, and more. None of this will be done by relying on guesswork.
“We don’t have the resources to manage this.” You don’t need to. Replicant provides on-going support for implementation, training, and optimization from a team of experts who have deep experience.
“We can build this internally.” Internal builds often underestimate the complexity of maintaining AI performance over time. All models are being released at a breakneck pace, meaning it’s one thing to build it, and another altogether to maintain it and keep it current. Replicant will ensure our AI continuously evolves to meet business needs and delivers measurable value without hidden fees or surprise costs.

5. Package the pitch internally

Once your analysis is complete, build a single-slide summary with:

  • Projected ROI (based on your own inputs)
  • Use cases + call volumes
  • Before/after call workflows
  • Escalation safety nets
  • Proposed timeline or pilot scope

Pro tip: Loop in Finance and Ops early. The best business cases are built with stakeholders, not for them.

The bottom line

Building the business case for contact center automation isn’t about selling tech. It’s about reducing cost, elevating service, and making your operation future-ready.

And with the right use case, the ROI isn’t hypothetical, it’s measurable, provable, and fast.

Want to build your own case?

Try the ROI calculator to run your numbers, or book a demo to map out your use case.

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”We have resolved over 125k calls, we’ve lowered our agent attrition rate by half and over 90% of customers have given a favorable rating.”

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