Understanding Call Center Costs & Pricing Models

Understanding Call Center Costs
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Introduction: Why You Need a Clear Cost Breakdown

If you manage a call center or are planning to build one for your enterprise, the question is not just “How much will it cost?” — it is “Where does the cost come from?” Understanding the cost structure of a call center gives you the clarity to optimize budget, pricing models, and return on investment (ROI).


1. The Anatomy of Call Center Costs

Every call center cost fall into two buckets:

  • Fixed Costs: Salaries, software licenses, hardware, infrastructure, maintenance
  • Variable Costs: Call volume, peak hours, overtime, cloud usage, telecom bills

Example: Cloud-based centers scale per-minute usage, while on-premise centers face high upfront hardware investments.


2. Cost per Call: What It Really Means

Total Monthly Costs / Total Monthly Calls = Cost per Call

Factors that affect this:

  • Average Handle Time (AHT)
  • Agent productivity
  • Wait time
  • Call deflection rates
  • Number of escalations

3. Comparing Pricing Models: On-Premise vs Cloud vs AI-Powered

ModelUpfront CostScalabilityMaintenanceAI Integration
On-PremiseHighLowHighDifficult
Cloud (Hosted)MediumHighMediumModerate
AI-Powered CloudLowVery HighLowSeamless

4. What’s Driving Up Your Costs?

  • High Average Handle Time (AHT) with no automation
  • Low first-call resolution (FCR)
  • Redundant tier-1 queries handled by agents
  • Unused tech stack subscriptions as part of a legacy solution
  • Static staffing regardless of call load

5. Where AI Redefines Cost Structures

Traditional Call Center → AI-Enhanced Call Center:

  • 70% labor → 40–50% labor
  • Manual QA, forecasting → Access to relevant analytics, auto-QA and dashboard visuals
  • Escalation-heavy workflows → Intent-based triage

6. The Role of Teneo.ai in Restructuring Your Costs

Teneo allows you to:

  • Deflect low-complexity interactions
  • Route smarter, reduce escalations
  • Leverage real-time data to staff precisely
  • Lower average handling time (AHT)

Modeling the Savings Potential

Here’s what the savings can look like when you eliminate misrouted calls, reduce redials, and automate intelligently with a platform like Teneo:

Current status:

  • Total Monthly Calls: 2,540,000
  • Calls Lost Monthly: 120,748 (4.8%)
  • Redial Attempts per Resolution: 2.5
  • Cost per Call: €1.50
  • Agents: 10,000
  • Misrouted Call Rate: 10%
  • Agent Hourly Cost: $30

Estimated Cost Savings:

  • Misrouted Calls Reduction (10%) → $7,299,753
  • Improved Self-Service Automation (20%) → $14,599,506
  • Reduction in Redial Attempts → $109,496,295

Total Annual Savings Estimate: $131,395,554

Still unsure how to connect metrics to business value? Our ROI with AI Agents whitepaper gives you the formula to prove it internally.


7. What Metrics Should You Track to Stay Profitable?

  • Cost per contact (CPC)
  • First call resolution (FCR) 
  • Deflection rate (%)
  • AI vs agent resolution split
  • Call Containtment
  • Customer effort score (CES)
  • Monthly tech ROI

Conclusion: Budget Smarter with Insight, Not Guesswork

Understanding your call center cost structure gives you the power to optimize — not just survive.

With Teneo.ai, it’s not about cutting corners, it’s about cutting inefficiencies.

Explore how Teneo can reshape your cost model


FAQs

What is the typical cost per call in a contact center?

It ranges from $2 to $15 depending on industry, labour, complexity, and whether AI is used. With automation from platforms like Teneo, this number can drop significantly.

How do AI solutions reduce call center costs?

By deflecting routine inquiries, optimizing routing, and lowering average handle time (AHT), AI can restructure how and where money is spent in the call center.

Is cloud-based more cost-effective than on-premise?

Yes, especially when combined with AI. Cloud models offer scalability and reduced maintenance, which leads to lower long-term costs.

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