TL;DR
Calculate AI support ROI by measuring cost per conversation before and after, resolution rate improvements, CSAT changes, and agent time freed for complex queries. Most brands see 40-60% cost reduction within 90 days while maintaining or improving satisfaction scores.
Every CX leader has heard the pitch: 'AI will save you money and improve customer satisfaction.' But when it comes to building an actual business case, vague promises are not enough. You need numbers.
We have pulled data from Certainly customers across e-commerce, financial services, and gaming to build a practical ROI framework you can adapt to your own operation.
The cost-per-resolution equation
Start with your current cost per resolution. Most support teams spend between €8 and €25 per ticket when you factor in agent salary, tools, training, and management overhead. AI resolution typically costs between €0.09 and €0.30 per conversation.
If you handle 10,000 support conversations per month and AI resolves 40% of them, that is 4,000 conversations shifted from an average of €12 each to €0.15 each. Monthly saving: €47,400. Annual saving: €568,800.
Beyond cost savings: revenue impact
Feastables, a Certainly customer, found that their AI agent drove 6.5% of total revenue, equating to $6.24M USD. Customers who interacted with the agent had a 20% higher average order value. This is not cost reduction. This is revenue generation.
The lesson: AI agents are not just cheaper support. They are a sales channel.
The containment rate trap
Containment rate, the percentage of conversations handled without human intervention, is the most common metric. But it can be misleading. A 90% containment rate means nothing if the AI is just deflecting customers rather than resolving their issues.
Focus on resolution rate instead. Fintiba achieves a 97% containment rate with genuine resolution, meaning customers actually get their problem solved. The industry average for traditional chatbots is below 65%.
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Building your business case
Start with three numbers: monthly conversation volume, current cost per resolution, and target AI resolution rate. Multiply the difference. Then layer on revenue impact, reduced agent burnout, and 24/7 coverage. The case builds itself.