{"id":37377,"date":"2026-10-20T08:00:00","date_gmt":"2026-10-20T06:00:00","guid":{"rendered":"https:\/\/pegamento.nl\/niet-gecategoriseerd\/how-do-you-compare-the-costs-of-ai-customer-contact-with-human-handling\/"},"modified":"2026-10-21T11:40:01","modified_gmt":"2026-10-21T09:40:01","slug":"how-do-you-compare-the-costs-of-ai-customer-contact-with-human-handling","status":"publish","type":"post","link":"https:\/\/pegamento.nl\/en\/contact-center\/how-do-you-compare-the-costs-of-ai-customer-contact-with-human-handling\/","title":{"rendered":"How do you compare the costs of AI customer contact with human handling?"},"content":{"rendered":"<div id=\"bsf_rt_marker\"><\/div><p>You compare the costs of AI customer contact with human handling by calculating the total cost price per contact for both models, including direct personnel costs, technology investments, overhead, and indirect costs. Only when you calculate both models in the same way do you get a fair picture. For most organizations: AI is cheaper for high volumes and repetitive questions, but human handling remains necessary for complex or emotionally sensitive contact moments. In this article, we answer the most frequently asked questions about how to make this comparison fair and complete.<\/p>\n<h2>Which cost items count in human customer contact handling?<\/h2>\n<p>The actual costs of human customer contact handling are significantly higher than just an employee&#8217;s gross salary. The full cost price includes personnel costs, overhead, training, absenteeism, workplace costs, and management capacity. Many organizations underestimate these total costs by twenty to forty percent because they only look at direct wage costs.<\/p>\n<p>A realistic cost overview includes the following items:<\/p>\n<ul>\n<li><strong>Gross salary and employer costs:<\/strong> including pension contributions, social security contributions, and any allowances for irregular shifts<\/li>\n<li><strong>Recruitment and onboarding costs:<\/strong> vacancy costs, selection processes, and the productivity build-up of new employees<\/li>\n<li><strong>Training and quality assurance:<\/strong> initial training, further education, and coaching capacity<\/li>\n<li><strong>Absenteeism and turnover:<\/strong> replacement, extra hiring, and knowledge outflow in case of high staff turnover<\/li>\n<li><strong>Workplace costs:<\/strong> housing, hardware, telephony, and licenses for supporting systems<\/li>\n<li><strong>Management overhead:<\/strong> team leaders, planners, and quality managers who direct the operation<\/li>\n<\/ul>\n<p>If you add up all these items and divide them by the number of handled contacts, you get the actual cost price per human contact. This figure is the basis for any fair comparison with AI.<\/p>\n<h2>What are the actual costs of AI in customer contact?<\/h2>\n<p>The actual costs of AI in customer contact consist of platform licenses, implementation costs, integration efforts, management, and ongoing optimization. The initial investment is often higher than expected, but the variable costs per contact are structurally lower than with human handling, especially when scaling up.<\/p>\n<p>For AI customer contact, calculate with the following cost components:<\/p>\n<ul>\n<li><strong>Platform licenses or usage costs:<\/strong> depending on the model, you pay per interaction, per month, or per user<\/li>\n<li><strong>Implementation and integration:<\/strong> the one-time investment to link AI to existing systems such as your CRM, knowledge base, and contact center platform<\/li>\n<li><strong>Data preparation and training:<\/strong> setting up knowledge models, training on your specific processes, and validating outcomes<\/li>\n<li><strong>Management and monitoring:<\/strong> the human capacity that remains necessary to monitor, adjust, and improve AI performance<\/li>\n<li><strong>Escalation costs:<\/strong> contacts that AI cannot handle and are forwarded to a human employee<\/li>\n<\/ul>\n<p>A critical point: AI costs are partly fixed and partly variable. With a low contact volume, the fixed costs can negate the savings. With a high volume, the costs per contact drop sharply because AI is virtually infinitely scalable without a proportional increase in costs.<\/p>\n<h2>How do you calculate the cost price per contact for both models?<\/h2>\n<p>You calculate the cost price per contact by dividing the total costs over a period by the number of handled contacts in that same period. Do this for both the human and the AI model separately, and use the same contact definition and time period to compare apples with apples.<\/p>\n<p>For the human model: add up all personnel, overhead, and technology costs and divide by the total number of handled contacts. Take into account average handling time, after-call work time, and the share of repeat contacts.<\/p>\n<p>For the AI model: add up platform, implementation, and management costs and divide by the number of contacts that AI handles completely. Add the escalation costs for contacts that still end up with an employee. The result is the average cost price per AI contact, including cases where AI falls short.<\/p>\n<p>A good <a href=\"https:\/\/pegamento.nl\/en\/business-analysis\/\">business analysis<\/a> makes this calculation concrete and records the assumptions transparently, so you can create internal support for the outcomes.<\/p>\n<h2>Which factors determine when AI is cheaper than a human agent?<\/h2>\n<p>AI is cheaper than a human agent when the contact volume is high, the questions are repetitive and well-defined, and the automation rate exceeds sixty to seventy percent. Below that threshold, the fixed AI costs often do not outweigh the savings.<\/p>\n<p>The main factors determining the tipping point are:<\/p>\n<ul>\n<li><strong>Contact volume:<\/strong> the more contacts, the lower the fixed AI costs per interaction become<\/li>\n<li><strong>Repetition rate:<\/strong> if a large part of the questions keeps recurring, automation is immediately profitable<\/li>\n<li><strong>Complexity of questions:<\/strong> simple status questions, FAQ handling, and form processing lend themselves well to AI; complex complaints or legal questions less so<\/li>\n<li><strong>Available data and system integrations:<\/strong> AI performs better when it has access to up-to-date customer data and integrated back-office systems<\/li>\n<li><strong>Quality of the knowledge base:<\/strong> poorly structured information leads to lower automation rates and higher escalation costs<\/li>\n<li><strong>Personnel costs in your sector:<\/strong> in sectors with high wage costs or structural shortages, the payback period for AI is shorter<\/li>\n<\/ul>\n<p>Keep in mind that AI and human employees are complementary in most organizations, not interchangeable. The question is not whether you choose one of the two, but what part of the contact volume you can efficiently automate.<\/p>\n<h2>What revenues and savings can you include in the business case?<\/h2>\n<p>In a business case for AI customer contact, you may include indirect revenues in addition to direct cost savings, such as higher customer satisfaction, fewer repeat contacts, lower absenteeism costs due to reduced employee workload, and improved accessibility outside office hours. These soft benefits are real but require realistic estimates.<\/p>\n<p>Direct savings you can quantify:<\/p>\n<ul>\n<li>Reduction in the number of FTEs needed for repetitive contacts<\/li>\n<li>Lower hiring costs for peak periods because AI scales flexibly<\/li>\n<li>Shorter average handling time through AI support of human employees<\/li>\n<li>Fewer errors and rework through automated data processing<\/li>\n<\/ul>\n<p>Indirect revenues you can include with a substantiated assumption:<\/p>\n<ul>\n<li>Higher customer satisfaction through faster response and 24\/7 availability<\/li>\n<li>Lower customer churn because accessibility improves<\/li>\n<li>Higher employee satisfaction because colleagues can focus on more meaningful work<\/li>\n<li>Less turnover and associated recruitment costs<\/li>\n<\/ul>\n<p>Be transparent about which benefits are certain and which depend on assumptions. A business case that only contains soft benefits loses credibility with management and finance.<\/p>\n<h2>Which pitfalls undermine a fair cost comparison?<\/h2>\n<p>The most common pitfalls when comparing AI and human customer contact costs are underestimating implementation costs, forgetting escalation costs for AI, and not including full personnel costs for human handling. Both models are therefore systematically misrepresented.<\/p>\n<p>Avoid these common mistakes:<\/p>\n<ul>\n<li><strong>Only looking at license costs for AI:<\/strong> implementation, integration, and management often make up the largest part of the total costs<\/li>\n<li><strong>Only looking at gross salary for people:<\/strong> overhead, absenteeism, and turnover double the actual cost price<\/li>\n<li><strong>Assuming an automation rate that is too high:<\/strong> not every contact that AI can theoretically handle is actually handled successfully<\/li>\n<li><strong>Spreading one-time implementation costs over too long a period:<\/strong> this distorts the payback period<\/li>\n<li><strong>Ignoring quality differences:<\/strong> if AI handling leads to more repeat contacts or lower customer satisfaction, the actual costs are higher than the calculation suggests<\/li>\n<li><strong>Making static comparisons:<\/strong> personnel costs rise annually, while AI costs per contact fall when scaling up<\/li>\n<\/ul>\n<p>A fair comparison requires the same measurement period, the same contact definition, and explicit assumptions that you can defend to a critical financial director.<\/p>\n<h2>How we help in comparing AI and human customer contact costs<\/h2>\n<p>We help organizations make a fair, substantiated comparison between AI customer contact and human handling, from data collection to a presented business case. Our approach is concrete and pragmatic: we start with your actual contact volumes, processes, and systems, and calculate from there what automation realistically delivers.<\/p>\n<p>What we do for you:<\/p>\n<ul>\n<li>Mapping the full cost price per contact in your current situation, including hidden costs<\/li>\n<li>Determining which contact types are suitable for AI automation and which require human contact<\/li>\n<li>Calculating multiple scenarios with realistic automation rates and payback periods<\/li>\n<li>Drafting a business case that can gain internal approval from management and finance<\/li>\n<li>Implementing custom solutions with standard building blocks, from AI assistants to integrated contact center solutions, all under one roof without complex vendor management<\/li>\n<\/ul>\n<p>We work from a single point of contact for the entire process: advice, technology, and execution. This prevents you from being left with separate pieces of advice that no one implements. Want to know what AI customer contact can deliver for your organization? <a href=\"https:\/\/pegamento.nl\/en\/contact-us\/\">Contact us<\/a> and we will be happy to think along with you.<\/p>\n<div class=\"wp-block-seoaic-faq-block\">\n    <h2 class=\"seoaic-faq-section-title\">Frequently Asked Questions<\/h2>\n            <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                How long does it take on average for an AI customer contact solution to pay for itself?            <\/h3>\n            <p class=\"seoaic-answer\">\n                The payback period varies greatly per organization, but for most implementations, it lies between twelve and twenty-four months. Determining factors are the contact volume, the achieved automation rate, and the level of initial implementation costs. Organizations with a high volume of repetitive contacts and high personnel costs typically see the investment earned back faster than organizations with a low or highly variable contact supply.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                What is a realistic automation rate to use in my business case?            <\/h3>\n            <p class=\"seoaic-answer\">\n                A realistic automation rate for most organizations lies between forty and seventy percent of the total contact volume, depending on the complexity and diversity of the questions. Avoid the tendency to calculate with the maximum theoretical automation rate mentioned by a supplier; rather, use a conservative estimate based on an analysis of your own contact types. A pilot phase or a thorough analysis of historical contact data provides a much more reliable starting point than market benchmarks.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Should I take quality differences between AI and human handling into account in the cost comparison?            <\/h3>\n            <p class=\"seoaic-answer\">\n                Yes, quality differences are a crucial part of a fair comparison and are too often skipped. If AI handling leads to more repeat contacts, lower customer satisfaction, or more complaints, then the actual costs rise due to extra contact moments and possible customer churn. Therefore, include metrics in your calculation such as first contact resolution, customer satisfaction scores, and the percentage of contacts that still end up with an employee after AI handling.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                How do I deal with employees who become available when AI takes over part of the work?            <\/h3>\n            <p class=\"seoaic-answer\">\n                This is one of the most practical implementation questions and deserves an honest answer in the business case. In most organizations, AI automation does not lead directly to layoffs, but to a gradual decrease in hiring demand during peak periods and less replacement during turnover. The freed-up capacity can be deployed for more complex contacts, customer relationship management, or other value-creating tasks. Communicate transparently about this to employees and the works council, so that support for the implementation remains secured.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                What data do I need at a minimum to make a reliable cost comparison?            <\/h3>\n            <p class=\"seoaic-answer\">\n                For a reliable comparison, you need at least insight into the total contact volume per channel, the average handling time per contact type, the full personnel costs including overhead, and a breakdown of contact types based on complexity. Additionally, customer satisfaction scores and first contact resolution figures are valuable for weighing quality differences. If part of this data is missing, a first step is setting up a simple contact registration before you make the comparison.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Can I also use AI customer contact if my organization is relatively small?            <\/h3>\n            <p class=\"seoaic-answer\">\n                You can, but the threshold for a positive business case is higher for smaller organizations because the fixed implementation and license costs are distributed over fewer contacts. For smaller organizations, lighter, cheaper solutions are usually available, such as chatbots based on existing platforms, which require less integration effort. It is wise to first do a thorough analysis of which contact types and volumes you have before investing in a full AI implementation.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                How do I keep the cost comparison up to date after the initial implementation?            <\/h3>\n            <p class=\"seoaic-answer\">\n                A cost comparison is not a one-time document but requires periodic review, at least annually. Personnel costs typically rise each year due to collective labor agreement adjustments, while AI costs per contact can fall as volume grows or contracts are renegotiated. Therefore, ensure a living model in which you track the actual automation rate, escalation costs, and quality metrics, so you can continue to defend and adjust the business case where necessary.            <\/p>\n        <\/div>\n        <\/div>\n","protected":false},"excerpt":{"rendered":"<p>Fairly compare AI customer contact with human handling and discover when automation truly pays off.<\/p>\n","protected":false},"author":2,"featured_media":37378,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[500],"tags":[],"class_list":["post-37377","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-contact-center"],"_links":{"self":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts\/37377","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/comments?post=37377"}],"version-history":[{"count":1,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts\/37377\/revisions"}],"predecessor-version":[{"id":37379,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts\/37377\/revisions\/37379"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/media\/37378"}],"wp:attachment":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/media?parent=37377"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/categories?post=37377"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/tags?post=37377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}