{"id":67179,"date":"2025-05-15T10:24:48","date_gmt":"2025-05-15T00:24:48","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=67179"},"modified":"2025-05-15T10:32:10","modified_gmt":"2025-05-15T00:32:10","slug":"what-makes-a-strong-business-case-for-investment-in-service-ai","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/au\/blog\/what-makes-a-strong-business-case-for-investment-in-service-ai\/","title":{"rendered":"What Makes a Strong Business Case for Investment in Service AI?"},"content":{"rendered":"\n

After two decades in and around contact centres, I\u2019ve learned this: every conversation about service investment boils down to the same challenge \u2014 do more with less. Service teams are under pressure to scale support, reduce costs, and meet rising customer expectations \u2014 all without increasing headcount.<\/p>\n\n\n\n

Service AI offers a way forward. But turning that potential into business-wide momentum takes more than vision. It takes a bulletproof business case. That\u2019s the topic of our latest guide, Building a Business Case for Service with AI<\/a>, your roadmap to making service AI a reality in your organisation.<\/p>\n\n\n\n

Whether you’re just starting with out-of-the-box generative AI or looking to expand toward Agentforce<\/a> \u2014 a team of autonomous agents that work side-by-side with your employees to extend your workforce and serve your customers 24\/7 \u2014 we\u2019ll show you how to frame the opportunity, prove the impact, and get the buy-in you need.<\/p>\n\n\n\n

Why Build a Business Case for AI in Service?<\/h2>\n\n\n\n

Today\u2019s service teams know AI has potential. But many still struggle to articulate its tangible business value. That\u2019s where a well-crafted business case comes in.Start by identifying the real challenge: nearly two-thirds (61%<\/a>) of agents\u2019 time is spent on administrative tasks away from customers. Customer service representatives are consumed by swivel-chair work, manual note-taking, and navigating disconnected systems.<\/p>\n\n\n\n

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AI tackles these inefficiencies at scale \u2014 and the compounding impact is massive.<\/p>\n\n\n\n

In ANZ, 9 in 10 service organisations using AI report measurable time and cost savings. Over the past decade, service teams have also steadily become more central to business growth. The number of contact centres tracking revenue targets has nearly doubled since 2018, rising from 51% to 91%.<\/a> This shift reflects a broader evolution: service is increasingly seen as a strategic growth lever, not just a cost centre.<\/p>\n\n\n\n

Securing buy-in for AI investment goes beyond recognising potential \u2014 it requires proving tangible impact. You need to show how AI delivers on business priorities. That\u2019s where the most compelling arguments come in:<\/p>\n\n\n\n