Deloitte outlines playbook for 'Intelligent Experience'

- A key driver for this strategy is the significant, measurable ROI businesses are already seeing from AI in customer service; a Deloitte survey found 74% of companies report their advanced GenAI initiatives meet or exceed ROI goals. The playbook frames customer service as the next major frontier for enterprise AI, moving beyond simple chatbots to end-to-end intelligent models. - The playbook distinguishes between generative AI for content creation and agentic AI, which manages complex, multi-step processes with minimal human input. While generative AI shows faster ROI, Deloitte's research indicates agentic AI and multi-agent systems are the most sought-after emerging capabilities, with 52% and 45% of surveyed executives citing interest, respectively. - A core concept is human-AI collaboration, where AI handles routine, data-intensive tasks, allowing human agents to focus on judgment, empathy, and complex problem-solving. 84% of leaders in AI ROI believe agentic AI will free up employees for more strategic and creative work. - The approach is platform-oriented, building a centralized data foundation to support multiple use cases across the enterprise rather than focusing on siloed, per-use-case ROI calculations. This requires significant investment in data modernization, as data quality, structure, and accessibility are primary bottlenecks to effective AI agent deployment. - For implementation, Deloitte advocates a go-to-market system that starts with a high-impact, low-ambiguity "wedge," such as order status inquiries, before scaling. This includes positioning the AI with clear capability boundaries to build user trust and launching internally or with a loyal customer segment to gather feedback before a broad release. - To govern these systems, the firm has developed an "AI agent observability" framework with KPIs for cost, speed, quality, and trust. This model helps transition operations from being human-powered to human-led and agent-enabled by providing structured oversight for agent performance. - According to Deloitte's "Global Contact Center Survey," 43% of service leaders believe AI will enable them to cut contact center costs by 30% or more within the next three years. This anticipated efficiency gain is a major incentive for adopting an AI-first service model. - The strategy heavily relies on analyzing vast amounts of customer data—from browsing behavior to purchase history—to enable predictive analytics and real-time personalization. This allows businesses to anticipate customer needs proactively rather than just reacting to inquiries.