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Serious About Process Ep. 2 | Shift from Data Admin to More Underwriting

Episode 2 of the Serious About Process podcast is live! What if most of your underwriters’ time is spent on admin instead of underwriting? In this episode of Serious About Process, Gijsbert Cox and Roger Lewis explore how to reclaim that time through smarter processes, practical automation, and AI that enhances, not replaces, decision-making. From escaping pilot purgatory to scaling real solutions, they break down how insurers can drive measurable impact without ripping out legacy systems.

Unifying Data with Appian Data Fabric

When information is spread across disconnected systems, it becomes difficult and time-consuming to find the right information, make informed decisions, and move work forward. Take, for example, planning a weekend getaway with friends: you have to review airline portals, manage a shared Google Doc for the itinerary, orchestrate a flurry of WhatsApp chats, and book an Airbnb reservation. Making decisions with this much information sprawl becomes exhausting.

Customer Service AI Orchestration: Smart Intake Isn't Enough

Customer service AI orchestration connects AI-driven intake to the backend systems and people who actually resolve a request, not just the chatbot that receives it. Every request should trigger an end-to-end resolution, not stop at an automated response. The real challenge with AI in customer service isn’t adoption; it’s fragmentation.

Application Tuning: Getting More from What You Already Have

Enterprise IT leaders are often caught between the pressure to innovate and the demands of maintaining their current tech. When a system slows down or struggles to scale, it can be hard to know what to do. Rather than being stalled by uncertainty or getting distracted by fixes that don’t solve the underlying problems, Appian’s Customer Success experts encourage our customers to start with a core thesis: non-invasive application tuning should always be your first line of attack.

How Appian Provides AI Guardrails and Controls

AI agents make thousands of decisions per day, at volumes no human-centered governance model can realistically supervise. According to IBM's 2026 Tech Leader Study of 2,000 CIOs/CTOs in 33 geographies across 19 industries: The study concludes that organizations face a trap: prioritize speed, and governance falls behind; or prioritize safety, and deployment stalls, weakening the organization’s competitive position.