Summary

Generative AI (GenAI) offers extraordinary promise, but turning that promise into results demands more than technology. It requires a strategy rooted in real-world challenges, guided by a deep understanding of what works—and what doesn’t. At Nearsure, we’ve been there, helping businesses design GenAI applications that don’t just function, but transform.

This white paper is built on that experience. It outlines the principles that matter most: creating flexible, future-proof architectures, managing data with precision, and identifying use cases where GenAI delivers meaningful value. Along the way, it examines the missteps companies often make and the lessons learned from those who succeeded. These aren’t theories or abstractions: They are insights forged in practice.

Contents

  1. Understanding the GenAI Opportunity
    1. The Markers of Successful GenAI Applications
  2. The Fundamentals of GenAI Apps
    1. Mature GenAI Apps for Business Use Cases
    2. Sidebar: Chat vs. Copilot vs. Agent
  3. Nearsure's Guardrails for Successful GenAI App Development
    1. Tech-Agnostic Architecture
    2. Compare Results Across Models in Your Architecture
    3. Protect Against Hallucinations
    4. Anticipate Cost Pressure
  4. GenAI Is Only Part of the Solution
    1. Key Considerations for a Holistic GenAI Approach
    2. Sidebar: Common Pitfalls in GenAI Implementation
  5. GenAI Requires Strong Data Management
  6. Selecting the Highest-Value Use Cases
    1. Evaluating Potential ROI for GenAI Apps
    2. Call Center ROI Example
  7. Nearsure's Competitive Edge
  8. Success Stories
    1. Using a GenAI App to Find the Right Talent
    2. Further Examples of GenAI Apps Built by Nearsure