AI Suggestion Response Email CRM Qorus-NTT DATA Innovation in Insurance Awards 2026

Innovation Description

The AI Suggestion Response Email CRM initiative enhances Generali’s existing Customer Care capabilities by introducing AI‑powered suggestion responses to support agents in handling inbound customer emails. The solution leverages Copilot to generate recommended email response bodies for the latest customer email while considering the full conversation history. Importantly, the AI output is grounded in Generali’s approved Communication Package Email Care, ensuring consistency, compliance, and alignment with internal procedures.

The AI does not automate customer communication end‑to‑end. Instead, it provides assistive recommendations that agents review, adjust, and approve before sending. Openings, closings, and signatures remain controlled by the CRM and the user, preserving governance and accountability. This design allows Generali to improve efficiency and service quality without introducing regulatory or reputational risk.

Business Problem Addressed

Customer Care agents currently spend significant time responding to emails due to the need to read historical conversations, review prior cases, check internal systems, and ensure responses comply with approved communication standards. On average, this process takes several minutes per email and limits scalability as volumes increase. While quality and compliance are maintained, the manual nature of the process creates operational inefficiencies and inconsistent customer experiences across agents.

Innovative Aspects and Differentiation

It applies AI in a controlled, purpose‑driven manner rather than full automation. Unlike many market solutions that focus on auto‑reply or chatbot replacement, this project embeds AI as a drafting assistant within an existing CRM workflow.

The key differentiators are:

Human‑in‑the‑loop by design, ensuring AI supports but never replaces professional judgment.

Enterprise‑controlled knowledge, where AI responses are generated from Generali’s own approved communication packages rather than generic language models.

Context‑aware assistance, where the AI considers full conversation history but responds only to the latest email, avoiding confusion or over‑automation.

This approach makes the solution safer, more acceptable to business users, and better suited to a regulated insurance environment.

Type of Innovation

The project represents incremental innovation. It enhances an existing Care AI capability and improves current processes without changing customer interaction channels, CRM platforms, or the Customer Care operating model. By focusing on efficiency, consistency, and quality improvements within established workflows, the solution delivers tangible value with low adoption risk and predictable impact.

Alignment with Generali’s Business Model and Strategy

The initiative aligns strongly with Generali’s customer‑centric and risk‑aware business model. It strengthens Customer Care by enabling faster, clearer, and more consistent communication while preserving human ownership of customer interactions.

From a governance perspective, the solution reflects Generali’s responsible approach to AI adoption. It enforces human validation, avoids automated sending, and relies on approved internal knowledge sources. This ensures AI is used as an enabler of quality and control, not as a source of risk.

Operationally, the solution improves scalability and lays a foundation for future enhancements, such as expanded knowledge coverage or additional communication channels, without requiring fundamental changes to the existing business model.

Value Created and Expected Outcomes

The AI Suggestion Response Email CRM initiative is expected to improve customer satisfaction through clearer, more consistent, and timely responses. Agents benefit from increased confidence and reduced manual effort, particularly when handling complex or less frequent scenarios.

At an organizational level, the initiative reinforces consistent application of approved communication standards, strengthens governance confidence in AI usage, and positions Generali as a company that adopts AI thoughtfully and responsibly. The project also serves as a reference use case for future AI initiatives within the organization.

This innovation demonstrates how AI can be embedded into daily operations in a responsible and business‑aligned way. By enhancing Customer Care email responses through AI‑generated suggestions grounded in Generali’s approved communication standards and governed by human oversight, the project delivers efficiency gains, consistency, and improved customer experience while fully aligning with Generali’s business model and risk framework.