AI Policies for Customer Support
Customer Support AI Policies
Create and manage customer interactions using natural language. No coding or complex flowcharts required. Quickly turn your SOPs into automation, experiment with strategies, and deliver personalized support with ease.
Discover Customer Support Policies for all your needs:
WISMO: ShipMonk & Gladly Integration
Discover how to handle WISMO inquiries efficiently using AI policies with ShipMonk & Gladly. Enhance customer satisfaction with streamlined order tracking.
WISMO with Narvar & Gladly AI
Learn how integrating WISMO on Narvar and Gladly with AI Policies enhances customer support efficiency, reducing order tracking inquiries swiftly and effectively.
WISMO: EasyPost & Gladly Guide
Learn how to efficiently manage “Where Is My Order?” inquiries using EasyPost and Gladly for enhanced customer support and satisfaction.
WISMO: Aftership & Freshdesk Tips
Discover how to efficiently manage WISMO inquiries using Aftership and Freshdesk with Kodif AI Policies, optimizing customer satisfaction and support efficiency.
WISMO: ShipEngine & Freshdesk
Learn how to efficiently manage WISMO tickets using ShipEngine and Freshdesk, enhancing customer satisfaction with streamlined AI policies. Explore more now!
WISMO: ShipMonk & Kustomer Guide
Discover how to streamline WISMO inquiries using ShipMonk and Kustomer AI policies, enhancing customer satisfaction with efficient order updates.
WISMO: Narvar & Freshdesk AI
Learn how to streamline WISMO inquiries using AI policies on Narvar and Freshdesk, enhancing customer satisfaction and efficiency in e-commerce.
WISMO: EasyPost & Freshdesk Guide
Optimize WISMO ticket handling with AI policies on EasyPost and Freshdesk. Enhance customer satisfaction by automating order status updates efficiently.
Policies vs. Flows: Why Policies are the Future?
In the realm of customer support, traditional flows have been the go-to approach for managing interactions—linear, rigid paths designed to handle specific scenarios. While they serve a purpose, flows can be cumbersome, complex to set up, inflexible and hard to maintain. The future lies in policies or AI agents, a more dynamic, adaptable approach. Here’s why:
- Ease of Use – Policies allow anyone to write instructions in natural language, making it easy for non-technical users to define and refine customer interactions. No need for complex flowcharts or scripting—just clear, straightforward language that anyone can understand and manage.
- Fully self-serve – As policies are written in natural language, every non-technical CX manager can write, test and modify policies.
- Time to Implement – Every business already has Standard Operating Procedures (SOPs) in place. With policies, you can quickly translate these existing procedures into automation. It’s as simple as copy and paste, saving valuable time and resources compared to building intricate flows from scratch.
- Flexible and Personalized Customer Experience – Unlike rigid flows, policies allow for more flexibility and personalization. They adapt based on real-time context, ensuring customers receive a tailored experience that feels natural, not mechanical. This approach makes it easier to handle exceptions and provide unique, customer-centric interactions.
- Opens Up Opportunities for Experiments – Policies enable businesses to experiment more freely. In the future, Policies will power A/B experiments with multiple versions of a policy, comparing their performance across key quality metrics to identify the most effective approach.
By shifting from traditional flows to policies, businesses can create a more agile, user-friendly, and personalized approach to customer support. Policies offer a future where companies can easily adapt, scale, and innovate, providing better customer experiences while driving growth.
However, for scenarios that are high-stakes, sensitive, or carry significant risk (such as compliance-related interactions, payment issues, or security concerns), rule-based flows provide the precision needed. Flows allow businesses to set strict, predefined paths that the AI must follow, ensuring consistency and minimizing the chance of error.