Yedric.ai

Product Introduction

1. Definition: Yedric.ai is a B2B SaaS platform that provides an embeddable, low-code AI agent framework. Technically, it is an API-first orchestration layer that connects a large language model (LLM) interface to a software application's existing API endpoints and user interface (UI) elements.
2. Core Value Proposition: Yedric.ai exists to enable SaaS companies and developers to rapidly integrate actionable AI assistants into their products without building complex AI infrastructure from scratch. Its primary value is turning natural language requests into executable actions within the host application, eliminating the need for users to navigate complex UIs manually.

Main Features

1. Embeddable AI Chat Interface: A customizable, white-label chat widget that can be embedded into any web application. It provides the front-end interface where users type natural language commands. The widget is typically implemented via a JavaScript snippet or React component, allowing for seamless UI/UX integration with the host product's design system.
2. Action Orchestration Engine: The core technical backend that interprets user intent and maps it to predefined functions. How it works: When a user submits a request (e.g., "Refund the last order for [email protected]"), Yedric's engine uses an LLM (like GPT-4) to parse the intent, identifies the required actions (e.g., lookupCustomerByEmail, findLatestOrder, executeRefund), and sequentially calls the corresponding API endpoints that the developer has connected. This involves authentication handling, parameter extraction, and error management.
3. Low-Code Action Builder: A developer dashboard for defining "actions" without writing extensive AI-specific code. Developers connect their product's RESTful API endpoints or authenticate Yedric to perform actions via the existing UI. They can document each endpoint's purpose, parameters, and expected outcomes, which trains the AI agent on the application's specific capabilities. This significantly reduces the integration timeline to under 30 minutes for basic setups.
4. Conversation Analytics & Insight Generation: The platform logs and analyzes interactions between users and the AI agent. It provides product teams with insights into feature discovery gaps, common user requests, and points of friction. This turns support and interaction data into actionable product intelligence, highlighting which features are hard to find or which processes are frequently requested via natural language.

Problems Solved

1. Pain Point: High User Onboarding and Support Costs. Traditional software requires users to learn complex navigation and locate features, leading to support tickets, churn, and reduced productivity. Yedric.ai directly addresses this by providing an intuitive, language-based interface to application functionality.
2. Target Audience: SaaS Product Teams and Developers, specifically: Product Managers seeking to improve user adoption and reduce cognitive load; Frontend and Full-Stack Developers (e.g., React, Vue.js teams) needing a scalable way to add AI features; and Support Leaders aiming to deflect repetitive "how-to" tickets.
3. Use Cases:
   • E-commerce Platforms (Shopify Apps): Customers can ask, "Cancel my subscription and issue a prorated refund," and the agent executes the multi-step process automatically.
   • CRM Software: Sales reps can command, "Schedule a follow-up meeting with all leads from last week's webinar," and the agent creates tasks and calendar events.
   • Internal Business Tools: Employees can request, "Generate a Q3 sales report for the EMEA region and email it to the leadership team," streamlining complex data workflows.

Unique Advantages

1. Differentiation: Unlike generic AI chatbots (e.g., Intercom's Fin, Zendesk Answer Bot) that only retrieve information from knowledge bases, Yedric.ai is designed for taking real, state-changing actions. It also differs from building in-house AI agents, which require significant investment in prompt engineering, LLM orchestration, and security, by offering a managed, plug-and-play platform.
2. Key Innovation: The low-code, API-first integration model that leverages a product's existing capabilities. Instead of forcing developers to rebuild features for an AI context, Yedric's framework uses the application's own API as the source of truth and action execution layer. This "wrap-around" approach is what enables the promised 30-minute integration and makes an existing product instantly AI-native.

Frequently Asked Questions (FAQ)

1. What is Yedric.ai and how does it work? Yedric.ai is an embeddable AI agent platform that connects to your software's API, allowing users to perform tasks through natural language commands in a chat interface, which the agent translates into specific API calls.
2. How does Yedric.ai handle security and data privacy? Yedric.ai operates as a secure orchestration layer; it does not store your core business data. Authentication tokens and sensitive data are handled via secure, short-lived sessions, and all actions are executed through your existing, permissioned API endpoints, maintaining your current security model.
3. Can Yedric.ai's AI assistant be customized to match my brand? Yes, the embedded chat widget is fully white-label. You can customize its colors, fonts, positioning, and introductory messages to maintain a seamless brand experience within your application's user interface.
4. What kind of technical setup is required to integrate Yedric.ai? Integration requires a developer to connect Yedric.ai to your application's API by defining available actions (endpoints) in the Yedric dashboard. This typically involves providing API documentation, authentication keys, and parameter definitions, a process the platform guides you through.
5. Is Yedric.ai suitable for mobile applications? While the primary integration is for web applications via JavaScript, the action engine is API-driven. This means the logic can support mobile apps if they can embed a web view or communicate with the Yedric engine via its API, though the native chat widget is optimized for web.