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Model Context Protocol Tool

Model Context Protocol (MCP) is a shift in how Sprinklr’s platform communicates with LLMs and external services. Inspired by modern LLM architectures like Anthropic's tool usage framework, MCP introduces a structured and configurable system for exposing external tools to models, enhancing flexibilit

Sprinklr Service

20.10

Updated Article

Knowledge Base Article

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Integration Tools

SH
Create Intent from Another Application

Before you start, See Create Intents from ScratchTo Add IntentsClick Intent Models under AI Tools in Conversational AI Application​Click the desired model and then click on the dropdown menu beside the Add Intent button in the top right corner.Next, Click on Another Application .Select the Applicati

Service

Knowledge Base Article

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Set Up NLU Based Intents

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Manage Deployments

You can manage existing AI deployments directly from the Record Manager screen in AI+ Studio. Click the vertical ellipsis (⋮) next to the desired deployment to access available actions.​Available ActionsEdit Pipeline: Modify the pipeline configuration for the selected deployment.Edit Details: Update

marketing

Insights

social

Service

Knowledge Base Article

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Use-Case Deployments

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Writing Prompts for FAQ+

When creating prompts for AI agents, it's essential to ensure clarity, precision, and conciseness. This article discusses best practices for drafting high quality prompts.Key Considerations for Writing PromptsThis article discusses best practices for drafting high quality prompts. However, this

Knowledge Base Article

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Knowledge Content

SH
Video Call Quality Management

OverviewThe feature introduces enhanced value to video calls between agents and customers by extracting valuable insights. When engaged in video calls, a transcript gets generated. This transcript is then analyzed by an AI model, yielding valuable insights that can be utilized by agents. Video calls

Sprinklr Live Chat

Service

Knowledge Base Article

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Additional Features

RS
Maximizing Social Media Success with Sprinklr: A Quick Guide for Brands

In the ever-evolving digital landscape, effectively managing social media is crucial for brands aiming to engage with customers, drive revenue, and track performance. Sprinklr, an AI-powered social publishing and engagement platform, offers a comprehensive solution to help brands deliver content, in

social

Social - SES

Reference Guides for Social - SES

Knowledge Base Article

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Reference Guide for Sprinklr Social

RS
Harmful Content Guardrail

The Harmful Content Guardrail helps prevent the system from generating or engaging with unsafe, abusive, or violent material. This configuration is designed to maintain a safe environment for users and ensure compliance with organizational and regulatory standards.When you enable this guardrail, the

Sprinklr AI+

Sprinklr Service

marketing

Insights

+4

Knowledge Base Article

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Types of Guardrails

SH
Sprinklr Service: 18.5 Capabilities and Enhancements

With this release, deliver an enhanced customer experience with feature advancements in Live Chat, Conversational AI, and Guided Workflows. Increase agent productivity with Quality Management on Video and Shift Management within WFM.

18.5 Release

Sprinklr Service

Knowledge Base Article

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v18.5 Spring Release (May)

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Generate a Call Summary Using Sprinklr AI+

​One of the most essential functions of any after-call work is to take the summary of the call. This ensures that all vital information from a call is captured and documented. It also facilitates better communication and collaboration between the stakeholders of the organization. Organizations can p

Sprinklr Service

Service

Updated Article

26.4

Knowledge Base Article

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Generate a call summary using Sprinklr AI+

RS
Sprinklr Unified Platform (Integrations) and Cross Products (Display/Presentations): 26.4 Release Notes

Sprinklr Unified Platform and Cross Products' latest 26.4 release introduces a range of exciting new capabilities to enhance integration flexibility and simplify workflows.

New Article

26.4

Sprinklr Platform

Knowledge Base Article

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26.4 Release (27th Mar '26 Onwards)

RS
Prompt Engineering Best Practices

This guide outlines best practices for writing effective prompts in AI+ Studio, including how to construct system and base prompts, test deployments, and optimize prompt performance across models and use cases.What Is Prompt Engineering?Prompt engineering is the practice of writing clear and effecti

marketing

Insights

social

20.7.1

+4

Knowledge Base Article

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Prompt Engineering Best Practices

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Publishing Tool

Publishing enables you to customize message delivery timing and enhance chatbot interactions. Example: You can publish API responses stored in variables, allowing precise control over when and how they’re published—whether all at once or sequentially—ensuring output meets specific business needs and

Sprinklr Service

20.10

Updated Article

Knowledge Base Article

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Communication Tools

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Smart Response Compliance

Let your audience know that you care about them by ensuring your responses are unbiased and empathic.While engaging with your customers on different social media channels, you can respond to and address customer queries, posts, messages, etc. through Sprinklr. These responses can be vetted by an AI-

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Engagement - SES

Brand Guidelines

Check Response Compliance

+8

Knowledge Base Article

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Leverage AI for better engagement

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What are Media Stories?

As a PR professional, it is critical to identify and stay on top of crisis events happening around your brands, competitors, campaigns, etc., and often in these cases, time is of the essence. Traditionally, a PR professional would have to go through each and every published article to understand whi

Insights

Knowledge Base Article

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Media Stories

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Simplified Deployment Settings

IntroductionIn this article, we will explore the simplified deployment settings in Conversational AI and discuss how to use them effectively, focusing on the new streamlined process for deploying and undeploying dialogue trees.Benefits of Simplified Deployment SettingsThe new simplified deployment s

Service

Knowledge Base Article

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Define Bot Orchestration Strategy

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Listening Persona App

Sprinklr being an exhaustive platform can be overwhelming for a new user to navigate, utilize, and optimize to its full potential. To solve this, Sprinklr brings forth the new Listening and Benchmarking Persona app. The new persona app is aimed to impart a more simplified and user-friendly experienc

Listening Persona App

Insights

Knowledge Base Article

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Onboarding Module

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Deployment Settings

Before we beginBefore we look at Deployment Settings and how it is configured, it is important to know about Issue Types.OverviewAfter you have created your dialogue tree bots and FAQ bots, you need to deploy them. To do this, go to the Deploy section. The function of the deploy section is to assign

Service

Knowledge Base Article

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Define Bot Orchestration Strategy

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Word Filters Guardrail

The Word Filters Guardrail allows you to block specific words or phrases from appearing in user interactions. This configuration is useful for restricting profanity, sensitive terms, or any language that violates organizational policies.When a filtered word is detected, the system can:Block interact

Sprinklr AI+

Sprinklr Service

marketing

Insights

+4

Knowledge Base Article

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Types of Guardrails

RS
Introduction to Agent Copilot

Agent Copilot is a generative AI–powered assistant designed to help agents resolve customer cases faster and more effectively. It is embedded as a widget within the Sprinklr Care Console and provides a chat-driven experience that supports agents throughout the case lifecycle.By combining real-time a

Knowledge Base Article

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Introduction to Agent Copilot

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What is Intent Test Project?

OverviewIntent Test Project allows users to perform all testing-related activities and validate accuracy on the platform.Once you have built the model, we can evaluate the accuracy of an intent model by validating messages on historical dataWe can also give feedback to the intent model for messages

Service

Knowledge Base Article

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AI/NLP Testing