Sprinklr AI Agents

What it does

Sprinklr AI Agents are AI-powered agents built for customer-facing work such as customer support, outbound sales, and commerce. According to the page, they take in customer conversations across voice, chat, email, social, and messaging, and act on them by resolving issues, guiding buying journeys, or running outbound engagement. They can escalate to human agents when needed and learn from human resolutions over time.

Teams build and manage agents through a workflow that mines historical cases to generate candidate tasks, configures agents with business context and guardrails, and evaluates performance through simulated conversations or live case replays. The agents run natively on the Sprinklr platform, using existing automations, rules, and workflows, and retain context as a customer moves between channels.

This product suits enterprises in industries the page names, including telecom, banking, technology, government, e-commerce, and travel, that want governed automation across customer-facing functions. Access is through the Sprinklr platform after a demo request; the page does not state pricing or a self-serve sign-up. Key considerations include the need for configured guardrails, PII masking, and monitoring, and the page does not detail deployment options or model providers.

What it can do

• Customer support agents that respond with empathy and escalate to human agents when needed
• Outbound sales agents that engage customers on their preferred channels
• Commerce agents that guide conversational buying journeys on websites, apps, and social pages
• Multi-channel context retention across voice, chat, email, and social
• Agent evaluation through simulated conversations and live case replays
• Input and output guardrails with keyword-based or AI-powered PII masking

Works with

• Sprinklr platform automations, rules, and workflows
• 100+ pre-integrated applications (per page; names not listed)

Before you choose

• Agent behavior depends on configured guardrails and business context; the page says these must be defined to ensure intended actions.
• PII masking must be set up (AI-powered or keyword-based) to protect sensitive data.
• Integration with existing automations and workflows is central to the product's design, so deployment scope depends on the enterprise's current setup.

Listed under

• Coding
• MCP and agent tools

Get started

The page directs visitors to request a demo; no self-serve sign-up is stated.

1. Request a demo through the Sprinklr AI Agents page to begin a deployment conversation.
2. Use the Discover step to auto-generate tasks and workflows from historical cases.
3. Configure agents with additional tasks, business context, knowledge, and guardrails, then evaluate them through simulated conversations or live case replays.

No pricing was confirmed from the provider’s documentation. Pricing, trial terms, and any usage metering were not found.

We couldn’t find published prices for Sprinklr AI Agents.

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Sprinklr AI Agent Platform: Faster, Smarter CX at Scale ↗www.sprinklr.com

Company website

sprinklr.com: product, pricing and policy pages

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.