What Is Sprinklr AI and What Does It Cost? (2026 Guide)
Sprinklr AI is the AI Agents and Agent Copilot layer inside Sprinklr's enterprise customer experience suite, and Sprinklr sells it only by custom quote with no published price. It suits large enterprises already using Sprinklr for social and marketing more than teams that only need AI on one help desk.
Key takeaways
- Sprinklr AI is sold only by custom enterprise quote: sprinklr.com/pricing returned a 404 on 24 September 2026 and Capterra lists no free trial or free version.
- Sprinklr, founded by Ragy Thomas in 2009 and listed on the NYSE as CXM since 2021, reports 1,900+ customers across 19 countries.
- Sprinklr claims its Unified Agent Desktop cuts agent workload by over 50%, and its Conversational IVR page says voice AI can deflect up to 70% of inbound calls.
- Independent review data on Sprinklr Service is thin: Capterra showed 5.0 out of 5 from only 2 reviews, with setup time and complexity as the complaints.
- For teams keeping their help desk, Macha is the done-for-you option: the Macha team builds and runs the agent, included at about $0.40 a ticket with a dedicated success manager.
Sprinklr AI is the set of AI Agents and Agent Copilot features inside Sprinklr's customer experience management (CXM) suite, sold only through sales with no published price (sprinklr.com/pricing returned a 404 on 24 September 2026). The company behind it has traded on the NYSE as CXM since 2021 and reports 1,900+ customers. We build AI agents for customer service ourselves, so we read Sprinklr the way an enterprise buyer would: what the company confirms, what we could check, and what users say once you look past the marketing.
| Question | Short answer (checked 24 Sept 2026) |
|---|---|
| What it is | AI Agents, Agent Copilot and Conversational IVR inside Sprinklr's CXM suite |
| Price | Not published; custom enterprise quote |
| Free trial | None listed; demo request only |
| Channels | Voice, chat, email, social media and messaging |
| Headline claims | Agent workload down over 50%, handle time down up to 30%, up to 70% of calls deflected (Sprinklr's own figures) |
| Best fit | Large multi-market enterprises already using Sprinklr for social and marketing |
What is Sprinklr AI?
Sprinklr was founded in 2009 by Ragy Thomas and has been publicly traded on the NYSE under the ticker CXM since 2021. Its about page lists 1,900+ customers and operations in 19 countries, with Rory Read as President and CEO since 2024. Sprinklr reached unicorn status in 2015 and raised $200 million at a $2.7 billion valuation in 2020, before its IPO. That profile matters when you judge the AI layer: Sprinklr AI isn't a startup's core product. It is the AI capability a large public company is spreading across a CXM suite that already covers social media management, customer service, marketing and insights.
Sprinklr's AI Agents page cites case studies with Aramex (a 24/7 AI-powered contact center), Acer (workflows rebuilt across global markets), Uber (industry-leading SLA and response times) and Deutsche Telekom (an AI-powered contact center rollout), plus a Northwestern Mutual social campaign. Every name on that list is a large, multi-market enterprise, not a small support team.
How does Sprinklr AI work?
Sprinklr AI Agents run across voice, chat, email, social media and messaging and keep customer context between channels, so a conversation that starts on social and continues by email doesn't make the customer repeat themselves. Sprinklr describes the agents as self-learning: they improve containment by studying how human agents resolved similar cases. The AI Agents page lists three sets of safeguards: input and output guardrails configured with pro-code or no-code workflows, AI or keyword-based PII masking, and real-time monitoring dashboards with usage logs. It also claims 100+ pre-integrated applications.
The Unified Agent Desktop is where the AI meets a human agent. Sprinklr claims it reduces agent workload by over 50% by ending the routine of switching between 6-7 screens to resolve one case, and that the omnichannel desktop cuts average handle time by up to 30%. The customer's history, sentiment and AI-suggested "Smart Responses" sit in one tab. For voice, Sprinklr's Conversational IVR page says it can deflect up to 70% of inbound calls, with a dashboard tracking call volume, IVR containment and average handling time.
Sprinklr markets several AI surfaces under similar names: AI Agents (autonomous, customer-facing automation), Agent Copilot (real-time help for a human agent mid-case), and a wider Sprinklr AI layer that also touches its social listening and marketing products. A buyer evaluating support automation should scope the demo to AI Agents and Agent Copilot, not the full AI+ Studio, which covers use cases far beyond support.
What features does Sprinklr AI include?
- Omnichannel AI Agents across voice, chat, email, social and messaging with retained customer context.
- Agent Copilot: real-time case summaries, suggested responses and lookups of past interactions for human agents.
- Unified Agent Desktop: case information, customer profile and AI suggestions on one screen.
- Conversational IVR: AI call deflection and routing with its own analytics dashboard.
- Self-learning agents that refine responses from human agent resolutions over time.
- Enterprise guardrails: PII masking, input/output filtering, real-time monitoring and usage logs.
How much does Sprinklr AI cost?
Sprinklr does not publish pricing. Its /pricing/ URL returned a 404 when we checked on 24 September 2026, and no plan names or figures appear in its navigation. Capterra's Sprinklr Service listing says the same: a custom enterprise quote, with no free trial and no free version. Every engagement starts with a "Contact us" or demo request.
Keeping the price off the site is normal at this scale. A suite this broad (social, marketing, insights and service) prices each deal against the mix of products, seats and channel volume a customer needs, and one public number would either undercharge a heavy user or scare off a smaller one before sales can scope the deal.
What are Sprinklr AI's pros and cons?
Pros
- A publicly traded company (NYSE: CXM) operating since 2009, with published financials.
- Real omnichannel breadth: social, chat, email and voice under one AI layer with shared customer context.
- Specific efficiency claims (over 50% less agent workload, up to 30% lower handle time, up to 70% call deflection) shown with live dashboards on the product pages.
- Guardrails (PII masking, usage logs) built into the AI layer.
Cons
- No published pricing; every deal needs a sales conversation with a large enterprise vendor.
- Very little independent review data for the service product: Capterra's Sprinklr Service listing had 2 reviews on 24 September 2026.
- The suite's breadth means a buyer who only wants AI support agents is evaluating a much larger product than they need.
- Case studies lean toward very large enterprises (Uber, Deutsche Telekom, Acer), which tells a mid-market buyer little.
What do actual users say about Sprinklr AI?
Independent data is thin. Capterra's Sprinklr Service listing showed 5.0 out of 5 from just 2 reviews on 24 September 2026, too few to lean on. Those reviewers call it "a top tier tool in the industry," and the complaints are about effort: "It takes time to set-up/deploy" and "too many ways to do the same thing." G2, TrustRadius and Gartner Peer Insights blocked our automated access, so check them yourself for current ratings before you buy.
How we researched this: we read Sprinklr's homepage, AI Agents, Agent Copilot, Agent Console and Conversational IVR pages and sprinklr.com/about-us, first on 17 September 2026 and again on 24 September 2026 for the figures above. The AI Agents page is a heavy scroll-animation page that shows little in a static capture.
Who is Sprinklr AI best for?
Sprinklr AI fits large, multi-market enterprises that already run (or are evaluating) Sprinklr's suite for social media management and marketing, and want AI agents and copilot features on the same customer data and channels. The efficiency claims target high-volume, multichannel operations like the ones Uber and Deutsche Telekom run.
It's a weaker fit for a smaller support team, or one that only needs AI agents on a single help desk. Buying Sprinklr for its AI agents alone means adopting a large enterprise platform for one part of a much bigger product. The practical test: are social listening and marketing orchestration already on the roadmap next to customer service? If yes, the AI layer comes with a platform the business needed anyway. If support automation is the only requirement, you pay for the rest of the suite without using it.
How does Sprinklr AI compare with Kore.ai and Macha?
| Sprinklr AI | Kore.ai | Macha | |
|---|---|---|---|
| Model | AI Agents and Copilot inside a unified CXM suite | Enterprise agentic AI platform for CX and EX | AI agent layer on your existing help desk |
| Best for | Large enterprises already on (or evaluating) Sprinklr's CXM suite | Enterprise contact centers wanting a dedicated agent platform | Teams on Zendesk, Freshdesk, Gorgias, Front, HubSpot or Intercom |
| Pricing | Not published; sales-led enterprise deal | Not published; see the Kore.ai guide | From $299/mo for 750 tickets (~$0.40/ticket), published |
| Setup | Enterprise sales cycle, broader CXM onboarding | Sales-led, enterprise onboarding | Done for you by the Macha team, with a dedicated success manager, included |
| Trial | Demo-gated | Demo-gated | $50 free usage |
| Replaces your help desk? | Yes, or absorbs it into a broader CXM suite | No, layers onto existing CX/EX systems | No, it works inside it |
Sprinklr and Kore.ai both sell to large enterprises through sales, but Sprinklr bundles its AI agents inside a much broader CXM suite, while Kore.ai is a dedicated agentic AI platform that layers onto whatever systems an enterprise already runs.
Macha sits at a different layer: an AI agent layer on top of the help desk a team already uses (Zendesk, Freshdesk, Gorgias, Front, HubSpot or Intercom). A large enterprise consolidating social, marketing and service gets real value from Sprinklr's breadth. A team that wants AI agents working inside its existing help desk queue gets there faster with Macha, because it's done for you: the Macha team analyzes your past tickets, builds the knowledge base and the agent on your help desk, and runs it in safe mode until the drafts are right. That's included at about $0.40 a ticket, along with a dedicated success manager who handles your changes. See Macha's pricing or start with $50 of free usage against real tickets.
FAQ
What is Sprinklr AI? Sprinklr AI is the AI Agents and Copilot layer in Sprinklr's CXM platform, covering omnichannel support automation, real-time agent assistance and conversational IVR, from a company listed on the NYSE as CXM.
How much does Sprinklr AI cost? Sprinklr doesn't publish pricing. Its pricing URL returns a 404, Capterra lists it as a custom enterprise quote, and every engagement goes through sales.
Who founded Sprinklr, and is it publicly traded? Ragy Thomas founded Sprinklr in 2009. It has traded on the NYSE under the ticker CXM since 2021, with Rory Read as CEO since 2024.
What do real users say about Sprinklr AI? Very few independent reviews exist for the service product: Capterra showed 5.0 out of 5 from 2 reviews on 24 September 2026, with setup time and complexity as the main complaints. G2, TrustRadius and Gartner Peer Insights blocked our automated access.
Does Sprinklr AI replace a help desk like Zendesk? It can. Sprinklr positions itself as a full CXM platform, including customer service, not an AI layer added to an existing help desk.
What companies use Sprinklr AI? Sprinklr's own case studies cite Aramex, Acer, Uber and Deutsche Telekom, among other large, multi-market enterprises.
Is Macha an alternative to Sprinklr AI? Not directly. Sprinklr AI is part of a full enterprise CXM platform that can replace a help desk; Macha is an AI agent layer on top of a help desk a team already uses (Zendesk, Freshdesk, Gorgias, Front, HubSpot or Intercom). A large enterprise consolidating its CX stack fits Sprinklr; a team keeping its help desk and adding agents fits Macha.
Sources: Sprinklr, Sprinklr AI Agents, Sprinklr Agent Copilot, Sprinklr Unified Agent Desktop, Sprinklr Conversational IVR, Sprinklr about us, Capterra: Sprinklr Service. G2, TrustRadius and Gartner Peer Insights blocked our direct research access.

