Sprinklr

A managed integration estate with documented programmatic reach into and out of the platform. Spring 26 added unified integration management through the Sprinklr Marketplace and CRON-based automated ingestion via the UDC Connector, alongside named third-party integrations including the TikTok Commercial Music Library and Canva for digital asset management.

Behind the marketplace sits the documented API surface: RESTful endpoints for delivering messages to dashboard streams, pushing and pulling profile data, handling digital asset management and working with reporting and listening insights, authenticated by OAuth 2.0, plus published webhooks for event delivery. Those are authenticated reads and writes against systems on both sides of the boundary. The marketplace supplies named connectors and the API supplies the custom route.

Sourcesprinklr.com Spring 26 release, dev.sprinklr.com API listingread 2026-09-06

A no-code build workspace over a multi-step execution model. AI+ Studio is a centralized no-code workspace to build, manage and scale generative AI agents and workflows, with embedded workflows aligning agents to business logic and multi-step handling across support, sales and commerce tasks before escalation to a person.

Guardrail configuration is available in pro-code as well as no-code, so the same workflow layer is open to developers, and the studio keeps build, guardrails, monitoring and evaluation together. Execution crosses domains rather than staying inside support.

No runtime is named, and no branching, retry or multi-agent handoff construct is individually documented, so the multi-step claim is stated at product level rather than shown as a step model.

Sourcesprinklr.com AI Agents platform page and Spring 26 releaseread 2026-09-06

Grounding in the customer's own corpus, supported by a large in-house model estate. Sprinklr states agents are grounded in the customer's knowledge base and business context to improve output accuracy and maintain compliance, so answers rest on material the buyer controls rather than on model recall.

The platform is backed by more than 1,250 industry-specific in-house AI models spanning over 100 languages, which lets grounding be industry-shaped rather than generic and lets the corpus be queried in the customer's own languages.

No ingestion surface, index type, retrieval mechanism or refresh cadence is documented, so the corpus is asserted rather than shown, and the 1,250 models are a modeling asset rather than a retrieval one.

Sourcesprinklr.com AI platform and AI+ overview pagesread 2026-09-06

Configurable guardrails on both sides of the model, plus an approval gate on output. Input and output guardrails are configurable through either pro-code or no-code workflows, so a team limits what reaches the model and what leaves it. Approval workflows gate AI output before it goes out, which is a review-and-approve step rather than escalation after the fact. AI+ Studio is named as the single place to adjust guardrails and monitor performance, so control and observation sit together, and agents escalate to human agents when needed.

Sourcesprinklr.com AI Agents platform page and Spring 26 releaseread 2026-09-06

Both certifications and access controls are documented, and the compliance list is deep. Sprinklr's trust page states it maintains SOC 1 Type II, SOC 2 Type II, PCI DSS and ISO 27001 certifications as well as FedRAMP authorization, is regularly audited by third-party assessments, and runs a dedicated security team with a 24x7 detection and response function.

Its SafeBase trust portal publishes the artifacts: ISO/IEC 27001, PCI DSS, SOC 1, SOC 2 and SOC 3; TISAX and C5; CSA STAR Level 1; LGPD and VCDPA; and a VPAT, alongside CAIQ and SIG Lite self-assessments, an audit logging document, access monitoring, credential management, data erasure and a responsible AI statement, with bulk download through an access request.

On the access side, the API portal states OAuth 2.0 invokes the existing user-level governance and security model built into Sprinklr, so a named permissions model governs programmatic access. The platform ships real-time PII masking (AI-driven or keyword-based), configurable access controls, zero-retention data policies and the DRP 2.0 compliance controls shipped in Spring 26. A third-party cyber-rating site asserts Sprinklr holds no SOC 2, ISO 27001 or PCI DSS, which the vendor's own trust portal contradicts document by document.

Sourcetrust.sprinklr.com, sprinklr.com trust page, dev.sprinklr.com API overviewread 2026-09-06

Auditing is the stated purpose, not a side effect of reporting. Sprinklr provides in-depth monitoring dashboards, usage logs and feedback tracking expressly so teams can audit decisions, explain outputs and govern models, and Spring 26 added real-time conversation monitoring and AI telemetry inside AI+ Studio.

The trust portal lists an audit logging document and access monitoring among its control materials, so the audit surface covers platform access as well as agent behavior. Explaining outputs is described, but the artifact that does it is not documented, so whether it shows retrieval sources, tool calls or model reasoning is not published.

Sourcesprinklr.com AI Agents platform page, Spring 26 release and trust portalread 2026-09-06

A customer record that persists, which is not the same as an agent memory layer. Spring 26 introduced unified customer profiles that carry context across touchpoints, and the platform's founding proposition is unifying data across channels so a person recognized on social is the same person recognized in the contact center.

Conversation state within an interaction follows from the omnichannel contact center. But a unified profile is the application's data model, not a memory layer: deleting that memory for one customer would delete the business record itself. Nothing states what an agent retains between separate conversations, at what scope, for how long, or how an operator inspects or clears it.

Sourcesprinklr.com Spring 26 release and AI Agents platform pageread 2026-09-06

No deployment choice is documented. Sprinklr is presented throughout as a managed cloud platform, with no region selector, data residency commitment, VPC, single-tenant option, on-premises build or customer-tenant deployment published. A buyer with a different requirement has nothing published to choose from.

Sprinklr holds FedRAMP authorization, which for many vendors comes with a separate government environment, but Sprinklr states it as an authorization alongside its SOC and ISO certifications, not as a deployment option. The trust portal gates its documents behind an access request, and a network diagram and a data security document are listed among them.

Sourcesprinklr.com trust page, trust.sprinklr.com listing, Sprinklr platform and Spring 26 pagesread 2026-09-06

A named copilot portfolio shipped across the suite, plus a very large prebuilt model library. The copilots are distinct products doing distinct jobs: Marketing Copilot, Customer Feedback Copilot, Agent Copilot and Sprinklr Assist.

Beneath them sit more than 1,250 industry-specific prebuilt AI models spanning over 100 languages, which a customer adopts as delivered rather than trains, and AI+ Studio supplies the build route for anything the prebuilt set does not cover.

There is no browsable template gallery, so the adoptable set is the named copilots and the model library rather than a catalog a buyer explores.

Sourcesprinklr.com Spring 26 release and AI+ overviewread 2026-09-06

Conversational channels plus a scheduled, non-conversational path. Agents engage customers across voice, chat, email and social inside an omnichannel contact center, each an independent inbound queue, and Sprinklr's origin as a social suite means it covers public social channels many support platforms do not.

Alongside them, the UDC Connector adds CRON-based automated ingestion, so work also reaches the platform on a schedule rather than only when a person writes in, and published webhooks give an event path. No catalog of subscribable event types is published, so the event path rests on the webhook documentation rather than a list. Outbound campaigns belong to the marketing side of the suite rather than to the support agents described here.

Sourcesprinklr.com AI Agents platform page, Spring 26 release, dev.sprinklr.comread 2026-09-06

More than one model family runs underneath, and Sprinklr chooses between them. AI+ combines Sprinklr's own in-house models, of which it claims more than 1,250 industry-specific variants, with the OpenAI enterprise API, so the platform is not single-provider and the customer is told which providers are in play.

The selection is made by Sprinklr rather than exposed to the customer: no model selector, per-agent assignment, bring-your-own-model path or per-workflow override is published. A buyer relies on Sprinklr's judgment about which model suits a task. Naming the external provider outright is unusually specific disclosure for a vendor-routed stack.

Sourcesprinklr.com AI+ overview and AI platform pagesread 2026-09-06

A full public developer portal. Sprinklr publishes RESTful web service APIs in JSON at dev.sprinklr.com so developers can build applications that interact directly with data in Sprinklr. Authentication is OAuth 2.0, supporting authorization code grant, client credentials grant and JWT certificate-based token generation, and a portal manages API documentation and API keys.

Named API surfaces include delivering messages to dashboard streams, pushing and pulling profile data, digital asset management, and reporting and listening insights, alongside published webhooks and an API changelog that records every endpoint change so consumers are not broken silently. OAuth 2.0 invokes the existing user-level governance and security model built into Sprinklr, so API access inherits the platform's permissions rather than bypassing them.

Sourcedev.sprinklr.com API overview and API listingread 2026-09-06

A named evaluation product that simulates before and after deployment. Autonomous Evaluation, shipped in Spring 26, simulates thousands of customer interactions both before and after an agent goes live, stress tests it against edge cases and surfaces gaps in real time, giving explainable, test-backed validation of behavior. Bulk testing and AI telemetry were added to AI+ Studio alongside it.

That covers a test harness with scored simulated cases, a quality gate before release, and a controlled loop after deployment, all applied to the customer's own agent. Simulating at that volume against edge cases is unusually thorough. No pass threshold, published benchmark or named scoring rubric accompanies the simulation, so the mechanism is documented and its calibration is not.

Sourcesprinklr.com AI Agents platform page and Spring 26 releaseread 2026-09-06

No browser, desktop or remote computer control is documented. Sprinklr's agents act through the channel surfaces the platform already owns (voice, chat, email and social) and through integrations reached via the marketplace, the UDC Connector and the documented REST APIs. Owning the channels end to end is the suite's strength, and it is why Sprinklr has no need to drive an interface it does not control.

Sourcesprinklr.com AI Agents platform page and Spring 26 releaseread 2026-09-06