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Highlighted features

Accelerate quality assurance with Sapient Slingshot's enterprise-ready agentic AI capabilities, designed to streamline testing, improve consistency and scale automation across teams.

Visual workflow builder

<p>Connect AI agents and coordinate testing activities through customizable, end-to-end QA workflows.</p>

Pre-built and customizable AI agents

<p>Automate test planning, execution and results retrieval with specialized agents tailored to enterprise needs.</p>

Enterprise context graph

<p>Give AI agents access to business rules, technical documentation and testing knowledge for more accurate, context-aware automation.</p>

Reusable test automation

<p>Generate, execute and reuse automated tests across applications and existing development workflows.</p>

FAQs

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What is agentic quality assurance?

Agentic quality assurance uses AI agents to automate and coordinate tasks across the software testing lifecycle. Specialized agents work together to prepare, execute and analyze tests, helping teams improve efficiency and accelerate software delivery.

How does Slingshot automate QA workflows?

Slingshot orchestrates specialized AI agents through a connected workflow. Agents retrieve existing test cases, prepare test plans, trigger automated execution and surface results for review. The platform also supports automated test code generation, helping teams reduce repetitive effort and reuse testing assets.

What are the benefits of agentic QA automation?

Agentic QA automation helps organizations reduce repetitive testing tasks, accelerate validation and improve consistency across the QA process. By coordinating activities and streamlining workflows, teams can reduce engineering overhead, identify issues earlier and deliver software faster with greater confidence.

Can Slingshot integrate with existing testing tools and workflows?

Yes. Slingshot can incorporate existing testing assets and tools. Generated automation code can be reviewed, downloaded or submitted through a pull request, allowing teams to incorporate AI-powered testing into established development workflows.