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Tines workflow automation agents enable enterprises to apply the right level of automation with flexibility from manual to fully autonomous within a single platform and run entirely within the platform’s secure infrastructure

June 27, 2025 //  by Finnovate

Tines announced autonomous AI capabilities within its workflow automation platform via the launch of agents. Agents mark a significant evolution in Tines’ platform, enabling customers to automate workflows with maximum control and flexibility, whether with deterministic logic, human-in-the-loop copilots, or full AI autonomy. Agents enable Tines customers to build intelligent, context-aware workflows that can act independently, suggest next steps, and collaborate with users in real time. The addition of agents allows customers to choose the right level of AI involvement for every workflow, ensuring organizations can implement AI automation that aligns with their specific security requirements, levels of complexity, and operational needs. Unlike traditional AI implementations that require external data sharing or compromise on security, Tines’ agents run entirely within the platform’s secure infrastructure. This ensures no customer data leaves the environment, is logged, or used for training, delivering the privacy and governance assurances that enterprise teams demand. Tines capabilities: Full-spectrum automation and orchestration: Apply the right level of automation with flexibility—from manual to fully autonomous—within a single platform. Enterprise-grade security: Built by security professionals, Tines keeps all automation and data within its own infrastructure. Seamless system integration: Connect any tool, LLM, or proprietary app to build, augment, and orchestrate intelligent workflows. Intuitive no-code interface: Easily design complex, mission-critical workflows with drag-and-drop tools and built-in collaboration features. User-friendly adoption: Deploy apps, chatbots, and integrations with popular tools such as Slack to boost usage and maximize ROI on AI initiatives.

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Category: AI & Machine Economy, Innovation Topics

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