Tines, a leader in intelligent and cloud-based workflow platforms, recently unveiled AI in Tines. It is a robust engagement interface that can combine AI agents, copilots, and Model Context Protocol tools within a secure atmosphere. Currently, fragmentation exists in AI adoption. The tool will facilitate AI adoption and help organizations migrate AI from experimentation and pilot projects to production.
“Because the adoption of AI is scaling rapidly across so many industries, the biggest challenge organizations are facing is integrating the various tools of AI into a real-world workflow. Studies show that 88% of the results of AI proof-of-concepts are never deployed because stand-alone AI does not have the context or the connectivity necessary to perform complex operations safely and successfully.”
Filling the gap for such interaction, the interaction layer for AI provides a common interface combining the elements of people, AI models, and enterprise systems within a unified governance structure. Standardizing the interaction of teams with AI chat, agents, workflows, and MCP capabilities means that Tines enables the enterprise with increased visibility and governance.
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Unifying AI Across the Enterprise with Governance and Control
The AI interaction layer from Tines delivers key enterprise-ready capabilities that help organizations embed AI into everyday work:
- Unified AI Orchestration: A single, secure interface to manage AI agents, MCP clients and servers, and copilots, seamlessly integrating them into existing systems and workflows.
- Advanced MCP Support: Enables teams to build MCP servers natively within Tines and define the precise scope of AI access and actions, ensuring tight governance over AI system interactions.
- Human-in-the-Loop Control: Offers flexible mechanisms for humans to influence AI execution from chat-initiated workflows to contextual approvals on high-risk decisions keeping control where it matters most.
- Secure-by-Design Auditing: Logs every AI action, every tool call, and each decision outcome into extensive audit trails that underpin compliance and enterprise-grade security requirements.
It harmonizes these capabilities, enabling organizations to take AI from experimental projects to trusted, core production workflows that are natively governed, transparent, and scalable.
Executive Perspectives
As Tines’ co-founder and CEO explained: “Every organization is experimenting with AI, but most are struggling to operationalize it. We are seeing a landscape cluttered with isolated copilots that use limited real-world value, and ‘black box’ agents that IT leaders are afraid to trust. Tines has changed that paradigm. We give teams a way to shape AI behavior through intelligent workflows, ensuring that when AI interacts with systems, it does so securely, predictably, and on the customer’s terms.”
Christopher Kissel, Research Vice President, Security & Trust Products at IDC, added: “As organizations move beyond AI proof-of-concepts, Tines’ new capabilities provide a critical governance layer for the AI ecosystem. Their strategy allows teams to adopt agents, copilots, and MCP tools securely, ensuring that integrating AI into real-world workflows doesn’t come at the cost of visibility or control.”
Tines is already trusted by some of the world’s most advanced organizations including Coinbase, Databricks, Mars, Reddit, and SAP to power mission-critical workflows and deliver measurable improvements in productivity, operational efficiency, and risk mitigation.
