AI is everywhere, but without a consistent and secure way to connect it to real systems, it remains fragmented, difficult to govern, and hard to scale.
Today, we’re introducing your AI interaction layer. Tines unifies AI agents, copilots, and Model Context Protocol (MCP) servers and clients in a single, secure environment. It gives teams a practical way to connect AI to systems and put it to work seamlessly across operations.
Where people, AI, and systems work together
According to IDC, 88% of AI proof-of-concepts never make it to production because standalone AI deployments lack the context and connectivity required to execute complex tasks securely.
Tines closes that gap. By acting as the single pane of glass across people, AI models, and enterprise systems, it standardizes how teams interact with AI while maintaining full visibility, governance, and control.
As Eoin Hinchy, CEO of Tines, explains:
AI in Tines isn’t just another copilot or agent. It’s a path forward toward unifying AI experiences through intelligent workflows. It’s about giving teams the confidence to scale AI responsibly, knowing that security and governance are built in instead of bolted on.
What do we mean by an AI interaction layer?
AI struggles to deliver when systems are fragmented, data is hidden, and tools don’t talk to each other. Intelligent workflows provide the underlying plumbing: a connected, private, and consistent way for AI to power day-to-day work. Your AI interaction layer provides a standardized approach for teams across your organization to interact with AI.
Unlock key capabilities across your organization
Unified AI orchestration
Your AI interaction layer provides a single interface to manage AI agents, MCP clients, MCP servers and copilots, connecting them to existing systems and workflows under one governed model.
MCP support
Within most platforms, MCP exposes tools to AI. And while you can of course do this in Tines, we also take this to the next level by enabling teams to build MCP servers directly in the platform. You can then define exactly what AI can access and how those capabilities are used.
Whether you're using AI in Tines or in another product, Tines always acts as the layer between. You can decide where AI suggests, assists, or acts, with approvals and built-in oversight.
Human-in-the-loop control
Capabilities that allow teams to define exactly when and how AI participates in a process. You can interact via chat to trigger workflows, retrieve context, or approve high-stakes actions, always ensuring your preferred level of control.
Secure-by-design auditing
Every AI action, tool call, and outcome is logged within the Tines platform, providing IT and security teams with the audit trails required for compliance and governance.
A consistent way to bring AI into everyday work
Together, these capabilities give teams across your organization a consistent way to engage with AI while keeping workflows, systems, and governance tightly aligned.
Move AI from experiment to production. Start using it in Tines, or try it free with Community Edition.