× Know More

Tines Launches AI Interaction Layer to Unify AI Agents, Copilots, and MCP Workflows for Enterprise-Scale Adoption

Tines

Tines announced the release of its new AI Interaction Layer, a comprehensive capability set designed to help organizations unify AI agents, copilots, and Model Context Protocol (MCP) servers and clients in a single, secure environment. The new offering enables enterprises to move beyond fragmented proof-of-concept AI implementations and integrate artificial intelligence seamlessly into mission-critical workflows across business operations.

AI remains pervasive across industries, yet governance challenges, lack of standardized connectivity, and isolated deployments have hindered widespread operationalization. Research cited by the company shows that 88 percent of AI proofs of concept never reach production because standalone AI systems lack the context and connectivity required to execute complex tasks securely. Tines addresses this gap by providing a unified platform that acts as a single pane of glass across people, AI models, and enterprise systems, standardizing how teams interact with AI while maintaining full visibility, governance, and control.

“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.” said As Eoin Hinchy, CEO of Tines.

Also Read: Siemens Acquires ASTER Technologies for PCB Test Engineering

The AI Interaction Layer provides a consistent and secure interface for orchestration across AI capabilities and enterprise systems. Key features include unified AI orchestration, enabling organizations to manage AI agents, MCP clients, MCP servers, and copilots under a single governed model; full support for building and deploying MCP servers directly within the platform, giving teams fine-grained control over AI system access; human-in-the-loop control to define precisely when and how AI engages in a process through chat or workflow triggers; and secure-by-design auditing that logs every AI action, tool invocation, and outcome for compliance and governance oversight.

The new AI Interaction Layer empowers teams to interact with AI reliably and securely, reducing fragmentation and scaling AI from experiment to enterprise production. Organizations can choose where AI suggests, assists, or acts, with built-in oversight to ensure alignment with internal policies and operational requirements.

SOURCE: Tines