
Tines Launches AI Interaction Layer to Unify Agents, Copilots and Workflows
Why It Matters
The layer gives enterprises a practical path to operationalize AI at scale while preserving security and compliance, tackling the industry‑wide 88 % PoC failure rate. It signals a shift toward integrated, governable AI ecosystems rather than isolated pilots.
Tines launches AI interaction layer to unify agents, copilots and workflows

Workflow automation company Tines Security Services Ltd. today announced the launch of AI in Tines, an “AI Interaction Layer” comprised of capabilities designed to solve artificial intelligence fragmentation.
The new capabilities provide a single, secure and intuitive layer for interacting with AI and integrating it with real systems, allowing organizations to move beyond stalled proof‑of‑concepts and embed AI across operations.
Though AI adoption is accelerating, the resulting value remains inconsistent. According to International Data Corp., 88 % of AI proof‑of‑concepts never make it to production, largely because standalone AI deployments lack the necessary context and connectivity to execute complex tasks securely. Times also argues that as organizations rush to adopt tools like AI agents or custom GPTs, data and processes are becoming blocked by disparate application programming interfaces and permissions.
“Every organization is experimenting with AI, but most are struggling to operationalize it,” said co‑founder and Chief Executive Eoin Hinchy. “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 addresses the AI adoption issue by acting as a single pane of glass across people, AI models and enterprise systems. The new capabilities allow organizations to standardize how they interact with AI, whether through chat, agents, workflows or Model Context Protocol (MCP) capabilities, while maintaining full visibility, governance and control.
Key capabilities of Tines’ AI Interaction Layer include:
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Unified AI orchestration – a single interface to manage AI agents, MCP clients, MCP servers and copilots. Full MCP support allows teams to build MCP servers directly in Tines, defining exactly what AI can access and how those capabilities are used.
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Human‑in‑the‑loop control – teams can define when and how AI participates in a process. Users can interact via chat to trigger workflows, retrieve context, or approve high‑stakes actions, ensuring AI augments daily, important work.
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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 needed for compliance and governance.
“We are building for the hands‑on users who care about execution and the leaders who care about control,” added Hinchy. “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.”
Tines is a venture‑capital‑backed startup that has raised $272 million over six rounds, including a $125 million round in February 2025. Investors include Goldman Sachs Group Inc., SoftBank Vision Fund LP, Activant Capital Group, Accel Partners LP, Felicis Ventures Management Co., Addition and CrowdStrike Holdings Inc.
Image: Tines
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