Poka has announced a major expansion of its Industrial AI strategy for Connected Work, introducing a new roadmap that includes a no-code AI Studio and a Model Context Protocol (MCP) server. These additions build on its existing governed AI agents already deployed across industrial environments. The company’s latest move aims to make Industrial AI more accessible, scalable, and deeply integrated into shop floor operations, enabling manufacturers to build and deploy intelligent agents without requiring coding expertise.
Poka is strengthening its position in the Industrial AI space with a roadmap centered on governed, workflow-integrated AI agents. The company aims to bring AI directly into manufacturing environments, addressing operational challenges such as workforce knowledge loss, regulatory compliance, and limited impact from early horizontal AI deployments on factory floors.
The new strategy is built around embedding AI within real operational workflows rather than treating it as an external enterprise layer.
A key component of the roadmap is the introduction of Poka AI Studio, a no-code environment that allows industrial teams to design and deploy AI agents. These agents can be configured to support critical shop floor processes such as troubleshooting, work instruction management, and operational analytics.
The platform enables manufacturing teams to build customized AI workflows using templates or from scratch, reducing dependency on engineering resources while accelerating deployment across production environments.
Poka has also launched a production-ready Model Context Protocol (MCP) server, enabling external AI assistants to interact directly with Poka’s data and workflows. This allows enterprise AI tools to access real-time operational insights and execute queries within industrial systems.
With built-in authentication, permission controls, and governance, the MCP server ensures secure integration across AI ecosystems while maintaining compliance and operational integrity.
Poka’s governed AI agents are already deployed with industrial customers and support multiple operational use cases. These include problem-solving assistance for operators, real-time analytics for operational trends, and knowledge retrieval from technical documentation and troubleshooting guides.
These agents are designed to reduce downtime, improve decision-making speed, and standardize operational knowledge across large-scale manufacturing environments.
The roadmap responds to several structural challenges in the industrial sector, including workforce attrition, increasing regulatory complexity, and the limitations of earlier AI implementations on the shop floor.
By capturing and distributing operational knowledge through AI agents, Poka aims to preserve institutional expertise and make it accessible across shifts, sites, and geographies.
Poka has opened an invitation-only Early Access Program for its AI Studio platform. Selected manufacturers will collaborate directly with Poka engineers to deploy AI agents, measure operational impact, and influence product development.
The program is designed to accelerate real-world adoption while refining the platform based on direct industrial feedback ahead of general availability in October 2026.
With deployments across thousands of sites and millions of frontline workers, Poka is positioning its AI platform as a core layer for connected industrial operations. Its governed AI framework ensures that all AI-driven decisions remain auditable, compliant, and aligned with operational requirements.
The company continues to expand its global footprint, reinforcing its role in shaping the future of Industrial AI for manufacturing and connected work environments.
About Poka
Poka is the leading Industrial AI platform for Connected Work. Founded in 2014, Poka powers more than 1 million frontline workers across 3,000+ sites in 70+ countries and 17 languages, with customers including Nestlé, Bosch, Mars, Danone, L'Oréal, Tetra Pak, Coty, Hitachi, and Flora Food Group. Poka's governed AI agents run on twelve years of real-time frontline workflow data. Poka was named Leader in both the Growth and Innovation indices of the 2025 Frost Radar for Connected Worker, and in 2026 is shipping production-grade Industrial AI to the factory floor. Poka is part of IFS. Learn more at www.poka.io.
