Fiery has launched JobFlow Pro, a new AI-assisted workflow automation platform designed to support a wide range of production print environments, from smaller operations through to high-volume sites. The new platform is positioned as a next-generation evolution of Fiery JobFlow, offering event-driven automation and optional AI-assisted decision-making within prepress workflows.
JobFlow Pro has been built from the ground up to address increasing job complexity and production volumes, with the aim of reducing manual intervention while improving throughput and consistency. Unlike traditional rule-based workflow systems that rely on filenames or static metadata, the platform analyses the content of each job to determine job type, routing, and appropriate presets. Preflight results are also translated into clearer, more accessible language to help operators understand and resolve issues more quickly.
The platform’s AI capabilities are optional, with Fiery stating that users retain control over their data and how AI assistance is applied. According to the company, this approach is intended to make the system suitable for operators with different experience levels, while also supporting faster onboarding of new staff.
JobFlow Pro uses a new high-performance architecture designed to scale from a single printer to multi-device, multi-vendor environments. It connects directly to Fiery servers, drawing on presets and queue information via Fiery Command WorkStation, and integrates with Fiery makeready solutions so that imposition and finishing steps can be applied consistently as part of the workflow.
Workflows can be created and modified using a drag-and-drop editor, without the need for scripting or IT support. Fiery says this allows print operations to adjust workflows as requirements change, while remaining within the wider Fiery ecosystem.
The platform is also designed to support connected, Industry 4.0-style production environments. JobFlow Pro can ingest jobs from sources including hot folders, MIS, and web-to-print systems, email, and (s)FTP. Workflows can be triggered by real-time events such as printer status changes, barcode scans, time-based triggers, and shop-floor or IoT sensor data, using open standards including MQTT (Message Queuing Telemetry Transport).
“AI is a groundbreaking technology, and organizations around the world are looking for how AI can help them increase productivity,” said Toby Weiss, CEO, Fiery. “That’s why we built Fiery Job Flow Pro with an AI-centric architecture that automatically analyzes incoming jobs, chooses the correct job settings, and tells you what’s going on in language that reflects your experience level.”
Fiery JobFlow Pro is available on a subscription basis and supports multiple Fiery servers from a single licence.
