We would like to share the impressive outcomes from our recent partnership with Evormore (evormore.ai). Students in our fourth year GCM 461 Workflow Automation course have spent the term working within a dedicated, sovereign, instance of Evormore’s GPT MORE infrastructure, an AI platform donated by Evormore (evormore.ai).

Toronto, Canada—Objective: help the soon-to-be-graduates develop the skills and experience to act as ‘Reverse Mentors’ for the potential of Agentic AI for automation.

To accomplish this, the students first built up their Agentic AI knowledge through designing functional, role based, AI Agents. These Agents were configured and supplied with knowledge, to support a variety of professional roles - including ‘Junior Analyst’, ‘Estimator’, and ‘Creative Review’.

This wasn’t just about "chatting and prompts" with AI - it was about System Architecture. By leveraging Sovereign IT (where data stays secure on regional servers), our students moved beyond basic prompts to ‘Agentic AI’; building a system that can plan steps and use external tools to complete complex tasks.

Next the students leveraged this experience, working in groups, to design and build prototype functional, ‘end to end’ workflows for a variety of scenarios. Here, the ‘Agents’ were a key part of a technology ‘stack’, used to address real-world operational challenges.

Student Success Highlights:
From Unstructured to Automated: Students built role-based AI agents capable of taking raw client emails and job orders and transforming them into structured data for production. Examples of functional AI Agents students built for this project include:

‘PrintFlow’ - analyzes emails, extracts relevant job data, and populates a spreadsheet with it. Can provide a list of missing data, as well as a ‘confidence score’ - a low score is used a trigger for human intervention

‘Jr. Estimator' - analyzes complete job requests, references internal data to develop costing, and supplies an estimate

‘Creative Review’ - analyzes creative content, using knowledge of design principles as well as relevant branding guidelines, and supplies feedback

Operational Logic Integration: Group projects integrated AI into an "Industrial Stack,"
using it as a decision-maker for scenarios such as:

Print Shop - building an Agent to capture print order information from email and then acting on that information - for both job docket information, as well as job file routing

Content Studio - developing Agents for taking client orders, as well as creating and storing final images of on model product photography, delivered to an Asset Management system

Consumer Packaging - designing an Agent for intake of jobs into prepress to process and manage both print and finishing files

All these solutions used a variety of other workflow tools, including Enfocus Switch, Kodak Prinergy Workflow and Insite Prepress Portal, Adobe Creative Suite apps, as well as cloud-based tools such as Trello and Zapier. End points included print, packaging, as well as content management systems.

Workforce Readiness: by working through the different processes, and adapting their strategies, students gained experience with problem-solving skills, as well as a perspective on Agentic AI capabilities relevant to graphic communications. Thank you to Evormore, and others, for supporting this learning opportunity for GCM students.