Transforming employee training with AI-driven workflows

The challenge

The Training Center serves as Coherent Solutions’ hub for building engineering skills. As more employees requested AI training, the Center’s current workflows couldn’t keep up with demand.

Trainers reviewed assignments manually, checking each code submission individually, and repeating feedback across teams and departments. The review process took several days, slowing learning and limiting training participation.

In addition to manual assignment review, the Training Center’s knowledge-sharing projects, such as EduDigest, required ongoing input from experts. Participation in these projects was inconsistent, and content creation relied on manual research, drafting, review, and formatting.

These challenges made it harder for the Training Center to grow its programs, keep content up to date, and help the whole organization adopt new technologies, including AI.

Our approach

Coherent Solutions saw the problem as an operational issue, rather than a training challenge. Consequently, the goal was to streamline workflows by cutting out repetitive, time-consuming tasks.

The team decided to adopt AI automation in two key areas:

• Using clear rubrics to automate assignment evaluation and grading.

• Applying a multi-agent system for research, content drafting, and knowledge generation.

As with other AI projects, Coherent’s main goal was to integrate the technology with human judgment, not replace it. While AI would take care of repetitive grading and data collection, trainers would still make the final decisions on validation, curriculum, and learning results.

The solution

This project was a perfect opportunity to apply Coherent’s CDL approach. When more output leads to coordination and feedback problems, CDL builds validation and feedback into daily work, so systems can grow smoothly without extra hassle.

We applied a CDL framework to build solutions and workflows for automated assignment checks, training feedback, and AI-generated educational content creation.

Automated grading system

We built an internal system to check code submissions against set criteria. It reviews assignments, ensures requirements are met, and provides structured feedback several times a day.

Now, this automated system handles most assignment reviews. It reduces the need for manual checks and keeps feedback consistent.

AI-powered knowledge generation (EduDigest)

To solve the Training Center’s content creation challenges, Coherent set up a multi-agent AI workflow that:

• Scans for relevant trends and resources

• Identifies books, tools, and materials

• Validates links and sources

• Compiles structured draft digests by practice area

With this workflow, content drafts are generated in minutes and sent to subject matter experts to review and edit. This makes it easier for experts to participate, without sacrificing quality or technical expertise.

Large-scale engineering training

With the Center’s new AI-driven training workflows in place, the team created a clear, multi-level AI learning framework to help employees across the organization build their skills. This framework addressed employees’ needs for varying levels of AI literacy, from basic knowledge to advanced engineering skills. Framework levels included:

This setup establishes a clear path from basic AI information to production-level skills. The automated grading and knowledge generation systems ensure the program can scale smoothly and support company-wide participation.

The impact

Enhancing Training Center processes with AI-driven automation led to clear improvements in operations and in the adoption of new tools.

• Automating 80% to 90% of assignment reviews reduced manual work.

• Providing training feedback in hours instead of days, helped participants complete courses faster.

And, with automation efforts improving the Training Center’s ability to scale, 756 employees completed AI training and enrolled in 1,116 courses. In total, more than a third of employees have participated in the training program.

With consistent access to AI training, employee behaviors and attitudes towards the technology began to change.

At the beginning of 2025, less than half of AI training program participants used AI regularly in their roles. By year’s end, AI use became the norm in training groups, with the focus shifting from AI adoption to skillful application.

Overall, the Training Center has used AI-driven workflows to make its curriculum more flexible and relevant. The Center can update Core AI courses monthly to keep pace with evolving tools and practices.

What’s next

The Training Center will continue to scale, offering more training for developers and rolling out new learning initiatives.

Additionally, Coherent Solutions is taking the success of this project’s AI application and using the same approach to improve delivery and engineering workflows. The goal is to evaluate operational inefficiencies, not just the symptoms; develop AI-driven workflows to support human decision-making and judgment; and upskill employees to integrate and apply AI effectively.

This change sparked a move from individual AI projects to a holistic approach that applies AI across entire systems. Moving forward, the company’s focus is on building skills through ongoing feedback and using automation to help people learn while improving how we deliver.