LEARNING ENGINEERING
AND THE FLOW OF WORK
In today’s world of rapid change and rising complexity, traditional training can’t keep up. Employees and learners need support at the point of performance, not just courses after the fact.
Defined by IEEE Learning Standards and ICICLE™, Learning Engineering invokes learning science, systems thinking, and data-informed design to build scalable, measurable, and adaptive solutions. At RePubIT, we don’t just support Learning Engineering—we deliver it, by uniting intelligent AI tools, content-driven ecosystems, and the kind of infrastructure only decades of publishing and workflow innovation can provide.
We build systems that solve real problems—on the job, in the moment, and with insight that grows over time.
Optimize Your Workflow and Content Strategy
RePubIT brings deep expertise in workflow optimization, grounded in 20+ years of building digital systems for publishing, education, and enterprise environments.
We’ve helped organizations:
- Re-architect their knowledge workflows for clarity and efficiency,
- Implement content reuse strategies that reduce duplication and errors,
- Integrate learning content directly into operational systems and processes.
Our roots in Digital Asset Management (DAM) and Content Management Systems (CMS) inform every solution we design. This means our Learning Engineering approach doesn’t just look good on paper—it scales, it integrates, and it works within your existing infrastructure.
Build Learning That Performs
At RePubIT, we help organizations move beyond course-centric thinking to build learning ecosystems that:
- Embed guidance and support directly into employee workflows,
- Deliver performance-focused content at the Five Moments of Need®,
- Use real-world data to continuously improve learning and business outcomes.
This isn’t about replacing training. It’s about extending learning into the flow of work, powered by performance data and grounded in content discipline.
Digital Coach & Rapid Workflow Analysis
5MoN Digital Coach: Our most powerful tool for real-time performance support, aligned with the Five Moments of Need® framework:
- 2-click, 10-second access to step-by-step job guidance,
- Role-based task support designed from Rapid Workflow Analysis,
- Content maintained through EnABLE methodology and real-world analytics.
Designed for teams that need to perform now—and learn while doing.
GhostDrafter
An AI-powered authoring assistant that helps L&D teams and subject matter experts:
- Draft targeted performance support content,
- Transform legacy manuals into mobile-ready learning assets,
- Accelerate design using curated Large Language Models (LLMs) from OpenAI, Claude, Gemini, and others.
Perfect for organizations who need volume, velocity, and voice alignment—without compromising accuracy.
AI Chat Companion
AI Chatbot Companion: This multilingual, embedded learning assistant transforms passive reading into active engagement:
- Learners ask real questions in natural language,
- The bot answers using only your vetted content,
- Citations and page references ensure transparency and trust.
Available 24/7, it’s a built-in mentor, study guide, and live help desk—without extra support staffing.
Track performance with analytics
Data – Information – Knowledge
Data alone does not tell the story. RePubIT understands that meaningful measurements provide information and that information must be reported in a simple and clear manner to give knowledge of what people are really doing with eLearning — or any digital publication in our RePubIT ecosystems.
Institutions and corporations are assisted in providing personalized or remediated content based on student needs and unique learning differences.
Instructors and mentors will soon demand not just mere reports of student activity and formalized notification of outcomes, but a realtime dashboard allowing individual and group coaching. RePubIT is building these solutions now to incorporate the latest in Learning Analytics with meaningful and informative reporting across our RePubIT solutions.
For stakeholders, aggregated analytic results provide insight and a deeper understanding of course content effectiveness and multilevel views of where current materials can be enhanced or improved to reduce cost and deliver better outcomes.