Organizations don't need more training content — they need the right problems solved.
That distinction is the foundation of every engagement I take on. Before a single slide is designed or a module is built, I work alongside stakeholders to determine whether the performance gap they're seeing is truly a training problem, or something else entirely: a broken process, missing documentation, unclear expectations, or a systemic workflow issue. That diagnostic rigor is what separates instructional design as a professional service from instructional design as content production.
When training is the answer, I bring the ability to diagnose a performance problem, design a solution that changes behavior, and deliver it in formats built to function within your existing technical ecosystem.
My work at Edubitz spans construction, healthcare, higher education, oil and gas, legal, and other specialized industries. I develop product knowledge, technical, compliance, workplace safety, onboarding, and professional development training.
Since generative AI became widely available, I have integrated a range of AI tools into my instructional design and development workflows. I select different AI platforms for different purposes, including research support, content analysis, scripting, visual development, quality assurance, accessibility, and production. These tools help improve productivity, consistency, and accuracy, while professional judgment, instructional strategy, and subject-matter expertise remain at the centre of every project.
That's a specialized professional service, and it's built on three core pillars.
Pillar 1: Diagnostic Expertise
Clients often arrive saying “we need a course on X” when the real issue is a process gap, a documentation gap, or a management problem that no amount of eLearning will fix.
My first job in any engagement is to determine whether training is even the right intervention. This isn’t a formality, it’s a disciplined front-end analysis that examines performance data, stakeholder assumptions, and operational workflows to identify the actual root cause.
AI-assisted analysis can help me review large amounts of source material, identify inconsistencies, compare documentation, and surface patterns more efficiently. However, the diagnosis itself still requires human judgment, context, stakeholder collaboration, and an understanding of how people actually perform their work.
When training isn’t the answer, I say so, and I recommend what is. That kind of honesty saves organizations tens of thousands of dollars in misallocated development costs and positions me as a trusted advisor, not just a vendor waiting for a scope of work.
Pillar 2: Design Skill
When training is the right solution, the quality of that training matters.
I translate complex subject matter into learning experiences that are built to change behavior, not just transfer information. That process includes needs analysis, measurable learning objectives, deliberate content architecture, meaningful assessments, and interactions that go well beyond click-next.
I use different AI tools to support different stages of the design process. Depending on the project, that may include organizing subject-matter expert content, developing draft scenarios, generating assessment variations, refining scripts, checking terminology, exploring visual concepts, or identifying gaps in source materials.
AI makes the workflow faster and more scalable, but it does not replace instructional strategy. Every output must still be reviewed, verified, adapted to the audience, and aligned with the intended performance outcome.
This is a craft developed over years of practice across multiple industries, grounded in evidence-based instructional methodology. The difference between a course that checks a compliance box and one that actually shifts on-the-job performance is design discipline, and that’s what I bring to the table.
Pillar 3: Technical Execution
Design without delivery is just a document.
I build production-ready learning solutions using industry-standard tools including Articulate Storyline and Rise 360, and I do it with an informed understanding of how regulated environments work.
My experience spans oil and gas, legal, and construction - industries where compliance requirements shape every design decision, where content must meet rigorous documentation standards, and where getting it wrong carries real operational and legal consequences. That cross-industry fluency means clients don’t spend weeks bringing me up to speed on how their world works. I understand the constraints, I build within them, and I deliver assets that function inside the technical ecosystem your teams already use.
My experience spans construction, healthcare, higher education, oil and gas, legal, and other industries where compliance requirements, product accuracy, documentation standards, accessibility, and operational realities shape every design decision.
I also use AI-supported workflows and structured production pipelines to streamline development, maintain consistency, reduce avoidable errors, and accelerate tasks such as scripting, storyboarding, media preparation, quality checks, and content updates. I do not rely on a single platform. I select the AI tool that best fits the task, the content, the security requirements, and the stage of development.
In regulated or high-risk environments, AI-generated material is never treated as automatically correct. Technical claims, compliance language, healthcare information, product specifications, and safety procedures require careful validation with approved sources and subject-matter experts.
That cross-industry fluency means clients do not need to spend weeks bringing me up to speed on how their world works. I understand the constraints, build within them, and deliver assets that function inside the technical ecosystem their teams already use.
Every engagement I take on is guided by these three pillars. The result is learning solutions that are strategically sound, instructionally rigorous, technically executable, and supported by modern AI-enabled workflows.
The goal is not simply to satisfy a training request. It is to solve the business problem behind it, improve the development process, and create learning that people can understand, apply, and trust.
That's not just instructional design. That's respect for the person on the other side of the screen.