Providing general AI training for all your employees is one of the fundamental early maturity steps. With help of Gen AI, the gruelling task of creating this training is now easier than ever. For decades, the “Iron Triangle” of corporate training—Speed, Quality, and Cost—often forced executives to pick two. If you wanted a high-quality compliance course for your traders or a rigorous clinical safety module for nursing staff, you accepted a three-month development cycle. If you needed it next week, you accepted “click-next-to-continue” mediocrity.
Generative AI has broken this triangle.
The provocative truth is that many organizations are still paying premium rates for “instructional design” that is largely administrative text assembly. As an executive leader, your new mandate isn’t just to cut costs; it is to shift your Subject Matter Experts (SMEs) from writers to architects.
Here are five pragmatic ways knowledge experts in Finance, Healthcare, and Tech can use GenAI to accelerate course creation without sacrificing the nuance your industry demands.
1. Brainstorming & Sharpening Course Focus
Scenario: Financial Services (Regulatory Compliance)
New anti-money laundering (AML) regulations have just dropped. Usually, an SME would stare at a blank page, trying to outline a course that covers the legal text without putting employees to sleep. AI can instantly synthesize the “must-knows” from the “nice-to-knows.”
The Prompt:
“Act as a Senior Compliance Officer in a North American commercial bank. I am pasting the executive summary of the new 2025 AML regulations below. Outline a 20-minute micro-learning course for front-line tellers. Focus strictly on three behavioral changes they must make in their daily interactions. Exclude high-level legal theory.”
Why this works: It forces the AI to filter complex data through a specific persona and outcome, saving the SME hours of structuring time.
2. Drafting “First Pass” Course Content
Scenario: Software/IT (Secure Coding Practices)
Your engineering leads are too busy shipping code to write training modules on the latest OWASP vulnerabilities. Instead of asking them to write a course from scratch, ask them to review a draft. It is easier to critique than to create.
The Prompt:
“Acting as a Corporate training developer, Draft three training modules on ‘preventing SQL injection’ for mid-level Java developers. Use a pragmatic, peer-to-peer tone. For each module, provide: 1) A bad code snippet, 2) An explanation of why it is vulnerable, and 3) The corrected secure code snippet. Keep the explanation under 200 words per module.”
Why this works: You get technical accuracy (which your SME can quickly verify) formatted specifically for an instructional context, bypassing the “writer’s block” phase entirely.
3. Creating Relevant Training Visuals
Scenario: Healthcare (Patient Experience)
Stock photography in healthcare training is often sterile and unrealistic. You need visuals that evoke empathy and realism—a busy triage nurse, a concerned family member, or a complex patient interaction—without the cost of a photoshoot.
The Prompt (for an Image Generator):
“Acting as a Corporate training designer, create a Photorealistic image, eye-level shot from a patient’s perspective looking up at a compassionate nurse in blue scrubs holding a tablet. The setting is a busy modern hospital ER, slightly blurred background. Soft, clinical lighting. Diverse representation. Aspect ratio 16:9.”
Why this works: It creates bespoke assets that match your specific clinical environment and branding instantly, increasing learner immersion.
4. Generating Validated Assessment Questions
Scenario: Cross-Industry (Executive Leadership)
Writing good test questions is deceptively difficult. “Trick” questions frustrate learners; easy questions insult them. AI excels at creating scenario-based questions that test application rather than memorization.
The Prompt:
“Acting as a Corporate training instructor, Create 5 multiple-choice scenario questions based on the ‘Conflict Resolution’ text I have pasted below. Target these questions at Senior Directors. The distractors (wrong answers) must be plausible mistakes a new leader would make, not obvious errors. For each question, provide a rationale for why the correct answer is the best strategic choice.”
Why this works: It moves assessment away from “remembering terms” to “evaluating situations,” which is the standard expected of senior leadership.
5. Scripting Video Content for Avatars
Scenario: Insurance/Finance (Claims Processing Updates)
Video is the gold standard for engagement, but filming executives is a logistical nightmare. Using AI avatars (like Synthesia or HeyGen) allows you to update training videos just by changing the text. The secret is scripting for the ear, not the eye.
The Prompt:
“Acting as a Corporate training video editor, Rewrite the following policy update into a 60-second video script for a virtual avatar presenter. The tone should be reassuring but urgent. Use short sentences. Avoid corporate jargon. Explicitly address the ‘What’s in it for me’ for the claims adjuster listening to this.”
Why this works: It creates a script that sounds natural when spoken, ready to be fed directly into an AI video generator, turning a PDF update into an engaging video in minutes.
The Executive Takeaway
Generative AI does not replace the expertise of your senior leaders; it amplifies it. By automating the structure, drafting, and asset generation, you free your experts to focus on the 5% that matters most: accuracy, nuance, and strategic alignment.
Don’t let your teams build training like it’s 2015. Give them the tools to build it at the speed of business.
This article was written with the assistance of my brain, Google Gemini, ChatGPT, and other wondorous toys.
Adam Outside The Box 