top of page
Search

How AI Actually Fits Into Your Training Development Workflow

After facilitating a workshop for an agency last month, someone asked me a question that stopped me in my tracks: "How do you incorporate AI into your workflow?"

Not which tools I use. Not what AI can do. But how it actually fits into the daily work of developing training.

We talk a lot about AI capabilities, but less about the messy reality of actually working with it day-to-day. So let's fix that.

The Truth About AI Workflow Integration

Here's what nobody tells you: you don't need to revolutionize your entire process. You just need to identify the bottlenecks that AI can actually help with. The biggest shift isn't learning new tools — it's recognizing the moments in your existing workflow where AI can step in. Think of it as building AI checkpoints into work you're already doing.

Step 1: Initial Planning (30 Minutes With AI vs. 2 Hours Without)

Start in Claude Projects with all your background materials uploaded. Structure your prompts consistently:

  • First, define the role: "You are an expert instructional designer specializing in law enforcement training"

  • Then, clear instructions: "Create a module outline for 4-hour de-escalation training"

  • Specific requirements: "Must align with current policies, include 60% scenario practice, target officers with 5+ years experience"

  • Context: upload relevant policies and previous training materials

Then — and this is the key — don't accept the first response. Iterate: "Add more scenario practice time" or "Include policy review in section 2." AI drafts; you direct.

Step 2: Content Development (2 Hours vs. 6 Hours)

Work in sections, not all at once. For each section, the workflow looks like this:

  • Generate initial content with AI

  • Add department-specific examples (manual)

  • Remove anything that doesn't match your jurisdiction (manual)

  • Brainstorm activities and exercises with AI

  • Insert real anonymized case studies (manual)

  • Adjust terminology to match your policies (manual)

Step 3: Assessment Creation (45 Minutes vs. 3 Hours)

Assessment writing is where AI saves the most time. Use the same structured prompt approach: define the role, the task, the requirements, and paste your learning objectives as context.

One workflow trick: generate twice as many questions as you need, then cherry-pick the best ones. For online assessments, also prompt for post-answer feedback — this is a vital component of effective learning that used to take significant time to write.

Step 4: Review and Polish (No AI Shortcut Here)

Subject matter expert review, legal review, and field-testing remain manual. AI doesn't replace professional judgment — and it shouldn't. This step still takes the same time it always has.

The Workflow Patterns That Actually Stick

After a year of trial and error, these are the habits that actually made it into the daily routine:

Morning brainstorm sessions. Start complex projects with a 15-minute AI brainstorm. No structure needed — just dump ideas and see what comes back. This replaced staring at a blank page.

The two-monitor method. AI on one screen, your document on the other. Prompt, copy the useful bits, keep working. No complex integration — just side-by-side work.

The beginning-end principle. AI pays most attention to the beginning and end of prompts. Put critical requirements at the start and end, details in the middle. It makes a measurable difference in output quality.

Where AI Doesn't Fit (And That's Okay)

Being honest about where AI doesn't help is just as important as knowing where it does. SME interviews, gathering operational stories from the field, and observation for situational context all still require a human. AI is a tool in the workflow — not the whole workflow.

Want to Build This Into Your Team's Process?

Odin Training Solutions offers private virtual workshops that walk training teams through exactly this kind of workflow integration — using your department's actual projects, not hypothetical examples.

90-minute AI Accelerator: $1,000 CDN / $750 USD | 4-hour Interactive Workshop: $2,500 CDN / $2,000 USD

Reach out at kerry.avery@shaw.ca to talk about what would work best for your team.

 
 
 

Comments


bottom of page