The Person — Geremy Jackson, Director of IT Training
Geremy Jackson has spent nearly two decades in learning and development across education and enterprise environments. He joined LCMC Health in 2024 as Director of IT Training with deep expertise in scaling training programs and building instructional design teams.
At LCMC, he oversees two teams: credential trainers who deliver field training, and principal trainers who create microlearning content for nurses, physicians, and clinical staff navigating Epic and other systems. They're smart subject matter experts without production experience.
One Mistake and You Restart, One Revision and You Re-Record
Before Jeeves, video creation was painful enough that most team members avoided it altogether.
For Geremy personally, the process required a dedicated workspace with three monitors, a perfect script prepared in advance, and intense focus. He would set up his home office, silence all notifications, and then perform a delicate act: read narration while simultaneously monitoring screen clicks, minimizing the gap between voice and action. One stumble meant starting over. Any script revision meant re-recording the whole thing.
Then came audio mastering. High-quality mics picked up everything: garbage trucks, buses, distant sirens. He'd filter hours of audio to clean it up. He could only record at certain times of day when the neighborhood was quiet.
It was a lot of multitasking. You're reading a script, monitoring clicks, watching where you're going next, all at once. One mistake and you restart. One revision and you re-record.
Any feedback during review meant starting from scratch. Any clinical correction meant rebuilding. The iterative process was brutal, which meant stakeholders either waited weeks for content or Geremy spent nights at his desk.
4,000 Nurses & A Tight Training Deadline
In early April, LCMC's Director of Informatics requested training for a new clinical workflow. The scope: 4,000 nurses across the network. The timeline: urgent. The requirement: clinically accurate, picture-perfect content with no room for error.
Geremy knew what this meant in the old workflow. He'd create what he thought was final. She'd request clinical corrections he couldn't have anticipated. He'd rebuild. She'd ask for cuts. Rebuild. She'd request more clinical language. Rebuild. With a tight deadline, the old process would have been impossible.
From Rough Draft to Polished Video in Hours
Instead of perfecting a script upfront, Geremy recorded a rough video of the workflow directly in Jeeves. The platform immediately went to work: it split the recording into segments, used speech-to-text to generate a transcript, removed pauses and dead space, improved audio quality, identified key interactions, and auto-generated annotations.
Then he could do something he never could before: edit the segments and transcript directly within Jeeves. If a segment needed trimming, he edited it. If the AI-generated script needed clinical language adjustments, he made them. All within the platform. The video updated automatically.
She'd say, 'Can we cut this part?' I would move back to the AI editor step, update the transcript, export. Change. Next version. Export. Change. Next version.
Three different iterations happened in one day.
From 45 Minutes to Done: How One Hour Replaced Hours of Video Production
The Director of Informatics was so impressed, she asked Geremy to demo this capability to her entire informatics team. He showed up with an unsegmented video. Just a rough workflow video. In the meeting, he let the team request changes in real time.
- "Can we cut this slide?" Export, remove the slide, add a script to fill the gap, and layer callouts over the new footage. Updated version ready in minutes.
- "Can we smooth this transition?" Adjust. Next.
- "Can we make this shorter?" Trim. Next.
The team kept firing requests. Geremy kept exporting and delivering updates. No re-recording. No audio mastering. No waiting. The entire process, from raw footage to fully polished, annotated, production-ready video, happened in one hour.
That used to take me 45 minutes just on the markup stage alone. Now it's one hour for everything, including the feedback loop with stakeholders.
Not Just 50% Time Savings, But The Impact Beyond
Geremy was explicit about the math: AI-enhanced video creation cuts development time by at least 50%. That's not incremental. It means what used to take two hours now takes one. What used to require a full afternoon now takes a morning.
What used to take two hours now takes one. What used to require a full afternoon now takes a morning.
But the 50% isn't valuable because of speed alone. It's valuable because of what it unlocks.
What Changed
Before Jeeves, Geremy's team was constrained by production capacity. They could only create what fit into available hours. Every request meant choosing what not to do. They were reactive, not intentional.
Now with half the time required, the math flips. Geremy can create assets twice as fast, but he's not using that to pump out double the content. Instead, he's using it to get strategic.
For example, his team currently has seven different videos covering the same topic: reviewing and reconciling home medications. Seven separate assets created at different times by different people for slightly different contexts. All 7 are available in the same system for learners to review. They're all discoverable. Maybe that makes it hard for people to find the right one.
It's like they get lost in the sauce. We have so much content that people can't find what they need.
But here's what changes when you have production capacity to spare: you can finally audit what you've already made. You can consolidate. You can retire the redundant stuff. You can be intentional about strategy instead of just chasing demand.
Before, we were constrained by production capacity. We couldn't be intentional because we didn't have time. Now we can.
His directive to the team reflects this strategic shift: move from tip-sheet-centric training to microlearning-centric. Shorter. Sweeter. More digestible. More accessible.
Eight months ago, when Geremy asked the CMO what training could do to add real value to the organization, the answer was clear: short, sweet, digestible, and accessible. The 50% time savings made that vision actually possible.
This isn't about doing more work. It's about having the time to do better work.
The Multiplier Effect: Contributors Become Creators
A second-order effect is unfolding. Credential trainers who historically avoided video creation are now asking if they could contribute. Subject matter experts are asking: "Could I just record this and hand it to you?"
One of Geremy's best trainers, who knows Epic deeply but isn't a designer, came to him with a problem. "We don't have an asset for a specific speciality smart text. I have screenshots. Could you turn this into training?"
In the old workflow, Geremy would spend hours creating it. Now he says, "Record yourself doing it. I'll handle the rest."
She records rough footage directly in Jeeves on her laptop. Jeeves' AI automatically identifies key moments, generates segments, and transcribes. Geremy then reviews and refines it within Jeeves, adds callouts, and polishes. Done in a fraction of the time.
It's not about pushing work to them. It's about them being able to contribute faster. The informatics team is set up to do this now. They can record rough footage, I will review and refine it, and we will have polished assets without any bottleneck.
The Organizational Shift
The team is shifting from creator to publisher to architect. Subject matter experts can now record rough footage. Geremy reviews and refines it. No bottleneck. No waiting. Polished assets at scale.
Fitting Creation Into Real Life
Geremy is clear about something: He's a director. His job is strategy, hiring, team development, and stakeholder management.
The AI-enhanced video creation tool allows him to be a creator and use his past skills, without the massive time burden it used to require. He can still create polished training assets, just without the hours of setup, re-recording, and audio mastering.
I can create on the fly, around my normal workday. Between meetings and calls and rounds. I don't have to isolate for two hours anymore. That's the real win.
That distinction matters. A capability that requires restructuring your entire day isn't solving a problem; it's creating a different one.
No One's Looking Back
Geremy's instructional design consultant has worked with multiple training platforms over her career. Recently, he asked her for an honest assessment of Jeeves compared to alternatives.
"She said, 'I would never go back,'" Geremy recalls. "When we went to bid renewal, other platforms priced themselves out. It wasn't even close."
The shift is significant. Two years ago, people compared Jeeves to other tools in the same category. Today? There's no comparison happening. What Jeeves has become with AI-enhanced video creation is what organizations have been waiting for.
We've silenced the conversation. There's nothing to compare it to anymore.
What's Possible Now
Geremy's already thinking beyond the EMR. ServiceNow training. Workday transition materials. Any scenario requiring demonstration and quick iteration.
Jeeves is powerful for anything that requires modeling. Short, sweet, digestible, accessible. That's everything healthcare organizations struggle with.
His team knows it. His stakeholders know it. And with AI segmentation cutting creation time in half while enabling non-designers to contribute, there's now room to execute at scale across the entire organization.
The friction he'd accepted as normal for nearly two decades turned out to be optional. It just took the right tool to make that visible.