Learning and development (L&D) teams are facing pressure to create more content in less time and with smaller budgets, all while driving engagement and retention. In the past, L&D teams often used traditional outsourcing to help manage these demands. Now, advances in technology are changing how this work gets done.

Today, artificial intelligence (AI)-powered tools like realistic avatar platforms and advanced explainer video generators are becoming more than simply tools for getting tasks done. They are now strategic partners, working with L&D teams to create engaging, scalable and personalized learning experiences.

The Evolution of Outsourced Learning Design

The traditional outsourcing model:

Previously, outsourcing learning design was a highly transactional process. An L&D team would identify a training need, draft a storyboard and hand it off to an external agency. Weeks or months later, the agency would return with a polished Sharable Content Object Reference Model (SCORM) package or a video. If changes were needed, it meant additional costs and extended timelines. The agency acted as an implementer of the L&D team’s vision, with limited strategic input during the actual creation phase.

The new AI-driven paradigm:

Generative AI has changed the way video and content are produced. Now, AI platforms can create learning content using different cues like text prompts and existing learning materials. This means vendors can become more interactive partners.

Now, instructional designers can create prototypes with AI-powered partners in minutes. This makes it easy to test and improve ideas right away. AI can handle animation, voiceover timing and visuals, so designers can focus on strategy, managing information and storytelling.

AI Avatars and Explainer Video Platforms

To understand how AI partners are reshaping L&D, let’s consider the technology driving providers of AI avatars and AI-driven explainer videos.

1. AI avatars and interactive visual agents

Knowing when to use a human-like presence is a crucial part of strategic learning design. AI avatars should be deployed thoughtfully to enhance connection, rather than just for the sake of novelty.

• AI Avatar Videos (One-Way Communication): Leverage these platforms when a “human” delivery adds genuine value and emotional weight. They are highly effective for executive welcome messages, navigating sensitive compliance topics, coaching introductions or maintaining a consistent, localized presenter across multiple global regions. Cocreation tip: Never simply copy-paste a document into the generator. Collaborate with the AI to refine the script so it is specifically optimized for natural, conversational speech.
• Interactive Avatar Agents (Two-Way Practice): Move to interactive agents when learners require dynamic conversation, role-play or real-time support. These are game changers for manager upskilling, sales enablement, onboarding Q&As and policy guidance. To ensure accuracy, the AI agent must be assigned a strictly defined job role and be grounded in a highly controlled knowledge base.

A strong AI partner helps L&D teams pick the right format for each learning goal, ensuring you use the simplest option that works. If an explainer video does the job, there’s no need to create something more complex. But if your team needs to practice tough workplace conversations, a basic video won’t be enough.

2. Explainer video platforms

When learners need to understand complex information quickly, explainer video platforms can be valuable tools. They work well for giving high-level overviews, guiding people through processes step by step or making technical topics easier to grasp and remember.

• Ideal Use Cases: Employee onboarding, product feature updates, shifting internal processes, policy introductions and customer education.
• The Cocreation Advantage: Modern AI explainer platforms have evolved far beyond basic animation software to become intelligent synthesis engines. You can feed them a dense compliance manual or a lengthy whitepaper and the AI will automatically extract the key takeaways, generating a coherent script and a corresponding storyboard in minutes.

This level of automation allows instructional designers to step back from tedious, manual editing and focus on refining the learning strategy and core message.

From Execution to Strategic Cocreation

The most successful L&D teams are the ones that recognize AI platforms not as replacements for human creativity, but as collaborative partners. Here is how the dynamic is evolving from pure execution to strategic cocreation:

1. Ideation and storyboarding

Instead of bringing a completed storyboard to an agency, you can now input raw learning objectives into the AI platform. The AI proposes multiple narrative angles, visual metaphors and instructional strategies. Instructional designers can then evaluate these options, applying empathy and contextual understanding to select the most effective approach.

2. Rapid prototyping and feedback

In traditional outsourcing, pilot testing a module was costly. With AI partners, you can generate a “minimum viable training” module in hours. You can send this prototype to subject matter experts (SMEs) or a focus group of learners, gather feedback and instantly adjust the script or the avatar’s tone within the platform.

3. Hyper-personalization at scale

One of the biggest benefits of using AI for cocreation is how easily it can scale. Before, making a custom training video for the sales team in Germany and a different one for the engineering team in Japan was extremely difficult. Now, with AI, you can keep the samge basic training design and quickly change the avatar, language, cultural details and industry examples with just a few clicks.

A Comparison of Approaches

Best Practices for Designing Engaging Experiences With AI Partners

If your L&D team is ready to embrace AI-driven providers as strategic cocreators, you need a framework for collaboration. Relying blindly on an AI’s output will lead to generic, soulless content. The magic happens when human pedagogical expertise guides the machine’s processing power.

Here are the actionable steps to ensure a successful partnership when cocreating with visual and explainer AI platforms:

• Start by focusing on the human element and your main goal. Before you create anything, think about what your learners need both mentally and emotionally. Do they need a realistic digital instructor to help them through a sensitive leadership topic, or do they need a complex idea explained in simple, visual terms? Choose based on empathy. Use a lifelike presenter to build a personal connection and pick an animated explainer for clear explanations of complex ideas.
• Clear context and boundaries are essential. When using explainer platforms, be specific about the tone you want. Instead of just asking for a cybersecurity video, ask the platform to turn an IT policy into a light, easy-to-understand story. For interactive avatar agents, make sure they only use information from approved company PDFs or FAQs. Set clear rules, like asking the agent to act as an empathetic manager, use only the pricing guide and route custom questions to a human.
• Design for modularity. AI makes it easy to create content, so you might want to build large courses, but it’s better to make small, focused learning modules. Create short, 2-3-minute explainers or quick updates led by a presenter. If a local policy changes, it’s much easier to update a short video or a presenter’s script in one language than to redo a long, traditional course.
• Keep a human in the loop for quality assurance. Always have a real person review AI-generated content before adding it to your learning management system (LMS). When creating animated explainers, check that the visual metaphors chosen by AI are accurate, fit your culture and follow your brand guidelines. For digital presenters, make sure the synthesized voice sounds natural, pronounces industry acronyms correctly and uses facial expressions that suit the topic. SMEs should be the final reviewers to ensure quality.

The AI-Driven Future of Outsourced Learning Design

The days of simply handing off a storyboard to an outsourcing agency and hoping for good results are ending. AI-powered partners are changing outsourced learning design by making high-end video production and character animation more accessible. When L&D teams shift from executing tasks to working together strategically, they can create learning experiences that are engaging, visually impressive and easily scalable.

The future of learning design will favor those who use new technologies to combine the speed and scale of machines with human skills like empathy, strategy and connection.