How does agentic learning work within your blended learning approach?

Our blended learning is enhanced by a selection of AI agents that make the experience bespoke to each individual — adapting to their pace, needs, and requirements as they progress. But it's still fundamentally blended learning. That means videos, avatars, modules, and structured content all working together. The agents don't replace the format — they make it smarter and more personal.

What are AI avatars and how are they used in blended learning?

AI avatars are interactive characters that learners engage with directly — having conversations, responding to scenarios, and practising skills in a realistic but consequence-free environment. They can be scripted for consistent scenario delivery (useful for compliance and procedural training) or built as generative characters capable of open-ended dialogue (useful for communication skills, leadership development, and customer-facing role practice). Avatar interactions are tracked and feed into the analytics layer alongside all other learning activity.

Can we bring in our existing e-learning content?

Yes. We ingest SCORM and xAPI-compatible content and index it through the platform alongside any new content built by our team or your internal developers. Existing content libraries, video assets, and third-party courses can all be incorporated, tagged, and surfaced through the agentic recommendation engine without requiring re-authoring.

How do we keep content current without a large L&D team?

The AI Knowledge Platform monitors content freshness automatically, flagging outdated material before it becomes a compliance or accuracy risk. The agentic layer also tracks which content is being accessed, completed, and skipped — giving your L&D team clear data on what is working and what needs updating, so maintenance effort is directed where it actually matters.

Task management

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Workflow

Blended Learning

Structured Learning Programmes That Adapt to Every Individual.

Structured programmes combining e-learning, video, live instructor-led sessions via Adobe Connect, AI avatars, and agentic AI pathways that respond to each learner in real time.

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The Challenge

The Hidden Cost of One-Size-Fits-All Enterprise Learning

Most enterprise learning programmes are designed for the average learner and delivered to everyone the same way. Static curricula cannot respond to individual performance gaps, cannot adapt to operational change, and cannot identify who needs what until a manager notices a problem or a compliance audit surfaces a gap. The result is significant spend on learning that reaches the right people at the wrong time — or the wrong people altogether.

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Blended Learning

Blended Learning That Adapts to Every Learner

FabricAcademy's Blended Learning capability combines structured programme design with agentic AI pathway management and AI avatar interaction — delivering the consistency of a well-designed curriculum with the personalisation of a system that monitors every learner's performance and adapts what they see next in real time.
Learners can practise conversations, procedures, and decision-making with AI avatars before applying those skills in the real world. Content from your existing library is ingested and incorporated alongside new material, with SCORM and xAPI compatibility preserving existing investment.

Adaptive learning pathways —

AI continuously monitors learner performance and adjusts content in real time so each individual receives the training they need, when they need it.

Safe, realistic skill practice

AI avatars allow learners to rehearse conversations, procedures, and decision-making before applying those skills in real-world scenarios.

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KEY FEATURES

Core Capabilities of Blended Learning

Adaptive AI Learning Pathways

Agentic AI pathway management responding to individual performance signals

AI Avatar Skills Practice

AI avatars for conversational practice, scenario roleplay, and procedural training

Dynamic Avatar Conversations

Scripted and generative avatar interactions — from fixed scenarios to open-ended dialogue

Standards-Based Content Integration

SCORM and xAPI-compatible content ingestion — existing library preserved and extended

Role-Based Learning Recommendations

Role-based content recommendations from the AI Knowledge Platform

Structured Blended Learning Design

Structured programme design combining e-learning, video, avatar practice, and live session elements

Automated Content Gap Detection

Automatic content gap detection and freshness monitoring

Mobile-First Learning Delivery

Mobile-optimised delivery for field and frontline workers

WHAT MAKES IT AGENTIC

Performance-Driven Learning Pathways

An agentic pathway manager analyses an individual's real-time performance signals — assessment scores, content interaction patterns, knowledge queries, coaching feedback, avatar scenario outcomes — and takes action: adjusting the sequence of the learning programme, surfacing specific content, or escalating a capability gap to an administrator. It does not suggest. It acts. This is meaningfully different from a recommendation engine that shows people content similar to what others have found useful.

CONTENT CURRENCY

AI-Driven Content Lifecycle Management

The AI Knowledge Platform monitors content freshness automatically, flagging outdated material before it becomes a compliance or accuracy risk. Usage data identifies what is being accessed, completed, and skipped — giving your L&D team clear direction on where maintenance effort is needed, rather than requiring a full content audit.

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AI AVATARS

Practice Without Consequences

AI avatars bring a dimension to blended learning that e-learning and video cannot deliver: the ability to practise. Whether rehearsing a difficult customer conversation, walking through a compliance procedure, or navigating a high-stakes operational decision, learners interact with realistic AI characters in a safe environment before they face those situations for real. Avatars can be scripted for consistent scenario delivery or configured as generative characters capable of open-ended dialogue — adapting their responses to what the learner says, just as a real person would.

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