Organisations continue to invest in digital content — videos, documentation, FAQs, and training materials. However, engagement with these formats remains limited. Linear video completion rates typically range between 20–30%, while written materials are often skipped altogether.
At the same time, expectations have shifted. Users increasingly look for guided, interactive, and personalised experiences that help them reach answers quickly, without navigating complex structures. This shift is driving a new category of solutions — one that combines structured content, interactivity, and measurable engagement.
MakoLab has partnered with NovumSpark to introduce AvatarSpark — a platform designed to transform static content into interactive, conversation-driven experiences. Instead of presenting information in a fixed sequence, AvatarSpark enables organisations to guide users through structured interactions, adapting content dynamically based on their choices.
The AvatarSpark experience is embedded directly into the website, becoming part of the digital journey rather than a separate tool.
As shown above, the avatar appears as a lightweight, non-intrusive widget, allowing users to engage when relevant.
Instead of searching through pages, users can start a guided interaction immediately.
One of the practical advantages of AvatarSpark is the speed at which content can be deployed and made accessible.
By leveraging the AI Creator, organisations can transform:
into structured, interactive experiences within minutes.
This enables access to information that is often:
As a result, AvatarSpark acts not only as a communication layer, but also as a structured interface to organisational knowledge, accelerating access to relevant information for both customers and employees.
Once activated, the interaction becomes structured and decision-based.
Users are presented with clear options — for example:
This approach replaces:
with guided journeys tailored to user intent.
1. Structured interaction model
At the core of AvatarSpark is a conversation tree, where each step represents a logical part of the interaction.
Users move through this structure by selecting options, ensuring that:
2. AI-supported content generation
At the core of AvatarSpark is a combination of AI components, including large language models (LLMs), which support both content generation and optimisation.
These capabilities enable the platform to:
Rather than replacing human input, this layer augments it — enabling faster content creation while maintaining control over structure and messaging.
3. Multilingual communication at scale
AvatarSpark supports the creation of multiple language variants within the same interaction framework.
This allows organisations to:
Combined with automated video generation and voice synthesis, this significantly reduces:
For organisations operating across markets, this enables a scalable and efficient approach to multilingual communication.
4. Measurable engagement
Unlike traditional formats, AvatarSpark provides full visibility into how users interact with content.
Organisations can track:
This enables a shift from assumption-based optimisation to data-driven decision-making.
5. Continuous improvement
AvatarSpark includes an Intelligent Optimiser that analyses user behaviour and identifies areas for improvement.
Based on real interaction data, it suggests:
This creates a continuous improvement loop, where content evolves over time without requiring full redesigns.
AvatarSpark can be applied across multiple areas:
Marketing and Sales
Customer Service
HR and Training
These use cases demonstrate measurable improvements in efficiency and effectiveness.
AvatarSpark is designed as a web-native, modular solution, allowing it to integrate seamlessly into existing digital environments. From a technical perspective, the platform consists of:
This architecture enables:
It also ensures that content creation, delivery, and optimisation remain decoupled yet connected, allowing organisations to iterate quickly while maintaining control.
Introducing interactive technologies often raises questions around data usage and compliance. AvatarSpark has been designed with these considerations in mind.
Technical data such as IP (in shortened form), device information, and event logs are processed strictly for security, integrity, and service performance purposes, based on legitimate interest.
Importantly:
Additionally, AvatarSpark is designed with a clear separation between content delivery and data processing responsibilities. The platform operates within a defined controller–processor model, ensuring that organisations retain control over user interaction data within their own environments. Technical mechanisms such as anonymised session identifiers, limited data retention, and strictly functional storage technologies (e.g. cookies used only for operational purposes) further support compliance with privacy regulations while maintaining service performance.
The collaboration between MakoLab and NovumSpark combines complementary capabilities.
NovumSpark provides:
MakoLab provides:
This ensures that AvatarSpark is not only implemented technically, but also aligned with measurable business outcomes.
The shift from static content to interactive experiences is becoming increasingly relevant across industries.
AvatarSpark reflects a broader transition:
For organisations aiming to improve digital engagement while maintaining control, scalability, and compliance, this represents a practical and scalable approach.
