Client
A global enterprise technology company specializing in data, analytics, and artificial intelligence (AI) platforms, serving organizations across industries.
Requirement
Different learning functions require different expertise. The client needed access to specialized learning professionals who could work directly with individual teams, understand their ways of working, and contribute to their specific requirements.
Rather than establish a single centralized team, the client needed a flexible resource model that placed the right capabilities within the relevant teams, while keeping resource coordination and management streamlined.
Mediant Labs Approach
Mediant Labs provisioned experienced professionals across multiple learning functions, including Instructional Designers, an Instructional Architect, LMS Administrators, and a multilingual Training Coordinator.
Each resource works directly with the relevant client team and stakeholders, becoming familiar with their requirements, processes, and ways of working. This enables teams to access specialized expertise within their existing workflows, without the client having to coordinate multiple external vendors.
Mediant Labs complements this embedded model with a dedicated Relationship Manager who serves as the central point of contact across the engagement. The Relationship Manager gathers stakeholder feedback, monitors resource performance, coordinates requirements, and addresses issues or support needs.
The result is a flexible augmentation model that combines direct access to specialized talent with centralized relationship management and oversight from Mediant Labs.
Capabilities Delivered
- Instructional Design: Dedicated practitioners supporting individual client teams.
- Instructional Architecture: Strategic direction and rules of engagement for learning initiatives.
- Learning Technology: LMS Administrators supporting learning platform operations.
- Regional Training Support: A multilingual Training Coordinator supporting regional requirements.
- Embedded Collaboration: Direct engagement between resources and client stakeholders.
- Resource Management: Centralized coordination, stakeholder feedback, and performance monitoring through a dedicated Relationship Manager.
- Flexible Resourcing: Access to specialized capabilities aligned with different teams and functional requirements.
Outcomes
The engagement gives the client access to specialized learning expertise across multiple functions without requiring a single centralized team structure.
By aligning resources to individual teams and stakeholder needs, the model supports closer collaboration and access to relevant expertise within existing workflows. Mediant Labs’ dedicated Relationship Manager provides a consistent point of contact for coordination, feedback, and resource oversight across the engagement.
For the client, this means:
- Expert learning capabilities aligned to individual team requirements.
- Resources who work directly with stakeholders and become familiar with their processes.
- One central point of contact for resource coordination and performance management.
- Flexibility to access different capabilities without managing multiple external vendors.