Toptal centralizes and accelerates generative AI adoption across global media company.
An e-learning solutions provider faced significant delays and project setbacks, turning to Toptal for user management expertise and robust data protection.
Client
A US-based global media and information services company operating across news, magazines, and TV.
Employees
Revenue
Industry
Communication, Media and EntertainmentDelivered Services
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Schedule a CallChallenge
Rapid interest in generative AI had led business units to experiment independently without shared standards, scalable architectures, or clear governance. This fragmented approach duplicated effort, slowed delivery, and increased security and compliance risks.
Solution
Centralized AI Enablement
Toptal identified high-value use cases across business units and developed reusable, enterprise-grade AI components, replacing fragmented experimentation with a centralized, service-oriented approach.
Agentic AI Architecture
Toptal designed, built, and deployed LLM-based agentic systems using Python, cloud AI services, and MLOps best practices while aligning development with enterprise IT, security, and governance requirements.
Outcome
Faster, Higher-quality Outputs
Automating and streamlining manual workflows with agentic AI delivered substantial time savings, faster turnaround times, and higher-quality outputs across participating teams.
Accelerated AI Adoption
Reusable AI components enabled multiple business units to deploy new solutions faster, reducing duplicated effort, improving consistency and accelerating innovation.
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