Toptal helps a global retail enterprise operationalize AI to accelerate delivery and scale innovation.
A leading apparel company partnered with Toptal to transform fragmented workflows into an AI-powered execution system that teams can operate and scale independently.
Client
A US-based global apparel and retail enterprise with $9.6B in revenue and 25,000+ employees worldwide.
Employees
Revenue
Industry
Retail TradeDelivered Services
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The company’s engineering workflows were fragmented across tools like Jira and Confluence, requiring heavy manual coordination and slowing delivery. AI usage was inconsistent and limited to isolated prompts, making it difficult to scale and standardize outputs.
Solution
A structured AI orchestration platform
Toptal embedded AI directly into the company’s existing systems, designing a multi-agent orchestration layer that plans, executes, and validates work across tools. This shifted AI from ad hoc usage to a governed, workflow-based system.
Integrated, enterprise-ready execution
By combining AI architecture, system integration, and automation expertise, Toptal created a standardized operating layer that connects engineering, QA, analytics, and operations, enabling consistent, scalable AI adoption across teams.
Outcome
A scalable AI-powered execution engine
The company now operates with a unified AI-powered execution framework that reduces manual overhead, standardizes processes, and embeds intelligence across systems. This foundation enables teams to scale AI usage without introducing operational complexity.
Faster delivery and stronger decision-making
Workflows that previously took hours are now completed in minutes, with improved visibility and access to real-time data. With faster execution and standardized processes, the organization is positioned to scale innovation across teams and brands.
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