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Real outcomes other companies already got — what was delivered, who it was for, and which solution did it.

Companies who did this already

The customer each case was delivered for. Pick one to see their outcomes.

Showing outcomes forZoetisShow all companies again

3 business cases for Zoetis

  • ZoetisZoetisThe customer this was delivered for.
    Identified Four High-Value AI Opportunities and Two Foundational Initiatives

    Key results

    • 4 high-value AI opportunities identified
    • 2 foundational non-AI initiatives outlined

    As a global leader in animal health, Zoetis aggressively pursued AI to drive operational efficiency. However, competing organizational priorities made it challenging to identify high-impact opportunities. The company struggled to establish a robust, cohesive AI roadmap across its operations. An AI Product Consultant was embedded to lead structured discovery workshops across business, data, and IT teams. Using service design and AI framing methods, the team identified where AI and automation could deliver the greatest impact, along with the necessary data and process foundations. This translated business challenges into a prioritized roadmap of AI and non-AI initiatives, aligning stakeholders around feasible, high-value opportunities. Zoetis gained a structured roadmap outlining four high-value AI opportunities and two foundational non-AI initiatives, complete with dependencies, feasibility assessments, and expected benefits. Several use cases were identified as ready for immediate prototyping. The engagement created a shared language across business, data, and technology teams, shifting Zoetis from experimentation to outcome-driven execution.

    Delivered by
    Toptal
  • ZoetisZoetisThe customer this was delivered for.
    Filled 30+ Roles Across 5 Departments, Securing Talent in 48 Hours

    Key results

    • 30+ roles filled across 5 departments
    • Talent secured in as little as 48 hours
    • 2+ years of continuous partnership

    Zoetis, a leading global animal health company, encountered significant competition from Big Tech for in-demand technical talent. This talent war made it challenging to fill critical digital, strategy, and analytics roles internally. The company needed a rapid, on-demand solution to avoid costly project delays caused by these talent shortages. The company partnered with Toptal, which offered white-glove support and rapid talent access. A dedicated client partner, possessing industry- and role-specific experience, expertly matched vetted talent to Zoetis' evolving business demands. This allowed Zoetis to access on-demand talent in as little as 48 hours, significantly faster than traditional hiring processes. Toptal experts integrated seamlessly, contributing value from day one. Zoetis successfully expanded its partnership, growing from two Toptal developers to filling over 30 roles across five departments. This expansion included data scientists, developers, designers, and analysts, ensuring skill and culture matches. For two years, Zoetis confidently initiated complex projects, knowing that talent gaps would not impact timelines. The company continued to secure vetted experts within 48 hours to maintain project momentum.

    Delivered by
    Toptal
  • ZoetisZoetisThe customer this was delivered for.
    Diagnostic Data Processing Time Cut by 93% and Costs Reduced by 67%

    Key results

    • 93% reduction in diagnostic data processing time
    • 67% reduction in costs
    • Diagnostic results delivered in under 60 seconds, down from 15 minutes

    Zoetis, the world’s largest animal health company, faced challenges with its diagnostics data ecosystem. The existing system, built on aging technology, caused significant latency, taking up to 15 minutes for diagnostic results to process. This fragmentation also led to higher operational costs and limited scalability, hindering the company's ability to handle increasing data volumes effectively. Toptal assembled a specialized team with deep expertise in Databricks, Azure, Python, and SQL to redesign Zoetis’s diagnostic data ecosystem. The team built a unified, near real-time platform that streamlined ingestion, transformation, and delivery, reducing latency from 15 minutes to under one minute. In addition, reusable testing tools and rigorous validation frameworks were introduced using Databricks notebooks, SQL, and Python. These improvements enhanced data trust, reduced bugs, and ensured smooth adoption across development phases. With the new platform, diagnostic results flowed from analyzers to Zoetis systems in under 60 seconds, down from an average of 15 minutes. This provided customers with near real-time visibility into transactions, significantly improving their experience and operational efficiency. By simplifying the architecture and optimizing cloud storage and infrastructure, Zoetis cut platform operating costs by approximately two-thirds, including an estimated $325,000 in annual cloud hosting savings. The scalable, reliable system positioned the company to handle growing data demands and future innovation initiatives.

    Delivered by
    Toptal

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