Scalable Managed IT Support for GenAI Applications

Client Need: A leading life sciences company sought support for their Generative AI (GenAI) applications. Starting with a single application, the client had ambitious plans to scale their GenAI initiatives, with five additional applications anticipated in the next few quarters. The client required a cost-effective, scalable support model that could meet their immediate needs without overpaying for unused capacity during the initial phases.

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TrieDatum’s Solution: TrieDatum designed and delivered a tailored support model that aligned perfectly with the client’s requirements and growth trajectory. Key components of the solution included:

1. Access to GenAI Expertise:

  • The client gained access to TrieDatum’s GenAI Center of Excellence, which provided a pool of skilled professionals, including implementation experts, architects, and engineers.
  • This ensured reliable and scalable support for their existing GenAI application and a strong foundation for future expansions.

2. Innovative Support Model:

  • TrieDatum developed a flexible support model that started with a minimal team to manage the initial application effectively.
  • The model was designed to scale seamlessly as additional applications were introduced, ensuring that support capacity matched the client’s operational needs.
  • By avoiding the need for a large, idle support team during the early phase, TrieDatum ensured cost efficiency without compromising on service quality.

3. Tailored Pricing Structure:

  • TrieDatum implemented a pricing structure aligned with the client’s growth trajectory. Initial payments were kept small, reflecting the limited scope of the early phase.
  • As the client added more applications, the pricing scaled in proportion to the additional support requirements, ensuring value for money at every stage.
  • Long-term pricing stability was a key feature, with rates locked for two years and a built-in review option to maintain transparency and predictability as the client’s needs evolved.

Outcome: TrieDatum’s innovative approach delivered substantial benefits to the client:

  • Cost Efficiency: The flexible support model minimized costs during the early phase, allowing the client to allocate resources efficiently while scaling up their GenAI initiatives.
  • Seamless Scalability: The support team expanded in alignment with the client’s growth, ensuring that each new application was integrated and supported without delays.
  • Reliable Expertise: Access to TrieDatum’s GenAI Center of Excellence ensured the client had the technical knowledge and resources needed to optimize their applications and achieve their strategic objectives.
  • Predictable Costs: The tailored pricing structure provided financial stability and transparency, enabling the client to plan their budgets confidently over the long term.

Conclusion: By delivering a scalable and cost-effective support model, TrieDatum enabled the life sciences company to accelerate their GenAI adoption while maintaining financial prudence. This case underscores TrieDatum’s ability to craft innovative solutions that meet dynamic client needs, driving value and growth in emerging technology domains.