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Histoire de transformation

Advancing AI Strategy Into Scalable Execution

A manufacturing organization had already experienced the value of data and machine learning and was ready to take its AI strategy further. Through Quadbridge’s AI at Scale framework, our experts helped validate its strategy, strengthen its technical foundation and begin bringing real-world AI use cases to life.

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LE CLIENT

SECTEUR

Fabrication

EMPLOYÉS

500 à 1 000 employés

LE RÉCIT

Ready to move beyond AI strategy

LE POINT DE DÉPART

The organization entered its AI journey with a strong foundation, having already used data and machine learning to uncover operational inefficiencies, reduce costs and identify new revenue opportunities. Leadership had also established elements of its AI strategy, governance and steering structure.

Engagement with Quadbridge grew through QBITS AI sessions and an AI adoption webinar, opening a broader conversation around how to scale AI successfully. From there, the organization engaged our experts to advance through Quadbridge’s AI at Scale framework, validating its direction, strengthening the technical foundation and bringing priority use cases to life.

LE DÉFI

  • Specialized Expertise
    The organization needed additional architecture, engineering and development expertise to move its AI strategy into execution.
  • Fragmented Data
    Data remained distributed across multiple systems, limiting the ability to support more advanced, cross-functional AI use cases.
  • Infrastructure Gaps
    With no existing Microsoft Azure footprint, the organization needed the right cloud foundation to support its initial use cases and long-term AI strategy.
  • Complex Use Cases
    Some AI opportunities required multiple data sources and greater technical maturity, making it critical to prioritize the right use cases first.

LA SOLUTION

  • Strategy & Readiness Validation
    We reviewed the organization’s AI strategy, Centre of Excellence, governance framework and use cases to validate its direction, identify gaps and refine the path forward.
  • Azure Foundation
    Our experts designed an Microsoft Azure landing zone and supporting services to enable the initial AI use cases while laying the groundwork for a future enterprise-scale data platform.
  • Priorisation des cas d'usage
    We assessed complex, cross-functional AI opportunities against data readiness and technical maturity, helping the organization prioritize achievable use cases before expanding into more advanced capabilities.
  • Agent Activation
    Our experts began developing two proof-of-value agents, including a Customer 360 agent that connects CRM and Microsoft 365 data to give sales teams a more complete view of customer activity, interactions and account history.

L'IMPACT

AI Strategy in motion

The organization continues scaling its AI capabilities to drive long-term business value.

STRATEGY

VALIDATED

A clearer roadmap connects the organization’s existing AI strategy with the capabilities needed to execute at scale.

AZURE

ENABLED

A scalable Microsoft Azure foundation supports initial AI use cases while preparing for broader data and AI capabilities.

AGENTS

ACTIVATED

Two proof-of-value agents are moving priority use cases from strategy toward tangible business value.

EXPERTISE

EXTENDED

Specialized architecture, engineering and AI expertise can be accessed without building every capability internally.

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