Their business teams relied heavily on centralized IT for application development, automation, and analytics. This dependency slowed responsiveness and made it harder for teams to improve processes on their own.
IT dependency and slow delivery:
Business requests were queued behind IT backlogs, leading to long development cycles and delayed process improvements.
Limited self-service capabilities:
Non-technical teams lacked the tools and skills to quickly build or adapt applications, restricting employee-led innovation.
Fragmented business workflows:
Processes were spread across CRM, HR, and inventory systems, creating disconnected workflows and manual handoffs.
Delayed visibility into data:
Inconsistent access to data and manual reporting cycles resulted in delayed insights for day-to-day decision-making.
High maintenance overhead:
Custom-built applications and automation scripts required ongoing IT support, increasing costs and operational complexity.
Post discussion, our Power Platform and AI teams introduced Microsoft Power Platform Copilot to help business users build, automate, and visualize processes with minimal coding.
AI-assisted app creation
Power Platform Copilot enabled business users to design apps and data models using natural language, reducing the need for great technical skills.
Workflow automation
Employees were able to automate everyday processes such as reporting, approvals, scheduling, and alerts, improving speed and efficiency.
Integrated analytics and visibility
Power BI Copilot provided real-time views of key KPIs, helping teams track performance and make informed decisions.
Governed cross-team collaboration
All apps and automations were developed within a centralized, IT-governed framework, ensuring security, consistency, and control across departments.
Scalable low-code foundation
Reusable templates and components were introduced to support rapid adoption and easy scaling across business units.
The deployment brought together Power Platform Copilot, Azure services, and Microsoft governance tools into a secure, AI-enabled automation framework designed for scale and control.
Platform configuration and security
Power Platform Copilot was configured with Azure Active Directory for identity and access management. Microsoft Purview was implemented to provide end-to-end governance, lineage, and compliance visibility.
AI enablement and automation
Power Apps and Power Automate enabled low-code app and workflow orchestration. Azure OpenAI Service powered natural language interactions, while Copilot Studio supported custom prompts and reusable templates.
Data integration and analytics
Azure Data Factory and Synapse Analytics handled data ingestion and transformation. Azure Data Lake and Dataverse provided unified data storage, with Power BI Copilot delivering real-time dashboards and insights.
User enablement and adoption
Targeted training sessions helped operations and customer service teams adopt Copilot confidently. Citizen Developer communities encouraged peer learning and shared innovation.
Governance, monitoring, and quality
Role-based access controls and Azure Policy ensured secure lifecycle management. Power BI and Azure Monitor tracked productivity, AI effectiveness, and business impact.
Faster app development
AI-assisted workflows helped teams build and deploy applications about 40% faster, reducing dependency on IT and accelerating time to value.
Higher productivity
Automating routine processes and tasks increased overall team productivity by roughly 35%, freeing employees to focus on higher-value work.
Reduced IT backlogs
Self-service capabilities cut IT backlog by 25%, allowing IT resources to focus on strategic initiatives and innovation.
Improved workflow efficiency
Cross-department workflows became smoother and more streamlined, with efficiency gains of around 30%, reducing delays and manual handoffs.
Enhanced employee experience
Empowered with low-code tools and AI guidance, employees reported about 20% higher satisfaction, fostering creativity and innovation across the organization.
Together, these outcomes demonstrated the power of combining Power Platform Copilot, Azure services, and governed AI to drive faster delivery, greater efficiency, and a more empowered workforce, creating a strong foundation for continued digital transformation.
Manufacturing & Industrial Engineering
Australia
End to End Project Lifecycle Management
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