AI & Data

Define IT governance and enterprise-wide technology standards.

Develop an agile, cloud-ready architecture roadmap.

Optimize existing systems for performance, security, and scalability.

Build secure, scalable, and reusable API and microservices-based architectures.

Develop API gateways and management frameworks.

Enable real-time data exchange with RESTful APIs.

Design microservices-driven applications for scalability and modularity.

Assess digital maturity and identify transformation opportunities.

Leverage cloud, AI, and automation for business innovation.

Drive adoption with change management and training.

Ensure smooth data and process integration across multiple environments, including cloud, hybrid, and on-premises systems.

Migrate and integrate legacy applications with cloud-native solutions.

Implement Azure Integration Services (Logic Apps, Event Grid, Service Bus).

Optimize performance and security across distributed environments.

Empower business users and IT teams to quickly build and automate workflows without deep coding expertise.

Implement Microsoft Power Automate for process automation.

Connect third-party applications using low-code tools.

Enable AI-driven workflow automation with Power Platform & RPA.

Enable end-to-end business process automation by integrating key enterprise systems like Dynamics 365, SAP, Salesforce, and other SaaS applications.

Ensure real-time data synchronization between core business applications.

Automate data flow between CRM, ERP, and analytics platforms.

Optimize supply chain, customer service, and financial systems.