AI Consulting

1. Leadership – Office of Automation & AI

• Establish and lead the Office of Automation & AI
  , driving vision, governance, and execution.
• Define strategic priorities for AI, automation, and agentic transformation across IT operations and delivery.
• Act as the single point of accountability for AI initiatives across IT Operations and SDLC

• Serve as the central point of contact for all AI-driven transformation initiatives across:
• IT Service Management (ITSM)
• Software Development Lifecycle (SDLC)
• Infrastructure and Application Support
• Drive adoption of agentic AI solutions to enhance efficiency, reliability, and scalability of IT services.
• Champion a culture of innovation and continuous improvement using AI-led interventions.
• Act as the Lead Solution Architect for AI and automation initiatives.
• Collaborate with:
• Central AI Engineering teams
• IT Service Delivery leaders
• Tech Stack owners – Azure AI, AWS, Nvidia, Anthropic & SaaS providers such as Sales Force, SAP,
• Identify, define, and prioritize high-value use cases across ITSM and SDLC.
• Evaluate and leverage:
• Third-party AI/automation solutions
• Guide solution design ensuring alignment to business outcomes and technical feasibility.

• Partner with central AI engineering teams to:
• Align on reusable AI capabilities and platforms
• Prioritize initiatives based on business impact and ROI
• Work closely with client stakeholders to tailor solutions for their environments.
• Ensure seamless integration of AI solutions into existing IT systems and processes.

• Define and deliver the Agentic Technology Roadmap across ITSM and SDLC.
• Present roadmap to executive stakeholders and secure technical and business approvals
  .
• Establish governance frameworks to ensure:
• Risk mitigation and compliance
• Performance tracking and value realization
• Drive implementation, adoption, and scaling of AI solutions across client environment.