Roster - Internal AI Strategy, Automation and Agentic AI Enablement Consultant, Sec. SG, Dept. ISD

BACKGROUND INFORMATION

The ITU is accelerating its institutional digital transformation agenda to strengthen operational excellence, modernize workflows, improve productivity, and establish stronger enterprise AI readiness across the organization. As part of this effort, ITU is launching a focused initiative on Internal AI Strategy, Automation, and Agentic AI Enablement to accelerate practical AI adoption and operational transformation across internal business functions and institutional workflows. The initiative aims to:

To accelerate delivery, ITU seeks highly experienced senior consultants with strong hands-on expertise in enterprise AI implementation, workflow automation, agentic AI solutions, and rapid delivery of operational AI capabilities in complex organizations.

• Accelerate process automation and workflow modernization.
• Develop and deploy internal AI agents and copilots supporting knowledge work and operational efficiency.
• Establish foundational “Ask ITU AI” capabilities.
• Support AI-enabled study group, reporting, and knowledge workflows.
• Build institutional AI readiness and staff capabilities through targeted enablement and upskilling.
• Establish scalable governance, implementation patterns, and foundations for enterprise AI adoption across ITU.

TERMS OF REFERENCE

Under the direction of the Chief Information Officer (CIO), the consultant will work in close collaboration with the Information Services Department (ISD), the Transformation and Digital Innovation Accelerator team, Sectors, and business divisions across ITU and will support the following activities:

• Internal AI Strategy and Implementation: Support operationalization of ITU’s internal AI strategy and implementation roadmap. Identify and prioritize high-impact AI and automation opportunities across ITU. Translate business needs into implementable AI and automation solutions. Develop practical implementation approaches, reusable patterns, and deployment models. Support alignment between AI initiatives, digital transformation priorities, enterprise architecture, and governance efforts.
• Support operationalization of ITU’s internal AI strategy and implementation roadmap.
• Identify and prioritize high-impact AI and automation opportunities across ITU.
• Translate business needs into implementable AI and automation solutions.
• Develop practical implementation approaches, reusable patterns, and deployment models.
• Support alignment between AI initiatives, digital transformation priorities, enterprise architecture, and governance efforts.
• Hands-On Agentic AI Development and Deployment: Design, prototype, configure, test, and deploy internal AI agents and copilots. Implement AI-enabled assistants supporting: Study group support. Report drafting and summarization. Knowledge retrieval and enterprise search. Meeting and conference support. Workflow acceleration and productivity enhancement. “Ask ITU AI” capabilities. Configure prompts, workflows, orchestration logic, integrations, and automation pipelines. Work directly with enterprise AI platforms, copilots, low-code/no-code tools, APIs, and workflow orchestration technologies. Support integration of AI solutions into operational workflows and business processes.
• Design, prototype, configure, test, and deploy internal AI agents and copilots.
• Implement AI-enabled assistants supporting: Study group support. Report drafting and summarization. Knowledge retrieval and enterprise search. Meeting and conference support. Workflow acceleration and productivity enhancement. “Ask ITU AI” capabilities.
• Study group support.
• Report drafting and summarization.
• Knowledge retrieval and enterprise search.
• Meeting and conference support.
• Workflow acceleration and productivity enhancement.
• “Ask ITU AI” capabilities.
• Configure prompts, workflows, orchestration logic, integrations, and automation pipelines.
• Work directly with enterprise AI platforms, copilots, low-code/no-code tools, APIs, and workflow orchestration technologies.
• Support integration of AI solutions into operational workflows and business processes.
• Workflow Automation and Process Modernization: Identify and redesign manual workflows for automation readiness. Develop and implement workflow automations and productivity solutions. Build automation pipelines and low-code/no-code operational solutions. Support rapid implementation of practical productivity enhancements across business units. Contribute directly to configuration, testing, deployment, and adoption support.
• Identify and redesign manual workflows for automation readiness.
• Develop and implement workflow automations and productivity solutions.
• Build automation pipelines and low-code/no-code operational solutions.
• Support rapid implementation of practical productivity enhancements across business units.
• Contribute directly to configuration, testing, deployment, and adoption support.

• Support operationalization of ITU’s internal AI strategy and implementation roadmap.
• Identify and prioritize high-impact AI and automation opportunities across ITU.
• Translate business needs into implementable AI and automation solutions.
• Develop practical implementation approaches, reusable patterns, and deployment models.
• Support alignment between AI initiatives, digital transformation priorities, enterprise architecture, and governance efforts.

• Design, prototype, configure, test, and deploy internal AI agents and copilots.
• Implement AI-enabled assistants supporting: Study group support. Report drafting and summarization. Knowledge retrieval and enterprise search. Meeting and conference support. Workflow acceleration and productivity enhancement. “Ask ITU AI” capabilities.
• Study group support.
• Report drafting and summarization.
• Knowledge retrieval and enterprise search.
• Meeting and conference support.
• Workflow acceleration and productivity enhancement.
• “Ask ITU AI” capabilities.
• Configure prompts, workflows, orchestration logic, integrations, and automation pipelines.
• Work directly with enterprise AI platforms, copilots, low-code/no-code tools, APIs, and workflow orchestration technologies.
• Support integration of AI solutions into operational workflows and business processes.

• Study group support.
• Report drafting and summarization.
• Knowledge retrieval and enterprise search.
• Meeting and conference support.
• Workflow acceleration and productivity enhancement.
• “Ask ITU AI” capabilities.

• Identify and redesign manual workflows for automation readiness.
• Develop and implement workflow automations and productivity solutions.
• Build automation pipelines and low-code/no-code operational solutions.
• Support rapid implementation of practical productivity enhancements across business units.
• Contribute directly to configuration, testing, deployment, and adoption support.

TERMS OF REFERENCE (continuation)

• AI Governance and Responsible AI Adoption: Contribute to practical AI governance approaches and implementation guardrails. Support establishment of operational standards and good practices for enterprise AI deployment. Assist to ensure alignment with ITU cybersecurity, privacy, and data governance requirements.
• Contribute to practical AI governance approaches and implementation guardrails.
• Support establishment of operational standards and good practices for enterprise AI deployment.
• Assist to ensure alignment with ITU cybersecurity, privacy, and data governance requirements.
• AI Upskilling and Organizational Enablement: Deliver practical AI enablement and hands-on workshops. Support business users and teams in adoption of AI and automation tools. Develop implementation guidance, toolkits, and reusable templates. Assist to establish AI champions and internal communities of practice.
• Deliver practical AI enablement and hands-on workshops.
• Support business users and teams in adoption of AI and automation tools.
• Develop implementation guidance, toolkits, and reusable templates.
• Assist to establish AI champions and internal communities of practice.
• Strategic Coordination and Delivery Support: Coordinate closely with ISD teams, transformation initiatives, Sectors, and business divisions. Support agile delivery, stakeholder engagement, and implementation coordination. Contribute to implementation tracking, reporting, and roadmap updates. Support engagement with strategic technology partners and innovation initiatives where required.
• Coordinate closely with ISD teams, transformation initiatives, Sectors, and business divisions.
• Support agile delivery, stakeholder engagement, and implementation coordination.
• Contribute to implementation tracking, reporting, and roadmap updates.
• Support engagement with strategic technology partners and innovation initiatives where required.

• Contribute to practical AI governance approaches and implementation guardrails.
• Support establishment of operational standards and good practices for enterprise AI deployment.
• Assist to ensure alignment with ITU cybersecurity, privacy, and data governance requirements.

• Deliver practical AI enablement and hands-on workshops.
• Support business users and teams in adoption of AI and automation tools.
• Develop implementation guidance, toolkits, and reusable templates.
• Assist to establish AI champions and internal communities of practice.

• Coordinate closely with ISD teams, transformation initiatives, Sectors, and business divisions.
• Support agile delivery, stakeholder engagement, and implementation coordination.
• Contribute to implementation tracking, reporting, and roadmap updates.
• Support engagement with strategic technology partners and innovation initiatives where required.

CONCRETE DELIVERABLES

• Contribution to: Accelerated deployment of internal AI capabilities. Reduced manual effort and operational bottlenecks. Faster workflows and improved productivity. Enhanced institutional AI readiness and adoption. Establishment of scalable enterprise AI and automation foundations across ITU. Strengthened organizational capacity to leverage AI responsibly and effectively.
• Accelerated deployment of internal AI capabilities.
• Reduced manual effort and operational bottlenecks.
• Faster workflows and improved productivity.
• Enhanced institutional AI readiness and adoption.
• Establishment of scalable enterprise AI and automation foundations across ITU.
• Strengthened organizational capacity to leverage AI responsibly and effectively.
• Inception and Prioritized Implementation Plan: Rapid assessment of priority AI and automation opportunities. Prioritized implementation backlog and delivery roadmap. Initial architecture and implementation recommendations.
• Rapid assessment of priority AI and automation opportunities.
• Prioritized implementation backlog and delivery roadmap.
• Initial architecture and implementation recommendations.
• AI Agents and Automation Deployment: Design and deployment of priority internal AI agents and copilots. Implementation of workflow automation solutions across selected business areas. Delivery of initial “Ask ITU AI” capabilities and/or proof-of-concept services. Documentation of deployed solutions and implementation patterns.
• Design and deployment of priority internal AI agents and copilots.
• Implementation of workflow automation solutions across selected business areas.
• Delivery of initial “Ask ITU AI” capabilities and/or proof-of-concept services.
• Documentation of deployed solutions and implementation patterns.
• Organizational Enablement and Adoption: Delivery of targeted AI and automation workshops. Development of practical guidance materials and reusable templates. User enablement and adoption support for deployed solutions.
• Delivery of targeted AI and automation workshops.
• Development of practical guidance materials and reusable templates.
• User enablement and adoption support for deployed solutions.
• Final Recommendations and Transition Package: Final report summarizing delivered solutions, lessons learned, and outcomes. Recommendations for scaling enterprise AI and automation capabilities. Transition and sustainability recommendations for long-term operationalization.
• Final report summarizing delivered solutions, lessons learned, and outcomes.
• Recommendations for scaling enterprise AI and automation capabilities.
• Transition and sustainability recommendations for long-term operationalization.

• Accelerated deployment of internal AI capabilities.
• Reduced manual effort and operational bottlenecks.
• Faster workflows and improved productivity.
• Enhanced institutional AI readiness and adoption.
• Establishment of scalable enterprise AI and automation foundations across ITU.
• Strengthened organizational capacity to leverage AI responsibly and effectively.

• Rapid assessment of priority AI and automation opportunities.
• Prioritized implementation backlog and delivery roadmap.
• Initial architecture and implementation recommendations.

• Design and deployment of priority internal AI agents and copilots.
• Implementation of workflow automation solutions across selected business areas.
• Delivery of initial “Ask ITU AI” capabilities and/or proof-of-concept services.
• Documentation of deployed solutions and implementation patterns.

• Delivery of targeted AI and automation workshops.
• Development of practical guidance materials and reusable templates.
• User enablement and adoption support for deployed solutions.

• Final report summarizing delivered solutions, lessons learned, and outcomes.
• Recommendations for scaling enterprise AI and automation capabilities.
• Transition and sustainability recommendations for long-term operationalization.

COMPETENCIES

Desirable expertise in:

• Strong strategic and systems thinking, with the ability to connect AI initiatives to institutional operational excellence objectives.
• Demonstrated ability to translate business needs into practical, implementable AI and automation solutions.
• Excellent stakeholder engagement, facilitation, and communication skills across technical and non-technical audiences.
• Innovation and experimentation mindset, comfortable operating in agile and fast-paced environments.
• Strong delivery orientation, able to move from strategy to working solutions.
• Sound understanding of responsible AI governance principles.

• Enterprise AI platforms and copilots.
• Generative AI and agentic AI orchestration.
• Workflow automation and low-code/no-code platforms.
• Enterprise search and knowledge systems.
• APIs, integrations, and automation pipelines.
• AI governance and responsible AI frameworks.

QUALIFICATIONS REQUIRED

Education:

Advanced university degree in Artificial Intelligence, Computer Science, Information Systems, Software Engineering, Digital Transformation, or related field OR education from a reputed college of advanced education with a diploma of equivalent standard to that of an advanced university degree in one of the fields above.

Experience:

At least eight (8) years of progressively responsible experience in enterprise digital transformation, AI implementation, automation, or innovation delivery.Demonstrated hands-on experience implementing enterprise AI and/or agentic AI solutions.Strong practical experience developing workflow automations and productivity solutions.Experience working with enterprise AI platforms, copilots, automation tools, APIs, and orchestration frameworks.Proven ability to combine strategic advisory support with technical implementation and operational delivery.Experience working in large international organizations, governments, UN agencies, or similarly complex environments are highly desirable.

Languages:

Knowledge of English at advanced level. Knowledge of another official language of the Union (Arabic, Chinese, French, Russian, Spanish) would be an advantage.

REMUNERATION INFORMATION

Between USD 280 and USD 650 per working day to be defined according to the work experience of the consultant.