Result of Service- Approved and validated Inception report Outlining the approach, methodology, and work plan. - Approved and Validated Technology Stack Analysis Report including evaluation criteria, comparative analysis, and recommendations, with a focus on AI integration. - Approved and Validated Technology Stack Analysis Report including evaluation criteria, comparative analysis, and recommendations, with a focus on AI integration. - Approved and validated Implementation Roadmap including a high-level plan for adopting the recommended stack, including AI components. - Final approved validated comprehensive report. Work LocationNairobi, Kenya Expected duration03 Mar - 30 May 2025 (40 Working Days) Duties and Responsibilities1. Background of the assignment: As the global guardian of the United Nations standards and norms in crime prevention and criminal justice the United Nations Office on Drugs and Crime (UNODC) is mandated to support Member States in upholding the rule of law, promoting crime prevention and effective, fair, humane and accountable criminal justice systems. Within the framework of the UNODC Regional Programme for Eastern Africa (2016-2021), and in close cooperation with the Regional Section for Africa and the Middle East at UNODC headquarters, the Crime Prevention and Criminal Justice Programme of ROEA seeks to implement these objectives through support to major justice reforms processes undertaken by East African States. In line with this mandate the UNODC project ‘Programme for Legal Empowerment and Aid Delivery in Kenya - Phase II (PLEAD II)’ aims to support the Government of Kenya to reinforce the rule of law, improve access to justice, increase efficiency and accountability in the justice system, and use technology as an enabler of justice. Anti-corruption and digitalisation will feature as central components of the Programme while improving the coordination of criminal justice responses to corruption and strengthening the capacity of justice actors to investigate and prosecute large-scale corruption cases. An emphasis on the expanded use of technology will seek to improve the effectiveness and accessibility of service delivery in the justice sector to all citizens. In adherence with this mandate, and in line with the priorities of the UN Kenya Sustainable Development Cooperation Framework 2022-2026, the second phase of the Programme for Legal Empowerment and Aid Delivery in Kenya (PLEAD II) was designed to support the Republic of Kenya’s adherence to international norms and standards on crime prevention, criminal justice, anti-corruption and human rights. The design of PLEAD II is informed by Kenya’s justice sector reform agenda, current priorities of key criminal justice institutions and citizens’ expectations, as well as the achievements and lessons learned during phase one of PLEAD. The Programme is funded by the European Union and targets nineteen (19) counties in Kenya namely: Kisumu, Nairobi, Mombasa, Uasin Gishu and Nakuru, Wajir, Mandera, Lamu, Tana River, Marsabit, Isiolo, Garissa, Meru, Kericho, Kisii Bungoma, Kakamega, Migori and Narok. Additionally, the Programme targets support to the two following institutions in the justice chain (national partners): 1. The Judiciary. 2. The Office of the Director of Public Prosecutions (ODPP). 3. The Kenyan Probation and Aftercare Service (PACS). 4. The Witness Protection Agency (WPA). 5. The National Council on the Administration of Justice (NCAJ). 6. The Ethics and Anti-Corruption Commission (EACC) 7. The National Police Service. 8. The Kenya Prisons Service. 9. The Directorate of Children’s Services EACC developed a comprehensive automation plan to digitize and modernize its case management system. There are seven key law enforcement processes currently under automation. The goal is to enhance efficiency, transparency, and scalability in handling corruption-related cases while leveraging cutting-edge technologies, including Artificial Intelligence (AI). To achieve this, EACC requires a comprehensive analysis of the technology stack that will underpin the proposed system, with a specific focus on integrating AI capabilities. The analysis will ensure the selection of a robust, secure, and future-proof technology stack that aligns with EACC's operational requirements, regulatory standards, and long-term digital transformation goals. 2. Purpose of the assignment: The primary objective of this consultancy is to to provide technical and subject matter expertise in the analysis of the EACC Integrated Case Management System (iCMS) and to conduct a detailed technology stack analysis for the proposed EACC case management system, with a focus on AI integration. The analysis will: - Evaluate current and emerging technologies relevant to case management systems, including AI-driven solutions. - Recommend a scalable, secure, and cost-effective technology stack that meets EACC's functional, non-functional, and security requirements as well as best industry practices, with a focus on AI capabilities. - Identify and prioritize AI use cases to enhance system functionality and operational efficiency. - Provide a roadmap for the implementation, integration, and adoption of the recommended technology stack, including AI components. 3. Specific Tasks to be performed by the consultant: The Consultant will work under the overall supervision of the UNODC ROEA Head of Criminal Justice Programme and the direct supervision of the and the PLEAD II programme Manager. He or She will also be in close technical cooperation with the Associate Programme Management Officer under the Criminal Justice Programme in ROEA. The Consultant will also work closely with EACC as PLEAD’s beneficiary institution, the donor (European Union) and UNODC (ROEA and Headquarters) in performing the following substantive duties and responsibilities: a) Document the system requirements in close consultation with EACC b) Conduct a comprehensive requirement analysis of the iCMS - Conduct stakeholder engagement to understand EACC's operational needs, challenges, and expectations for the case management system. - Identify functional requirements (e.g., case tracking, document management, reporting, AI-driven analytics) and non-functional requirements (e.g., scalability, security, performance). c) Undertaking a review of the technology landscape - Analyze current trends and best practices in case management systems, including cloud-based solutions, open-source platforms, proprietary software, and AI-driven tools. - Evaluate technologies across the following layers: 1. Front-end: User interface frameworks (e.g., React, Angular) and AI-powered user experience enhancements (e.g., chatbots, voice assistants). 2. Back-end: Server-side technologies (e.g., Node.js, Django, Spring Boot) and AI integration frameworks (e.g., TensorFlow, PyTorch). 3. Database: Relational and non-relational databases (e.g., PostgreSQL, MongoDB) with AI-driven data analytics capabilities. 4. Integration: APIs, middleware, and microservices architecture, including AI model deployment and management. 5. Security: Authentication, encryption, and compliance with data protection regulations, with a focus on securing AI models and data. 6. Hosting: Cloud platforms (e.g., AWS, Azure, Google Cloud) vs. on-premises solutions, including AI-specific services (e.g., AWS SageMaker, Azure AI). d) Identify potential AI use cases for the case management system as well as assess the feasibility, benefits and risks of each use case. Sample Use cases: - Natural Language Processing (NLP) for document analysis and summarization. - Predictive analytics for case prioritization and risk assessment. - Machine Learning (ML) for anomaly detection and fraud prevention. - Intelligent automation for workflow optimization. e) Propose a technology stack that aligns with EACC's requirements and budget, including AI components. f) Provide technical training to key staff and system users across various EACC departments g) Prepare a detailed report documenting the analysis, findings, recommendations, and a high-level road map for the adoption and integration of the recommended technology stack. Qualifications/special skillsAn advanced university (Master or equivalent) degree in IT, Artificial Intelligence, Computer Science, software engineering or a related field is required. A first-level university degree in similar fields in combination with two additional years of qualifying work experience may be accepted in lieu of the advanced degree. • A minimum of 07 years of experience in IT, or AI, consulting with a focus on technical analysis and system integration is required. • Experience in planning, executing, and delivering IT projects, with demonstrated knowledge of international best practices, particularly those from EU Member States is highly desirable. • Experience in designing and delivering technical training programs for diverse groups such as system users is desirable. • Strong knowledge of AI technologies, including machine learning, natural language processing, and predictive analytics is desirable • Experience with cloud computing, cybersecurity, and software development frameworks is required. • Experience in collaborating with various stakeholders, including government agencies, to understand their needs and provide tailored solutions is desirable. • Experience in working with EU funded projects is desirable. LanguagesEnglish and French are the working languages of the United Nations Secretariat. For this position, fluency in oral and written English is required. Knowledge of another United Nations Secretariat language is an advantage. Additional InformationNot available. No FeeTHE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.
This vacancy is archived.