Course Introduction

The Public Administration Technology Adoption and Digital Modernization Training Course provides an advanced framework for helping government institutions adopt, integrate, govern, and scale digital technologies to modernize administrative systems and improve public-sector performance. It equips senior public administrators, ICT leaders, digital-transformation managers, institutional-reform specialists, programme directors, and technology professionals with the capabilities required to move government organizations from fragmented and legacy-based operations toward modern, integrated, secure, and user-centred digital administration.

Technology adoption in government involves far more than acquiring new software or infrastructure. Successful modernization requires a clear understanding of institutional priorities, existing processes, technology maturity, workforce capabilities, user needs, organizational culture, governance arrangements, financial constraints, and implementation risks. Participants will learn how to assess organizational readiness, identify modernization priorities, build technology-adoption strategies, select appropriate solutions, and establish implementation roadmaps that produce measurable administrative improvements.

The programme examines the complete modernization lifecycle, from digital maturity assessment and technology planning through process redesign, solution selection, procurement, implementation, integration, change management, workforce development, adoption measurement, and continuous improvement. Participants will explore how to modernize legacy systems, simplify administrative procedures, introduce digital workflows, strengthen interoperability, adopt cloud technologies, improve information management, and establish reliable digital services.

A central focus of the course is organizational adoption. Even technically successful systems can fail when employees lack skills, processes are not redesigned, leadership is not engaged, or users do not understand the benefits of change. Participants will therefore develop practical approaches to stakeholder engagement, communication, training, reskilling, change leadership, user support, adoption measurement, and resistance management. The programme emphasizes building institutional ownership so that digital modernization becomes embedded in everyday public administration.

Participants will also examine emerging technologies shaping public-sector modernization, including artificial intelligence, generative AI, robotic process automation, cloud computing, data analytics, digital identity, low-code platforms, intelligent document processing, APIs, digital public infrastructure, and mobile technologies. They will learn how to evaluate these technologies according to actual government problems, institutional readiness, cost, scalability, security, privacy, interoperability, accessibility, sustainability, and expected public value.

The course places strong emphasis on responsible modernization. Participants will examine cybersecurity, privacy, data governance, technology risk, vendor dependency, business continuity, accessibility, digital inclusion, responsible AI, and regulatory compliance. The goal is to ensure that modernization improves administrative performance without compromising public trust, information security, institutional accountability, or equitable access to government services.

By the end of the programme, participants will be able to assess digital readiness, develop modernization strategies, prioritize technology investments, manage adoption programmes, redesign administrative processes, govern technology implementation, strengthen workforce capabilities, and measure modernization outcomes. The training enables public institutions to establish sustainable digital transformation programmes that improve efficiency, responsiveness, transparency, resilience, and the quality of public administration.

Duration

10 days

Who Should Attend

• Government ministers, permanent secretaries, directors, and senior public administrators.

• Heads of ICT, digital transformation, administration, and institutional modernization.

• Chief information officers and government technology managers.

• Digital-transformation programme, project, and portfolio managers.

• Public-sector process-improvement and institutional-reform specialists.

• Enterprise architects, systems analysts, application managers, and technology professionals.

• Data, artificial intelligence, analytics, automation, and information-management specialists.

• Cybersecurity, privacy, information-security, risk, and compliance professionals.

• Human-resource and organizational-development professionals supporting digital adoption.

• Procurement and contract managers responsible for technology modernization.

• Monitoring, evaluation, performance, and benefits-realization specialists.

• Consultants, advisers, development practitioners, and technical experts supporting public-sector modernization.

Course Objectives

• Develop advanced capabilities for planning, managing, implementing, governing, and sustaining technology adoption and digital modernization in public administration.

• Assess institutional digital maturity and readiness across leadership, governance, processes, technology, data, workforce, cybersecurity, culture, and service delivery.

• Identify modernization priorities based on administrative challenges, service needs, technology gaps, institutional capacity, user requirements, cost, risk, and expected public value.

• Develop comprehensive digital-modernization strategies aligned with government mandates, institutional priorities, development objectives, and measurable outcomes.

• Evaluate technology solutions according to functionality, interoperability, security, scalability, affordability, sustainability, accessibility, maintainability, and organizational readiness.

• Redesign administrative processes before technology adoption to eliminate unnecessary activities, simplify procedures, reduce duplication, and improve operational efficiency.

• Develop technology-adoption roadmaps that sequence initiatives according to strategic importance, readiness, dependencies, resources, risks, and benefits.

• Strengthen legacy-system modernization through application assessment, technology migration, integration, consolidation, replacement, and lifecycle management.

• Apply change-management, communication, training, reskilling, user-support, and organizational-development techniques to improve technology adoption.

• Evaluate AI, automation, cloud computing, analytics, digital identity, low-code platforms, intelligent document processing, and other emerging technologies for public-sector modernization.

• Establish cybersecurity, privacy, data governance, business continuity, accessibility, technology-risk, and responsible-innovation controls.

• Measure modernization performance through adoption, service quality, processing time, productivity, system reliability, user satisfaction, cost efficiency, and benefits-realization indicators.

Comprehensive Course Outline

Module 1: Foundations of Public Administration Technology Adoption

• Examine the role of technology in modernizing public institutions, administrative systems, government operations, and public-service delivery.

• Distinguish between digitization, digitalization, automation, technology adoption, modernization, and broader digital transformation.

• Analyse common barriers to government technology adoption including legacy systems, skills gaps, resistance to change, fragmented governance, inadequate infrastructure, and limited investment capacity.

• Explore emerging developments involving digital-by-design administration, intelligent government, digital public infrastructure, AI-enabled administration, and technology-enabled institutional reform.

Module 2: Digital Maturity and Organizational Readiness Assessment

• Assess institutional maturity across leadership, governance, processes, applications, infrastructure, data, cybersecurity, workforce, service delivery, innovation, and organizational culture.

• Evaluate organizational readiness for specific technology initiatives using capability, resource, skills, leadership, process, data, and technology assessments.

• Identify institutional gaps that could prevent successful technology adoption and develop strategies to address readiness constraints.

• Explore emerging assessment approaches involving AI-assisted maturity analysis, digital-readiness dashboards, benchmarking, technology-radar analysis, and scenario planning.

Module 3: Digital Modernization Strategy and Vision

• Develop digital-modernization visions aligned with institutional mandates, government priorities, administrative requirements, service objectives, and public value.

• Translate strategic goals into modernization priorities covering processes, systems, infrastructure, data, workforce, services, governance, and security.

• Establish strategic principles for technology selection, modernization, interoperability, security, sustainability, user experience, and investment.

• Explore emerging strategic models involving government-as-a-platform, digital public infrastructure, proactive services, intelligent administration, and adaptive modernization strategies.

Module 4: Administrative Process Redesign and Simplification

• Map existing administrative processes to identify bottlenecks, duplication, manual activities, excessive approvals, delays, information gaps, and unnecessary controls.

• Apply lean-management and business-process redesign techniques before introducing technology.

• Develop future-state processes that simplify administrative work while maintaining appropriate legal, financial, regulatory, security, and accountability requirements.

• Explore emerging approaches involving process mining, AI-assisted process redesign, intelligent workflow analysis, automation opportunity discovery, and adaptive processes.

Module 5: Technology Selection and Modernization Planning

• Define functional, technical, security, integration, performance, accessibility, data, and operational requirements for modernization initiatives.

• Evaluate technology alternatives based on functionality, total cost of ownership, interoperability, scalability, security, support, sustainability, vendor dependency, and institutional capability.

• Develop technology-modernization business cases linking proposed investments with measurable administrative and service-delivery benefits.

• Explore emerging selection approaches involving technology radars, AI-assisted solution assessment, architecture modelling, digital twins, and scenario-based technology evaluation.

Module 6: Legacy-System Modernization and Technology Lifecycle Management

• Assess legacy applications and infrastructure according to business criticality, technology risk, technical debt, supportability, security, performance, integration, and lifecycle status.

• Develop modernization options including replacement, re-platforming, refactoring, re-hosting, consolidation, integration, retirement, and controlled coexistence.

• Establish technology-lifecycle frameworks covering acquisition, deployment, maintenance, modernization, optimization, replacement, and retirement.

• Explore emerging modernization approaches involving cloud migration, application modernization platforms, containers, APIs, microservices, low-code technologies, and automated infrastructure.

Module 7: Digital Platforms, Cloud and Infrastructure Modernization

• Evaluate cloud, hybrid-cloud, multi-cloud, on-premises, and shared-platform approaches for public-sector modernization.

• Develop infrastructure-modernization strategies addressing availability, scalability, performance, security, resilience, cost, interoperability, and data sovereignty.

• Establish platform requirements for digital services, workflow automation, information management, analytics, applications, and collaboration.

• Explore emerging infrastructure technologies involving cloud-native architecture, containers, serverless platforms, edge computing, infrastructure as code, and platform engineering.

Module 8: Digital Workflow and Administrative Automation

• Design digital workflows incorporating electronic forms, automated routing, business rules, electronic approvals, notifications, document management, and case management.

• Identify repetitive and rules-based administrative activities suitable for robotic process automation and intelligent automation.

• Integrate workflows with existing government systems using APIs, databases, identity services, payment systems, and shared platforms.

• Explore emerging technologies involving RPA, hyperautomation, AI agents, process mining, intelligent orchestration, and autonomous administrative workflows.

Module 9: Artificial Intelligence and Emerging Technology Adoption

• Examine generative AI, machine learning, predictive analytics, intelligent document processing, natural-language processing, digital twins, IoT, and low-code platforms.

• Identify practical public-sector use cases according to administrative problems, service needs, data availability, technical feasibility, institutional readiness, and potential benefits.

• Establish responsible adoption frameworks covering human oversight, accuracy, bias, privacy, cybersecurity, explainability, transparency, and accountability.

• Explore emerging developments involving AI agents, multimodal AI, autonomous workflows, predictive government, intelligent decision support, and personalized digital services.

Module 10: Technology Procurement and Implementation Governance

• Develop procurement strategies for applications, infrastructure, cloud services, AI technologies, automation platforms, cybersecurity, consulting, and managed services.

• Establish technical specifications, evaluation criteria, interoperability requirements, security conditions, implementation expectations, and service-level requirements.

• Develop implementation governance covering programme leadership, decision rights, reporting, quality assurance, risk management, issue escalation, and benefits realization.

• Explore emerging procurement models involving agile contracting, outcome-based procurement, innovation partnerships, shared technology platforms, and technology-as-a-service.

Module 11: Change Management and Organizational Technology Adoption

• Analyse organizational resistance to technology adoption and identify cultural, structural, leadership, process, skill, and communication barriers.

• Develop change-management strategies covering stakeholder mapping, communication, leadership engagement, employee participation, training, user support, and transition planning.

• Establish adoption plans that address different user groups, technology competencies, operational roles, management expectations, and service requirements.

• Explore emerging approaches involving behavioural analytics, AI-assisted change management, digital adoption platforms, personalized training, and workforce analytics.

Module 12: Digital Workforce, Skills and Institutional Capability

• Assess current and future workforce capabilities required for digital administration, technology management, data, AI, cybersecurity, service delivery, and process transformation.

• Develop workforce-development strategies covering digital literacy, technical skills, data literacy, AI awareness, cybersecurity, leadership, service design, and process improvement.

• Establish reskilling and upskilling programmes that help employees transition from manual and repetitive tasks toward higher-value administrative and analytical responsibilities.

• Explore emerging workforce models involving human-AI collaboration, digital operations teams, multidisciplinary transformation teams, automation centres of excellence, and future public-sector skills.

Module 13: Cybersecurity, Privacy and Digital Modernization Risk

• Integrate cybersecurity into technology-modernization planning, procurement, architecture, implementation, operations, and lifecycle management.

• Apply privacy-by-design principles to digital services, data collection, information sharing, analytics, automation, and AI.

• Develop risk-management frameworks covering cyber threats, technology failure, vendor dependency, data loss, legacy risks, implementation failure, digital exclusion, and service disruption.

• Explore emerging risks involving AI-enabled cyberattacks, ransomware, identity compromise, cloud vulnerabilities, software supply chains, zero-trust environments, and automated attacks.

Module 14: Digital Inclusion, Accessibility and User Adoption

• Design modernization initiatives that address accessibility, digital literacy, connectivity, language, affordability, device limitations, and other barriers to digital participation.

• Apply accessibility principles to websites, applications, forms, documents, authentication, payments, and digital-service channels.

• Develop assisted-digital and alternative service approaches for users who cannot independently access digital government services.

• Explore emerging inclusion technologies involving AI translation, voice interfaces, adaptive interfaces, assistive technologies, conversational services, and multimodal government platforms.

Module 15: Modernization Performance and Benefits Realization

• Develop modernization performance indicators covering technology adoption, processing time, productivity, service quality, system availability, transaction completion, user satisfaction, and cost efficiency.

• Establish benefits-realization frameworks connecting technology investments to administrative improvements, service outcomes, organizational productivity, and public value.

• Develop executive dashboards showing modernization progress, investment performance, risks, dependencies, adoption, benefits, and implementation issues.

• Explore emerging performance approaches involving predictive analytics, AI-generated management insights, real-time transformation dashboards, automated reporting, and digital performance intelligence.

Module 16: Advanced Public Administration Digital Modernization Roadmap

• Integrate digital maturity assessment, strategy, process redesign, legacy modernization, cloud, automation, AI, procurement, change management, cybersecurity, workforce development, and performance management.

• Develop comprehensive modernization roadmaps defining strategic priorities, technology initiatives, implementation phases, resources, dependencies, risks, governance, and measurable benefits.

• Establish sustainable modernization operating models connecting technology management with administrative reform, service improvement, innovation, workforce development, and continuous improvement.

• Prepare public institutions for future modernization environments involving intelligent administration, AI-enabled services, autonomous workflows, predictive government, integrated platforms, and continuously evolving digital public infrastructure.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.