Core Programs
3 Flagship Programs
Practice-based learning programs designed for public sector professionals — grounded in real organizational challenges and supported by a rich toolkit of frameworks, templates, and AI-enhanced tools.
Program One
Innovation in Public Sector
Service Innovation, Design Thinking, Human-Centred Government
This program equips public sector professionals with the mindsets, methods, and tools to drive meaningful service innovation within government contexts. Participants learn how to apply design thinking to complex citizen-facing challenges, moving from empathy and problem framing through to prototype and implementation.
Core Modules
Tool Templates
Weeks Duration
Sector Focus
Design Thinking for Public Organisations
A dedicated sub-program applying the Stanford d.school methodology to government service design. Participants work through real service challenges — from understanding citizen needs through ideation, prototyping, and structured testing — producing tangible outputs that can be taken directly into implementation.
Innovation Fundamentals
Introduction to innovation theory adapted for the public sector context — why government organizations must innovate, common barriers, and how innovation differs from improvement. Participants explore case studies from leading digital governments including Singapore, Estonia, and Denmark.
Service Innovation
Systematic approaches to identifying opportunities for service improvement and transformation. Covers service ecosystem mapping, pain point analysis, citizen journey design, and the principles of radical simplification in government service delivery.
Design Thinking Methodology
Deep practical engagement with the five stages of design thinking — Empathize, Define, Ideate, Prototype, Test. Participants apply each stage to a real organizational challenge, building fluency in human-centred methods that can be repeated in their organizations.
Implementation & Scaling
Translating prototype successes into scaled government initiatives. Covers change management, stakeholder communication, policy alignment, regulatory considerations, and building internal innovation culture and capacity.
Tools and Templates Included
Persona-Insight
Citizen persona and insight mapping canvas
Service Blueprint
End-to-end service process visualization
Innovation Project Charter
Structured project initiation document
How Might We
Problem reframing methodology cards
Prototype (MVP)
Minimum viable prototype planning guide
Journey Map Template
Multi-actor service journey visualization
Program Two
Digital (AI) Skills
Digital Literacy, Data Skills, AI Tool Proficiency
A comprehensive skills development program that builds practical digital and AI capability across all levels of the public sector workforce. From data literacy to AI tool proficiency, participants gain the skills to work effectively and confidently in an AI-augmented environment.
Skill Tracks
Proficiency Levels
Weeks Duration
Staff Levels
Individual Scorecard Integration
Participants complete the DriLab Individual Digital Scorecard before program entry, establishing a personalized baseline and ensuring each learner engages with content matched to their actual capability level and role requirements.
Digital Literacy
Building confident, critical engagement with digital technologies in the workplace. Covers understanding digital systems, online collaboration tools, digital communication, information security awareness, and navigating the digital government ecosystem as both user and provider.
Data-Based Skills
Practical capability to work with data at every level — from understanding data structures and quality to performing basic analysis, interpreting dashboards, and using data to inform decisions. Emphasis on government data contexts: open data, administrative data, and survey data.
Digital Tools Skills
Hands-on proficiency with AI-powered productivity tools, collaborative platforms, and government-relevant digital applications. Includes prompt engineering for generative AI, AI-assisted document drafting, data visualization, and workflow automation with low-code tools.
AI Awareness & Ethics
Building the conceptual understanding needed to engage responsibly with AI systems — how AI works, where it fails, algorithmic bias, AI ethics frameworks, and the responsibilities of public servants when deploying AI in citizen-facing contexts.
Tools and Templates Included
Data Analysis Template
Structured template for government data analysis
Individual Scorecard
Personal digital skills assessment & profile
AI Tool Evaluation
Framework for assessing AI tool suitability
Data Quality Checklist
Step-by-step data quality review process
Prompt Engineering Guide
Practical prompting for government use cases
Digital Risk Checklist
Personal digital security and privacy guide
Program Three
AI Strategic Implementation
AI Foundations, Prompt Engineering, Agentic AI, AI Development Projects
The most advanced DriLab program — designed for digital leaders, senior managers, and specialist practitioners who are responsible for driving AI adoption and implementation within their organizations. Covers the complete AI implementation lifecycle from strategic assessment to project governance.
Core Modules
Weeks Duration
Target Level
Sector Focus
Program Outcome
Participants graduate with a complete AI Strategic Roadmap for their organization, a validated AI Maturity Model assessment, and the capability to govern and sponsor AI implementation projects with confidence.
AI Introduction and Applications
Comprehensive grounding in AI technology — machine learning, generative AI, large language models, computer vision, and agentic systems. Focus on public sector applications: predictive analytics for policy, document processing, citizen service automation, and risk analysis.
Prompt Engineering
Advanced prompt design for strategic and operational use cases. Participants develop fluency in structuring complex prompts for research, analysis, drafting, and decision support — with specific modules on responsible AI use and prompt governance in government contexts.
AI Agents and Agentic AI
Understanding and working with agentic AI systems — autonomous agents, multi-agent pipelines, and AI orchestration. Participants learn to specify, evaluate, and govern agentic AI deployments, and to identify where agentic architectures offer government efficiency gains.
AI Development Projects
Project-based learning in which participants lead a structured AI implementation project through all phases: problem framing, business case development, vendor evaluation, pilot design, change management, and outcome measurement. Supported by the DriLab AI Project Framework.
Tools and Templates Included
AI Maturity Model
5-dimension AI readiness assessment tool
AI Strategic Roadmap
Phased implementation planning template
AI Risk Assessment
Structured AI risk and impact framework
AI Project Charter
AI project initiation and governance doc
Prompt Library
Government-specific prompt templates
AI Adoption Profile
Rogers' framework adapted for AI adoption
Integrated Platform
AI Service Platform
All DriLab programs are supported by the AI Service Platform — providing risk indicators, automated reporting, and a knowledge database service to reinforce learning and support implementation.