Government & Public Services
Redesign public services and government operations for an AI-enabled state — while preserving legality, accountability, security and public trust.
Public organisations face a difficult equation: rising expectations, ageing systems, fragmented data, complex regulation, constrained resources and a responsibility to serve everyone fairly.
Artificial intelligence can help public servants search, analyse, draft, coordinate and process information at a scale that was previously impossible.
But government is not another commercial organisation.
The objective is not simply to automate more work. It is to determine where AI can improve mission delivery and public-service capacity — while authority, due process and accountability remain with public institutions and the people entrusted to exercise them.
I help public administrations, agencies and public institutions identify high-value AI opportunities, redesign workflows around AI and automation, and move from isolated pilots to governed operating capabilities.
Make public services easier to understand, access and complete.
Help public servants work from better evidence and a clearer view of complex issues.
Reduce administrative burden and modernise internal workflows.
Make oversight more consistent, responsive and evidence-led.
Preserve public trust through security, fairness, transparency and control.
Government AI programmes can easily become technology programmes detached from the service or policy problem they were meant to solve.
The starting point should be different:
What public outcome are we trying to improve, which workflow prevents it today, and what role should AI actually play?
AI should be introduced only where it strengthens the mission and where the organisation can explain how the resulting service or decision is governed.
The public sector should automate work where appropriate. It must never automate away public accountability.
AI can explain the administration. It should not silently exercise public authority.
AI prepares the case. The competent authority decides.
AI broadens the evidence. Public institutions remain responsible for policy choices.
AI can reduce administrative effort. Fair competition and procurement accountability remain human and institutional responsibilities.
Increase administrative capacity. Preserve public authority and human responsibility.
Map citizen, business, policy, regulatory and internal workflows.
Identify where delay comes from fragmented information, repetitive document handling, legacy systems, hand-offs and unclear ownership.
Evaluate each opportunity across:
Prioritise use cases that improve service or free public capacity while maintaining clear authority, records and human accountability.
Avoid prioritising automation merely because a process is high-volume.
Define:
Design how AI connects to case-management systems, document repositories, identity and access systems, data platforms, regulatory systems, finance and procurement platforms, legacy applications and APIs.
Delivery happens with internal public-sector teams and appropriate technology partners. My role is operating-model design, workflow architecture, prioritisation and transformation leadership.
Measure service quality, processing time, accessibility, workforce capacity, error reduction, trust and risk.
Scale only where governance, security and operational ownership are proven.
Government AI requires stronger controls where systems can affect rights, obligations, access to services or public decisions.
Different workflows require different levels of autonomy.
AI searches, summarises, drafts and prepares.
A public servant reviews the output before it enters an official process.
AI proposes a prioritisation, interpretation or next action together with its evidence and relevant rules.
An authorised person accepts, adjusts or rejects it.
Automation performs low-risk, reversible administrative actions under predefined rules.
Exceptions and decisions involving rights, discretion or significant impact escalate to authorised people.
Public-sector AI governance should address:
If the state cannot explain who is responsible for an AI-enabled decision, the workflow is not ready.
AI Opportunity Assessment
Mission, service, regulatory and administrative workflows
AI, agent and automation opportunities
By public value, complexity, legal authority, data readiness and risk
Initial AI-enabled workflows with governance and human controls
An actionable AI Transformation Roadmap
The result is not a list of AI tools. It is a clear view of where AI can improve public-service capacity, what authority must remain with people and institutions, and what to do first.
Discuss an AI Opportunity AssessmentAI transformation for Government in Switzerland
I work at the intersection of executive leadership, finance, operating-model transformation, technology and artificial intelligence.
My approach starts with the mission, public service and operating model — not with a specific AI vendor.
I combine strategic and financial discipline shaped by executive leadership experience with a practical approach to redesigning complex organisations where governance, accountability and trust matter.
I start with how the institution should operate, not with the tool it should buy.
Public Administrations · Cantons & Municipalities · Agencies · Regulators · Public Institutions
