Training course · Lovable · Public Sector

Lovable for the Public Sector

Build web apps from prompts: take Lovable from idea to a working React app with Supabase backend, GitHub sync and deployment.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Lovable for the Public Sector” is designed for roles such as Caseworkers in federal, regional and local government, Managers of departments and public agencies and Digital transformation and e-government leads and shows step by step how to use Lovable productively, safely and transparently in Public Sector – from the fundamentals to advanced workflows.

Lovable lets you build web applications simply by describing what you need, with no programming knowledge required. In this course, business users from marketing, sales, HR, operations or product management learn how to turn an idea into a clickable, working application within hours: a landing page for a campaign, an internal tool for logging requests, a simple customer portal or a prototype that helps you pitch an idea convincingly inside your organisation.

The course is hands-on throughout. You work on a small project of your own and learn to state requirements clearly, store data securely, set up logins and publish the result. Just as important is a realistic perspective: which projects you can deliver without IT support, when to involve IT or your data protection officer, and how to hand a successful prototype over to a development team. That way you use Lovable productively without creating shadow IT or security risks.

Public authorities and local councils face a double squeeze: the digitalisation of public services is accelerating while skilled staff are scarce and caseloads keep rising. Generative AI can noticeably relieve caseworkers – drafting decisions and replies to citizens, summarising submissions in public consultations, turning official language into plain language and preparing committee and council papers. AI assistants also help staff navigate legislation and administrative guidelines more quickly. At the same time, the public sector faces particularly high standards for lawfulness, transparency, data protection and IT security. Introducing AI means building approval rules, record-keeping duties and final human decision-making into the process from day one.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Caseworkers in federal, regional and local government
  • Managers of departments and public agencies
  • Digital transformation and e-government leads
  • Staff in citizen service centres and contact centres
  • Committee and council secretariat staff

Typical challenges we address

  • Rising caseloads combined with staff shortages
  • Complex legislation and administrative rules that change frequently
  • Citizen communication that must be legally sound yet easy to understand
  • Media breaks between specialist systems, electronic files and paper records

What you will be able to do

  • You describe requirements in a way that lets Lovable generate a usable web application.
  • You create a landing page with a form and publish it on your own.
  • You build an internal tool with login, data storage and roles without any coding.
  • You develop clickable prototypes and use them to align with stakeholders.
  • Use AI lawfully for drafting, citizen communication and summaries.
  • Understand the limits of AI in discretionary decisions and design review and approval steps.
  • Identify processes in your department that are suitable for AI support and automation.

Course outline

Module 1 From idea to first draft
  • What Lovable can do and what happens behind the scenes, explained plainly
  • Breaking an idea down into goal, user groups, pages and content
  • Writing your first prompt and judging the result
  • Making small, precise change requests instead of starting from scratch
Module 2 Landing pages and web presence
  • Campaign and event pages with a clear message and call to action
  • Adding images, copy and your corporate design
  • Contact and registration forms that store submissions
  • Checking how pages look on mobile and desktop
Module 3 Internal tools and forms
  • Building input forms, overview lists and simple dashboards
  • Storing data in a database without writing SQL
  • Setting up logins and roles: who may see and change what
  • Spotting typical errors and fixing them with the undo history
Module 4 Customer portals and prototypes
  • Simple portals for customers or partners with a protected area
  • Clickable prototypes for product ideas and stakeholder presentations
  • Collecting feedback and implementing iterations in a focused way
  • Handing a well-documented prototype over to development or IT
Module 5 Publishing, security and ground rules
  • Publishing your app and making it available on your own domain
  • Personal data, GDPR and coordination with IT and data protection
  • Costs, usage limits and realistic effort
  • Recognising when a project belongs in professional developers’ hands
Module 6 Hands-on project: your own solution for Public Sector
  • Deadline and follow-up board – A simple internal tool that records cases with deadlines, shows follow-ups due and gives teams a shared overview of pending processing steps.
  • Standard clause assistant – A small app that makes approved standard clauses searchable and assembles a draft letter from selected clauses and case data.
  • Consultation clusterer – A tool that imports submissions, groups them by theme and exports a table with summaries and source references for the assessment.
Module 7 Data protection, quality & transfer to daily work
  • Administrative and citizen data is subject to the GDPR, national data protection law and, where applicable, social security or tax secrecy; AI may only be used in approved, secure environments and not for automated individual decisions without a legal basis. The EU AI Act, e-government legislation, procurement law and staff council participation must also be observed.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Drafting decisions and letters

Using standard clauses, the facts of the case and the relevant legal provision, AI drafts hearing letters, statements of reasons or requests for documents, which caseworkers review, adapt and sign off under their own responsibility.

Answering citizen enquiries

An AI assistant drafts replies to frequent enquiries by email or web form, points to the responsible office and online services and keeps a friendly, accessible tone.

Plain language and translation

Leaflets, form guidance and web content are rewritten in plain or easy-read language and translated into common languages, improving accessibility of public services. Technical terms are explained as well.

Analysing public consultations

Large numbers of submissions from citizens and statutory consultees are grouped by topic, summarised and transferred into a response table that serves as the basis for professional assessment.

Committee papers and minutes

AI helps structure decision papers, condenses expert reports into status updates and turns notes into structured minutes for committees and council meetings. Proposed resolutions are kept clearly separate from the facts.

Preparing procurement documents

Specifications, selection criteria and award matrices are pre-structured from requirement descriptions and checked for completeness; legal responsibility under procurement law remains with the contracting authority.

Possible hands-on projects

Deadline and follow-up board

A simple internal tool that records cases with deadlines, shows follow-ups due and gives teams a shared overview of pending processing steps.

Standard clause assistant

A small app that makes approved standard clauses searchable and assembles a draft letter from selected clauses and case data.

Consultation clusterer

A tool that imports submissions, groups them by theme and exports a table with summaries and source references for the assessment.

Prerequisites

Confident use of a web browser and standard office software is all you need. No programming knowledge is required. Experience with administrative procedures and casework; no technical background required.

Technical requirements

A laptop with an up-to-date browser, a Lovable account (a paid plan is recommended for intensive use) and free GitHub and Supabase accounts.

Data protection & compliance

Administrative and citizen data is subject to the GDPR, national data protection law and, where applicable, social security or tax secrecy; AI may only be used in approved, secure environments and not for automated individual decisions without a legal basis. The EU AI Act, e-government legislation, procurement law and staff council participation must also be observed.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Fri, 27 November 2026 Online Request
  • Fri, 4 December 2026 Kaiserslautern Request
  • Thu, 10 December 2026 Online Request
  • Mon, 14 December 2026 Bremen Request
  • Fri, 15 January 2027 Online Request
  • Thu, 21 January 2027 Salzburg Request

Frequently asked questions

Do I own the code Lovable generates?

Yes. The output is standard React and TypeScript code that you can push to your own repository via the GitHub sync. From there it can be developed, tested and deployed entirely independently of Lovable. In the course we show you how to set this up properly from day one so you avoid any lock-in.

Is Lovable suitable for production applications?

For prototypes, MVPs, internal tools and modest customer-facing apps, yes, provided you review security and the data model carefully. Supabase Row Level Security, secrets handling and the maintainability of a growing codebase all need attention. The course covers exactly which checks make sense before you go live.

How does Lovable differ from Cursor or Claude Code?

Lovable is a browser-based app builder with a fixed stack, built-in hosting and Supabase integration, which makes it ideal for getting started quickly. Cursor and Claude Code work inside any existing codebase and technology. Many teams combine them: start in Lovable, then continue in the editor via GitHub.

May a public authority produce decisions with AI?

AI may prepare drafts, but the decision and signature remain with the responsible officer. Fully automated administrative acts are only permitted with an explicit legal basis and no discretion involved. The course shows how to review AI drafts in a documented way to ensure lawfulness and traceability.

Which AI tools are suitable for public administration?

Suitable tools are those your organisation has cleared for data protection and security, such as AI assistants provided centrally by government IT or enterprise editions with EU data processing. The course is tool-neutral and teaches working methods that transfer to whichever tools are approved in your authority.

How much does “Lovable for the Public Sector” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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