Training course · Lovable · Accounting

Lovable for Accounting Teams

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 Accounting Teams” is a hands-on course for roles such as General ledger and accounts payable accountants, Accounts receivable specialists and Financial accountants preparing statements. Rather than learning Lovable in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Accounting.

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.

Accounting is shaped by recurring processes, high document volumes and strict requirements for proper bookkeeping. Generative AI and automation provide real relief: AI assistants extract data from supplier invoices, suggest account assignments, explain transactions under local GAAP or IFRS and draft queries to suppliers or internal departments. AI agents support account reconciliations, the month-end close and the preparation of documents for external auditors and tax advisers. Responsibility for correct postings stays with people, but routine work shrinks, leaving time for exceptions, process improvement and analysis. The prerequisites are clear review steps, documented procedures and tools that respect requirements for traceability and immutability, such as the German GoBD principles.

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?

  • General ledger and accounts payable accountants
  • Accounts receivable specialists
  • Financial accountants preparing statements
  • Heads of accounting
  • Shared service centre staff

Typical challenges we address

  • Processing high volumes of documents in many formats on time
  • Resolving reconciliations and open items during the month-end close
  • Accounting correctly for complex transactions under GAAP, IFRS and VAT rules
  • Providing complete, traceable records for audits and tax inspections

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 for document processing, account assignment suggestions and reconciliations with clear review steps.
  • Use AI assistants to clarify GAAP, IFRS and VAT questions and verify the answers professionally.
  • Design AI-supported processes that meet bookkeeping compliance requirements and are fully documented.

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 Accounting
  • Invoice checker – A small app that checks uploaded invoices for mandatory details, lists missing information and drafts a query email to the supplier.
  • Open item matcher – An internal tool that matches bank transactions with open items from CSV files, suggests hits by amount and reference and clearly displays remaining differences.
  • Close tracker – A month-end close dashboard with tasks, owners, deadlines and status that highlights delays and generates a status email for management.
Module 7 Data protection, quality & transfer to daily work
  • AI-supported accounting processes must meet bookkeeping requirements such as the German GoBD, in particular traceability, immutability and up-to-date procedural documentation. Invoices and bank data contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement.
  • 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

Invoice data extraction

AI reads incoming invoices in PDF or e-invoicing formats, checks mandatory VAT details, suggests supplier, GL account and cost centre and flags incomplete or unusual documents for review.

Account assignment and guidance

An AI assistant explains transactions such as prepayments, provisions or capitalisation of assets, proposes possible journal entries and points to the relevant rules, which you then verify professionally.

Reconciliation support

Automations compare bank transactions with receivables and payables, match payments to open items and produce a list of unexplained differences with suggested explanations for the month-end close.

Dunning and supplier communication

AI drafts polite, factual payment reminders, queries about missing purchase order numbers or credit note requests and adapts tone and language for domestic and international customers and suppliers.

Close checklists and procedures

From existing notes, AI creates structured closing checklists, work instructions and sections of the procedural documentation required for compliant bookkeeping, which the team reviews and maintains.

Audit request preparation

When auditors or tax inspectors send requests, AI helps structure the questions, map the evidence required and draft clear explanations of postings, estimates and judgements.

Possible hands-on projects

Invoice checker

A small app that checks uploaded invoices for mandatory details, lists missing information and drafts a query email to the supplier.

Open item matcher

An internal tool that matches bank transactions with open items from CSV files, suggests hits by amount and reference and clearly displays remaining differences.

Close tracker

A month-end close dashboard with tasks, owners, deadlines and status that highlights delays and generates a status email for management.

Prerequisites

Confident use of a web browser and standard office software is all you need. No programming knowledge is required. You have a basic knowledge of financial accounting and work regularly with an ERP or accounting system.

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

AI-supported accounting processes must meet bookkeeping requirements such as the German GoBD, in particular traceability, immutability and up-to-date procedural documentation. Invoices and bank data contain personal data, so processing them in AI tools requires a GDPR-compliant data processing agreement.

Suggested dates

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

  • Tue, 24 November 2026 Online Request
  • Mon, 30 November 2026 Augsburg Request
  • Wed, 16 December 2026 Online Request
  • Fri, 15 January 2027 Kaiserslautern Request
  • Thu, 28 January 2027 Online Request
  • Thu, 11 February 2027 Bremen 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.

Are AI-supported postings compliant?

AI provides suggestions, but postings are made in your compliant accounting system after review by staff. What matters are documented review steps, logging and updated procedural documentation. In the course we work out how to embed AI steps cleanly in your process and make them transparent to auditors.

How well does AI handle invoices with different layouts?

Modern models usually process varied layouts and structured e-invoices reliably, but they make mistakes with blurred scans or unusual formats. Plausibility checks such as total reconciliation, VAT rate validation and supplier master data matching are therefore essential. We show how to build these controls into your workflow.

How much does “Lovable for Accounting Teams” 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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