Practice

How AI becomes real work.

Customer stories show what already works. The use-case map helps teams choose where to start. Practical guides support selection, rollout and operation.

Customer stories

What other companies have achieved.

Real people talk about rollout, everyday use and measurable results.

LAUDA
„Thanks to meinGPT, introducing artificial intelligence in our company went smoothly.“

Dr. Mario Englert · CFO @ LAUDA

€2.31M
saved per year
86 %
daily AI usage
150+
productive AI use cases
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Read the customer story
Use cases

What employees get done with AI.

The map is based on 4,253 anonymised chats from a 30-day rollout with 170 users. It shows concrete tasks and their share of real usage.

Explore all use cases in the map
Writing & Correspondence1,166 observed chats · 443 tasks27%Business Intelligence651 observed chats · 458 tasks15%General Knowledge468 observed chats · 269 tasks11%Technical Engineering398 observed chats · 271 tasks9%IT Support327 observed chats · 228 tasks8%Legal & Compliance255 observed chats · 200 tasks6%
Selected use cases

Good starting points for everyday work.

Six examples show how a concrete task becomes a repeatable, controlled workflow.

Accounting & financePre-capture receipts and invoices, extract data and prepare reporting with AI — under strict human reviewHow accounting and finance teams use AI GDPR-compliantly: pre-capture receipts and invoices, extract data, prepare reporting — with real workflows, an example prompt, strict review limits and selection criteria.Customer service / supportAnswer enquiries, search the knowledge base and summarise tickets with AIHow customer service teams use AI GDPR-compliantly: answer enquiries faster, search the knowledge base, summarise tickets and reply consistently — with real workflows, an example prompt, honest limits and selection criteria.Manufacturing / industryIntroduce AI assistants for inside sales, quality assurance, order processes and technical knowledge managementIn many manufacturing companies, AI use is already happening outside central control — through private ChatGPT accounts, with sensitive design, quotation and order data. meinGPT brings that AI use under control: GDPR-compliantly in the EU, several leading models behind one interface, connected to ERP/PLM/QA — with real assistants for inside sales, quality assurance and order processes. As at world market leader LAUDA, where by its own account around 430 of 600 employees use meinGPT, over 370 of them daily.Processes & automationAutomate recurring business processes with AIAI workflow automation explained: what it is, the three load-bearing patterns (trigger → AI step → approval → action, RAG over your own data, multi-step orchestration), concrete flows in sales, support, HR and finance — with an open example prompt, governance for automated steps (human in the loop, least privilege, audit) and a readiness checklist.SalesSpeed up quotes, lead research, qualification and CRM upkeep with AIHow sales teams use AI GDPR-compliantly: write quotes faster, research and qualify leads, automate CRM upkeep — with real workflows, an example prompt, honest limits and selection criteria.Sales, project management & accountingClose the gap between meeting, project tool, CRM and accounting with one AI assistantHow one meinGPT assistant handles the flow from customer conversation to invoice across several tools: read meeting notes, create tasks, draft the quote, prepare the invoice — GDPR-compliantly, with human approval.
Knowledge

What companies need for implementation.

Guides with selection criteria, benchmarks and concrete plans for the next steps.

7 Min. · 11 pages

Choosing the right AI platform

Six objective, verifiable criteria decide whether a rollout turns into real adoption – plus a 30-minute test for your own evaluation.

View the guide
Knowledge
The average lies – the AI cost benchmark9 Min. · 14 pagesAI for professionals bound by secrecy – the § 203 selection criteria9 Min. · 13 pagesRolling out AI in your company – The 90-day plan10 Min. · 15 pages
Practice library

All content in one place.

Browse customer stories, use cases, articles and guides by content type and topic.

Content type

89 items

ToolInteractive toolAI Cost CalculatorShows your real AI cost beyond the license: consumption, activation and the full-cost range.Costs & selectionUse caseManufacturing / industryAI for industry and manufacturing: GDPR-compliant and under control — for sales, QA and order processesIn many manufacturing companies, AI use is already happening outside central control — through private ChatGPT accounts, with sensitive design, quotation and order data. meinGPT brings that AI use under control: GDPR-compliantly in the EU, several leading models behind one interface, connected to ERP/PLM/QA — with real assistants for inside sales, quality assurance and order processes. As at world market leader LAUDA, where by its own account around 430 of 600 employees use meinGPT, over 370 of them daily.IndustriesUse caseAccounting & financeAI in accounting & finance: receipts, invoices, reportingHow accounting and finance teams use AI GDPR-compliantly: pre-capture receipts and invoices, extract data, prepare reporting — with real workflows, an example prompt, strict review limits and selection criteria.Everyday workUse caseCustomer service / supportAI in customer service: enquiries, knowledge base, ticketsHow customer service teams use AI GDPR-compliantly: answer enquiries faster, search the knowledge base, summarise tickets and reply consistently — with real workflows, an example prompt, honest limits and selection criteria.Everyday workUse caseSalesAI in sales: speed up quotes, leads & CRM upkeepHow sales teams use AI GDPR-compliantly: write quotes faster, research and qualify leads, automate CRM upkeep — with real workflows, an example prompt, honest limits and selection criteria.Everyday workUse caseProcesses & automationAI workflow automation: automating business processes with AIAI workflow automation explained: what it is, the three load-bearing patterns (trigger → AI step → approval → action, RAG over your own data, multi-step orchestration), concrete flows in sales, support, HR and finance — with an open example prompt, governance for automated steps (human in the loop, least privilege, audit) and a readiness checklist.AutomationGuide7 Min. · 11 pagesChoosing the right AI platformSix objective, verifiable criteria decide whether a rollout turns into real adoption – plus a 30-minute test for your own evaluation.Costs & selectionUse caseSales, project management & accountingFrom meeting to invoice: orchestrating the whole flow with AIHow one meinGPT assistant handles the flow from customer conversation to invoice across several tools: read meeting notes, create tasks, draft the quote, prepare the invoice — GDPR-compliantly, with human approval.AutomationCustomer storyMechanical & plant engineeringLAUDAWith LAUDA.GPT, the global leader in precise temperature control rolled out GenAI company-wide — 86 % daily usage and €2.31M saved per year.Customer resultsTalkHannover Messe 2026 · 2026-04-20Masterclass: AI in practice — Hannover Messe 2026How industrial and Mittelstand companies put AI to work — from first use-cases to a company-wide rollout, with examples from real meinGPT projects.Rollout & adoptionCustomer storyRetail & telecommunicationsmobilezone AGA WhatsApp-integrated AI chatbot took the load off customer service live for the iPhone 16 launch and answers 500+ enquiries a month automatically.Customer resultsToolInteractive toolRollout PlannerPlan your AI rollout phase by phase with the right steps at the right time.Rollout & adoptionPractice chapterPractice chapterRollout PlaybookThe proven roadmap to roll AI out across the whole organisation.Rollout & adoptionPractice chapterPractice chapterWhat we learned from AI adoption workA framework drawn from AI adoption work — from pilot to a company-wide AI platform.Platform & modelsToolInteractive tool§ 203 vendor checkSeven criteria to check whether an AI vendor may work with client and patient data.Data protection & sovereigntyTemplatePrompt5-Why Root Cause AnalysisTakes you from a problem through five why-questions to the actual cause.AutomationArticleAI in business · 10 minAI as an accelerator for digitalisation: why waiting until you are "ready" costs youHow AI accelerates your digitalisation — even when your company seems "not ready yet". Practical examples, a cost-benefit comparison and an implementation path.Rollout & adoptionUse caseWhole companyAI assistant for companies: definition, use cases & how to chooseWhat an AI assistant is — clearly distinguished from a chatbot and an AI agent — which tasks it takes on per department, what a company assistant needs (own knowledge/RAG, roles & permissions, GDPR, EU operation) and how to create and choose your own AI assistant without programming. With an example prompt, a selection checklist, honest limits and an FAQ.AutomationArticleAI in business · 9 minAI cost per employee: what AI in the enterprise really costsAI cost per employee: median €3.55/month, currently ~€6.50 since the premium models — and the top 10 % drive 78 % of the cost. Why usage is the smallest line in your TCO.Rollout & adoptionUse caseWhole companyAI for companies: choosing a platform, rolling it out GDPR-compliantly & measuring real useAI for companies in Germany: what makes an AI platform, objective selection criteria (GDPR, integrations, roles & permissions, cost, enablement), a four-step rollout model and answers to the most common questions — with real workflows, an example prompt and honest limits.Rollout & adoptionUse caseLaw firm / legal adviceAI for law firms & legal advice: § 203 StGB, pleadings, researchHow law firms use AI while preserving legal professional privilege (§ 203 StGB): drafting pleadings, legal research with sources, contract and document review, client communication — with real workflows, an example prompt, strict review limits and selection criteria for professionals bound by secrecy.IndustriesUse caseHealthcare / practices & clinicsAI for medical practices & clinics: § 203 StGB, patient data, Art. 9 GDPRHow medical and dental practices, psychotherapists and clinics use AI while preserving medical confidentiality (§ 203 StGB) and handling health data (Art. 9 GDPR): drafting doctor's letters, patient communication, medical research with sources, practice knowledge management — with real workflows, an example prompt and strict review limits.IndustriesGuide9 Min. · 13 pagesAI for professionals bound by secrecy – the § 203 selection criteriaHow lawyers, tax advisors, doctors and notaries may use external AI without breaching their duty of secrecy under § 203 StGB – seven objective, verifiable criteria plus a 30-minute provider test.Data protection & sovereigntyUse caseProfessionals bound by secrecyAI for professionals bound by secrecy: § 203 StGB & confidentiality, done properlyHow lawyers, tax advisers, auditors, doctors, notaries and psychotherapists use AI despite their duty of confidentiality: the 'contributing person under § 203 StGB' construction, EU hosting, a DPA, no training on input — with real workflows, an example prompt, clear limits and selection criteria.IndustriesUse caseTax advice / tax firmAI for tax advisers & tax firms: § 203 StGB, receipts, clientsHow tax firms use AI while preserving their duty of confidentiality (§ 203 StGB): pre-capture receipts, draft client communication, research tax law with sources — with real workflows, an example prompt, strict review limits and selection criteria for professionals bound by secrecy.IndustriesUse caseHuman resources / HRAI in HR: recruiting, job ads, onboardingHow HR teams use AI GDPR-compliantly: write job ads, structure application documents, produce onboarding material and internal communication — with real workflows, an example prompt, honest limits and selection criteria.Everyday workUse caseMarketing & communicationsAI in marketing: content, campaigns, SEO & imagesHow marketing teams use AI GDPR-compliantly: produce content and campaigns, write SEO copy, generate images and keep the brand voice — with real workflows, an example prompt, honest limits and selection criteria.Everyday workToolInteractive toolAI Maturity Check6 questions, 2 minutes: see where you stand in your AI rollout and what your biggest lever is.Rollout & adoptionToolInteractive toolAI ROI CalculatorCalculate how much time and money AI frees up in your company per employee and year.Costs & selectionUse caseWhole companyAI tools for companies: categories, selection criteria & a selection guideAI tools for companies at a glance: the six categories (text/chat, knowledge/RAG, automation, image/audio, coding, industry tools), objective selection criteria (GDPR/hosting, data control, integrations, roles & permissions, cost, enablement), an evaluation checklist, the trade-off between individual tools and a platform, and a governance model — with answers to the most common questions.Platform & modelsTemplateWorkflowAutomated Test Protocol AnalysisA scanned test protocol goes in, a structured analysis against the target values comes out — including supervisor notification.AutomationPractice chapterPractice chapterAutomationTurning recurring work into workflows — where automation truly pays off.AutomationCustomer storyLaboratory technology & industryBrand GroupLaboratory equipment maker Brand Group (liquid handling, vacuum technology) introduced meinGPT and saves around 50 minutes per customer case — including a self-built AI tool for pump selection.Customer resultsTemplateSkillBranded DOCX GeneratorExtends an assistant so it produces documents directly in your corporate layout (CI, logo, templates).Everyday workCustomer storySteel trading & industryBuhlmann GroupThe Buhlmann Group (steel trading) and the Lisega Group (pipe supports) use meinGPT to make both groups more competitive — for image generation, the Academy and fast response times.Customer resultsArticleChatGPT & models · 12 minBuild your own ChatGPT: the realistic routes for a company (2026)How a company gets its own private, GDPR-compliant ChatGPT — with its own assistants, its own data and roles, without building a language model from scratch. The three realistic routes, their cost and limits, a build checklist and three concrete examples.Platform & modelsTemplateSkillCalendar SchedulerProposes suitable slots and books them once confirmed.Everyday workPractice chapterPractice chapterChange ManagementBringing people along: adoption, champions and handling resistance.Rollout & adoptionTemplateSkillChart RendererTurns data output into finished charts instead of raw tables.AutomationArticleAI in business · 11 minChatGPT business account: what it is & how to set one up (2026)What a ChatGPT business account is, how it differs from private accounts (shadow AI), how to set it up GDPR-compliantly and roll it out — with account models, a four-step introduction, an example prompt and a setup checklist.Rollout & adoptionArticleChatGPT & models · 12 minChatGPT Enterprise licence: cost, licence models & how to choose (2026)What a ChatGPT Enterprise licence is, how the tiers (Free, Plus, Team, Enterprise) differ, where enterprise AI cost really comes from, and which GDPR-compliant European option publishes transparent prices — with cost drivers, a procurement checklist and an example prompt.Platform & modelsArticleIntegrations & tech · 12 minChatGPT via Microsoft & Azure OpenAI in the enterprise: the guide (2026)"Microsoft ChatGPT" is not a single product: ChatGPT technology reaches companies through Microsoft 365 Copilot, the Azure OpenAI Service, or directly from OpenAI. This guide explains the three routes, what they mean for GDPR, data residency and governance, and where a GDPR-native European platform fits.AutomationTemplatePromptCode ReviewA structured review focused on bugs and readability.Platform & modelsTemplateWorkflowCompetitive BriefA fast, well-founded competitive overview with positioning and SWOT.AutomationArticleIntegrations & tech · 13 minConnecting AI & ChatGPT to ERP systems: patterns, GDPR & workflows (2026)How companies connect AI or ChatGPT to their ERP system (SAP, Dynamics & co.): the realistic integration patterns (read-only API, RAG over ERP exports, custom tool/MCP with human-in-the-loop), GDPR and permissions for sensitive ERP data, three concrete workflows with an example prompt, and a readiness check.AutomationUse caseAll departmentsCreating AI agents: build your own agents without codeWhat an AI agent is (and how it differs from an assistant and a chatbot) and how companies build their own AI agents without programming: goal, instruction, knowledge (RAG), tools & actions, guardrails and approval — with a build guide, an example, governance, a checklist and GDPR.AutomationTemplateSkillCRM SyncWrites conversation summaries and next steps straight back into the CRM.AutomationPractice chapterPractice chapterEnablement & TrainingEnabling teams: learning paths, formats and how knowledge really sticks.Rollout & adoptionTemplateSkillERP Invoice ValidatorChecks fields extracted from invoices against your business rules before they reach the ERP.Data protection & sovereigntyUse caseManagement, data protection & ITEuropean AI for companies: sovereign, GDPR-compliant AI from Europe — criteria & contextWhat European and sovereign AI really means for companies: EU hosting, a European legal entity, GDPR, no third-country transfer, no training on your input and independence from a single US vendor — with a citable definition, objective criteria, a checklist, an example prompt, honest limits and sources.Data protection & sovereigntyTemplatePromptExplain & Write SQL QueriesDescribe the goal, get the matching SQL query plus an explanation.AutomationTemplatePromptExplain a Contract ClauseA legal clause in plain words, plus a note on the risk.Data protection & sovereigntyUse caseData protection & complianceGDPR-compliant AI: what it means, criteria to check & a lawful rolloutGDPR-compliant AI in companies: the citable definition, the legal basis in plain language (processing agreement/DPA, purpose limitation, no training on your input, EU operation, data-subject rights), an objective checklist, roles & permissions with audit logging, a risk matrix by data category and a governance model for the rollout — with answers to the most common questions.Data protection & sovereigntyUse caseData protection & complianceGDPR-compliant chatbot: what it takes, safe use & a review checklistA GDPR-compliant AI chatbot in your company: what makes a chatbot compliant (data flow, where prompts go, logging, PII handling), safe vs. unsafe use with concrete examples, deployment options, an assessment checklist and answers to the most common questions — competitor-neutral and criteria-led.Data protection & sovereigntyPractice chapterPractice chapterGovernance & SecurityGDPR, data protection and guardrails that keep enterprise AI safe.Data protection & sovereigntyCustomer storyPrecision components (metal & plastics)Heitkamp & Thumann GroupThe global Heitkamp & Thumann Group (~1,800 employees) gave its teams a secure AI environment with meinGPT — one in which even less technically inclined users quickly find value.Customer resultsPractice chapterPractice chapterHow we build with coding agents ourselvesOur real coding setup: the loop, the numbers — and the honest limits.Platform & modelsTemplatePromptJob AdFrom the key facts to an appealing, clear job ad.Everyday workCustomer storyMechanical engineering & electronics manufacturingKurtz ErsaInternational engineering and technology group Kurtz Ersa replaced a "zoo" of individual AI tools with meinGPT as its central platform — rolled out in two waves to 200 users.Customer resultsTemplateWorkflowLinkedIn Post GeneratorFrom a topic and an audience to a finished LinkedIn post with hook, body, CTA and hashtags — in three matched variants.Everyday workCustomer storyManufacturing SMELudo FactEurope's leading games manufacturer rolled meinGPT out across 8 departments — with continuous training and on-site guidance for high acceptance.Customer resultsArticleAI in business · 15 minManaging AI risks: hallucinations & bias under control [2026 guide]A practical guide to AI risks: how companies detect, understand and manage hallucinations and bias in AI systems. GDPR-compliant and grounded in practice.Rollout & adoptionPractice chapterPractice chapterMeasuring ImpactROI, adoption and the metrics that show whether AI is moving the needle.Customer resultsTemplateWorkflowMeeting → To-dosFrom a transcript or notes to a summary with clear to-dos and a follow-up email.Everyday workTemplatePromptMeeting SummaryFrom raw notes to a structured summary with clear to-dos.Everyday workTemplateWorkflowMonthly Report BuilderRaw data in, a commented monthly report with KPIs and anomalies out.AutomationTemplateWorkflowOnboarding Plan GeneratorFrom a role and a team to a 30/60/90-day onboarding plan including a checklist and a welcome email.Everyday workTemplateSkillPII RedactorDetects and redacts personal data before anything is processed further.Data protection & sovereigntyToolInteractive toolPlatform selection checkWork through the six dimensions a demo cannot show and that decide adoption.Costs & selectionTemplatePromptProduct DescriptionA compelling product description for one audience.Everyday workTemplatePromptProfessional Customer EmailTurns bullet points into a clear, friendly customer email in the right tone.Everyday workArticlePrompts & practice · 12 minPrompting in a multilingual company: techniques, templates & the language question (2026)The practical prompting guide for teams that work across languages: what makes a good prompt, the six core techniques with examples, ready copy-and-paste templates for sales, HR, marketing, support and analysis, the most common mistakes — and what changes once real company data enters the prompt.Everyday workPractice chapterPractice chapterPrompting PatternsThe patterns that work in practice — from zero-shot to complex workflows.Everyday workTemplateWorkflowQuote ComparisonTwo or three quotes in, a weighted comparison matrix with TCO and a clear recommendation out.AutomationTemplateWorkflowRelease Notes GeneratorFrom commits and tickets to grouped, readable release notes for customers and the team.Platform & modelsGuide10 Min. · 15 pagesRolling out AI in your company – The 90-day planFrom pilot group to company-wide use: the structured plan that connects technology and enablement – with measurable milestones.Rollout & adoptionCustomer storyInvestment holdingRSBG SEA diverse mid-market holding with 80+ portfolio companies was prepared for the AI transformation through tailored workshops and use-case identification.Customer resultsCustomer storyExhibition & shop fittingSchnaitt Internationale Messe- und Ladenbau GmbHAn in-house AI chatbot for exhibition-build costing — from kickoff to a productive MVP in just 13 days, with a maximum price deviation of 10–15 %.Customer resultsUse caseManagement, transformation & ITSetting up an AI programme: from strategy to rolloutHow companies set up a structured AI programme: strategy, governance, use-case selection, rollout and enablement — with a phase plan, an example prompt, honest limits and sources. So pilots turn into measurable use.Rollout & adoptionTemplateSkillSupply Chain LookupEnriches answers with live supply-chain data — parts, stock, dates.AutomationTemplateWorkflowSupport Ticket TriageAn incoming ticket gets categorised, prioritised and paired with a draft reply.Everyday workTemplateWorkflowTender ResponseFrom a tender plus your profile to a structured, compliance-checked draft response.AutomationPractice chapterPractice chapterThe agentic companyWhat an agent really is, why it started with code — and what happens when the principle reaches the whole company.Platform & modelsGuide9 Min. · 14 pagesThe average lies – the AI cost benchmarkWhy AI costs must be planned by distribution and adoption, not by the average: a ~€6.50 median compute spend per active user/month, 78 % of cost driven by the top 10 % – from 10,000+ users over 12 months. Plus the steerability playbook.Costs & selectionTemplateWorkflowTranslation BatchSeveral documents into several target languages — faithful to your terminology, with a short quality check.Everyday workArticleChatGPT & models · 12 minUsing ChatGPT effectively: prompting fundamentals & AI adoption in teams (2026)Using ChatGPT effectively in a company — not as an individual trick but as a team: the prompting fundamentals (role, context, format, iteration) with real before/after examples, why AI rollouts fail on adoption, and how enablement and an academy solve it.Platform & modelsTemplateSkillWeb ResearchTargeted live web research with traceable source references.AutomationUse caseFundamentalsWhat is an AI platform? Definition, building blocks & distinctions for companiesAI platforms explained simply: a robust definition, the six building blocks (models, assistants & RAG, integrations, roles & governance, GDPR/hosting, enablement), the clear distinction from a chatbot, an individual tool and building your own, plus answers to the most common questions — the glossary anchor around 'artificial intelligence platform'.Platform & modelsArticleChatGPT & models · 11 minWhat is ChatGPT? Explanation, examples & what companies must consider (2026)What ChatGPT is, simply explained: a clear definition, how it works, and concrete practical examples (text, analysis, support, code) with a real prompt. Plus what changes once a company uses it — data protection, GDPR and governance.Platform & models
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