John Doe

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Corporate Bank: Credit Applications Reviewed in a Fraction of the Time

A mid-sized commercial bank focused on corporate clients processes 180 loan applications per month in the €500,000–€10M range. Each application arrives with a document stack: financial statements, management accounts, business plan, collateral register, commercial registry extract, tax assessments. A credit analyst spent an average of 6.5 hours assembling the risk picture and writing the credit proposal.

Compliance: Instantly Check the Impact of New Regulations

A financial services provider with 200 employees operates in a permanently changing regulatory environment: supervisory authority circulars, EU regulations, updated risk management requirements, ESG reporting obligations, DORA requirements. Every change must be checked for impact: which products, processes, contracts, or IT systems are affected? What must be adjusted by when?

Sales: Better Prepared for Customer Meetings Than Ever Before

A mechanical engineering company with 40 field representatives sells complex industrial systems to manufacturing clients. Before every client meeting, sales reps need to know their client: last orders, open proposals, complaint history, current projects, industry news, competitive situation. Preparation previously took 45–60 minutes — or was skipped, leading to generic conversations.

Tax Advisory: Document Processing Without Extra Staff

A tax advisory firm with 12 employees processes around 800 receipts per client per month — incoming invoices, till receipts, credit card statements. Manual entry consumed two full-time staff and was error-prone. Off-the-shelf automation tools were ruled out: German law (§203 StGB) prohibits tax advisors from passing client data to externally controlled cloud services.

SME: Understand and Modernise Legacy Applications

A manufacturing company with 350 employees relies on a bespoke ERP solution built in 2003 — 180,000 lines of COBOL and VBA, no documentation, the original developer gone for 12 years. The system runs, but nobody fully understands it. Every change is risky. A replacement project had been abandoned three times because nobody could define what the legacy system actually does.

HR: An Onboarding Copilot for New Employees

A manufacturing company with 500 employees hires around 80 new colleagues each year. Onboarding to full productivity took an average of 14 weeks — and tied up managers who answered the same questions every day: Where do I find the expense form? How does the ERP work? Who do I contact for IT issues?

Why Sovereign AI Is Not a Luxury

When you optimise business processes with AI, you simultaneously hand your most sensitive corporate data to third parties. Contracts, customer data, internal analyses — everything ends up on servers you don’t control.

Manufacturing: Predict Machine Failures Before They Happen

A manufacturing company with 25 production lines and 180 employees struggles with unplanned downtime: on average, 12 unplanned failures per year, with an average downtime of 4.2 hours and costs of €8,500 per hour. That translates to direct downtime costs exceeding €400,000 annually, before accounting for knock-on effects from delayed deliveries and scrap.

E-Commerce: Product Data in Minutes Instead of Days

An industrial supplies online retailer with 50,000 active SKUs faces a structural product data problem: suppliers deliver datasheets in different formats — PDFs, spreadsheets, Word documents. Product copy is technically correct but unsuitable for search engines or purchasing managers. Translations are missing. Attributes are incomplete or inconsistently filled.

Specialist Publisher: Making 50 Years of Expertise Searchable

A legal specialist publisher with 80 employees has published commentaries, journals, handbooks, and databases for lawyers, judges, and jurists for 50 years. The digital archive contains over 400,000 documents. The publisher operates its own legal database with 30,000 subscribers.

Legal: Contract Review with Local AI

A mid-size law firm with 80 employees reviews dozens of contracts daily for risk clauses, ambiguous language and missing standard provisions. Previously: manual, time-consuming, error-prone.

HR Department: Instant Answers to Internal Questions

The HR department of a company with 1,000 employees receives 80–120 internal enquiries per day via email and phone: holiday entitlements, overtime rules, parental leave applications, payslip questions, travel expense policies, training budgets, occupational pension schemes. 65% of these questions are in principle answerable from the internal policy landscape.

Trades Business: AI Answers Customer Inquiries Around the Clock

A plumbing and heating company with 40 employees and 3,000 existing customers receives 60–80 calls and emails per day — appointment requests, status queries on active jobs, fault reports, price inquiries. The three dispatchers were permanently overloaded. Outside business hours, requests sat unanswered until the next morning.

GDPR and AI: What Companies Must Consider Now

With the EU AI Act, Europe enters a new phase of AI regulation. Companies using AI systems must now address transparency obligations, risk assessments and data protection requirements.

Real Estate: Due Diligence in Days Instead of Weeks

A real estate fund with 50 employees reviews around 120 potential properties each year — office buildings, logistics facilities, residential portfolios. For every serious review (due diligence), data rooms are provided containing 500–2,000 documents: lease agreements, land registry extracts, technical surveys, building permits, insurance policies, service charge statements.

Municipal Utility: AI Assistant for Tariff Questions and Meter Readings

A municipal utility with 120 employees supplies 95,000 households with electricity, gas, and district heating. The customer centre receives around 4,500 calls and 2,000 emails per month. Of these, 58% are standard enquiries: submit meter reading, adjust instalment payment, switch tariff, explain bill, report fault, notify of house move.

Hospital: AI Knowledge Base for Nursing Staff

A general hospital with 800 beds and 1,400 employees faces a structural problem: medical knowledge is scattered across guidelines, internal standards, ward handbooks, and training materials — and barely accessible to nursing staff in everyday practice. When a night shift nurse has a question about the dosage of a rarely used medication, they call the on-call physician. This ties up medical resources for questions that could simply be looked up.

Research Institute: Navigating the Literature Jungle with AI

An independent research institute with 120 scientists in materials science and chemistry publishes around 180 journal articles per year. Every article requires a systematic literature overview: what is known? What is contested? What is missing?

Public Sector: AI-Assisted Citizen Services

A district administration serving 200,000 residents receives several hundred email enquiries daily — from building permit applications to social welfare questions and driving licence matters. Manual initial sorting by case workers consumed significant capacity.