20 problems every SME knows.
No theoretical concepts — these are the processes slowing your company down every day. And how AI solves them.
Your sales reps only sell 27% of the time. Admin eats the rest.
Problem
Studies show sales reps spend only 27% of their work time actually selling. The rest: CRM maintenance, writing follow-up emails, assembling proposals, typing call notes, pipeline updates. Leads are forgotten, follow-ups sent too late, and the CRM is never up to date.
Lösung
A custom-developed AI sales assistant integrated into your CRM: automatic call documentation, AI-generated follow-ups with a personal touch, lead scoring based on real behavioral data, and automatic pipeline updates. Your sales team sells — the AI handles the rest.
45 minutes per proposal. 20 proposals per week. Do the math.
Problem
A mid-sized company creates 15-30 proposals per week. Each takes 30-45 minutes — assembling line items, calculating prices, writing text, formatting in corporate design. Calculation errors cost margin, slow responses cost the deal.
Lösung
Custom-coded AI proposal generator with direct ERP/inventory connection: pulls prices, availability, and historical calculations automatically, generates professional proposals in corporate design, and learns from successful deals.
1,000 incoming invoices per month. Every single one checked by hand.
Problem
Incoming invoices arrive via email, mail, and portals. Each must be opened, verified, coded, approved, and booked. A full-time position just for invoice intake — and still errors, missed early payment discounts, duplicate payments.
Lösung
AI system with OCR and intelligent document recognition: automatically reads invoices, matches against orders and delivery notes, codes based on learned patterns, and auto-approves routine invoices for payment. Humans only review exceptions.
Every order is manually typed into ERP. In 2026.
Problem
Orders come via email, PDF, fax, webshop, and phone. Each is read by an employee, interpreted, and manually entered into the ERP system. A German manufacturer measured: 96% of incoming orders can be automated. Yet most of the Mittelstand still types by hand.
Lösung
AI agent that monitors all incoming channels: emails, PDFs, and order forms are automatically read, data extracted, validated against the item master, and created in the ERP. When unclear, the AI asks — for clear orders, everything runs automatically.
70% of inquiries are always the same. Your team still answers them manually.
Problem
Where's my delivery? How do I return? Do you have this in size L? Your employees answer the same questions hundreds of times a day. Email takes hours, phone blocks the line. Customers wait, employees are frustrated — and there's no time for real problem cases.
Lösung
An AI customer service agent trained on your data: product catalog, FAQ, delivery status, return policies. Answers standard questions in seconds — via chat, email, or web form. Recognizes complex cases and escalates with full context to your team.
Talent shortage is problem #1 — but 15h/week goes to screening applications.
Problem
For the fifth year running, talent shortage is the biggest concern for SMEs (4 in 10 companies). Meanwhile, your HR department spends 15 hours every week screening applications, writing rejections, coordinating interviews, and sending responses. The best candidates are gone after 10 days.
Lösung
AI recruiting system that automatically analyzes applications, scores them against your criteria, sends personalized responses within hours, and suggests interview slots. Direct API integration into your HR system.
Every Monday lost to copy-pasting numbers into slides.
Problem
Your team spends 6-8 hours every Monday pulling data from five different systems, formatting Excel sheets, and building the same PowerPoint slides. By the time the report reaches the CEO, the numbers are already outdated.
Lösung
A custom-built AI connects directly to your ERP, CRM, and BI systems — automatically generating live reports and dashboards overnight. Every Monday morning, decision-ready insights land in your inbox.
142 emails a day — and the urgent one is buried on page 3.
Problem
Your managers receive 100-150 emails daily. Customer escalations sit unread for hours, supplier deadlines get overlooked, and critical requests drown in newsletter noise. On average, 23% of working time is spent just managing the inbox.
Lösung
A custom-built AI reads, categorizes, and prioritizes every incoming email in real time. It drafts responses for routine inquiries, flags urgent items instantly, and routes messages to the right person.
That auto-renewal you missed just cost you €47,000.
Problem
Contracts live in shared drives, desk drawers, and someone's email archive. Renewal deadlines slip past unnoticed, unfavorable terms auto-extend, and nobody can say with certainty how many active contracts the company even has.
Lösung
A custom-built AI extracts every key clause, deadline, and obligation from your existing contracts — no matter the format. It builds a living contract database, sends proactive alerts weeks before deadlines, and flags risky terms automatically.
You're paying 12-18% more than you should for the same parts.
Problem
Procurement staff manually compare quotes in spreadsheets, often missing volume discounts or better-priced alternatives. With 200+ suppliers and thousands of SKUs, no one has a full picture — and the company bleeds margin quietly.
Lösung
A custom-built AI analyzes your entire purchasing history, cross-references supplier catalogs in real time, and identifies savings opportunities across every category. It flags price increases and suggests consolidation.
Your QA protocol still lives on a clipboard with a pen attached.
Problem
Quality checks are documented on paper forms, manually entered into Excel later — if at all. When a defect surfaces, tracing it back through the production chain takes days. Audit preparation means weeks of digging through binders.
Lösung
A custom-built AI digitizes your entire QA workflow — from inspection checklists on tablets to automatic defect pattern recognition. It links every check to the specific batch, machine, and operator.
New hires sit around for 3 weeks before they're actually useful.
Problem
IT access arrives late, training materials are scattered across departments, and the buddy system depends on who has time. On average, it takes 42 days until a new employee is fully productive — costing roughly €6,500 per hire in lost output.
Lösung
A custom-built AI orchestrates the entire onboarding journey: triggering IT provisioning on day one, delivering role-specific training in sequence, answering FAQs instantly, and tracking progress.
€380,000 in outstanding invoices and nobody's following up.
Problem
Overdue invoices pile up because dunning runs happen monthly at best — and only when accounting remembers. Small amounts slip through entirely, large ones get escalated too late. Average DSO creeps up quarter after quarter.
Lösung
A custom-built AI monitors every open receivable in real time, automatically sends personalized payment reminders at optimal intervals, and escalates intelligently based on customer history and amount.
The system says 500 in stock — the shelf says 23.
Problem
Stock levels in the ERP never match reality. Overstocking ties up €200,000+ in capital while critical parts run out unannounced. Manual stock counts consume entire weekends, and the data is wrong again by Tuesday.
Lösung
A custom-built AI reconciles inventory data across warehouse, ERP, and purchase orders continuously. It predicts demand based on historical patterns and seasonality, triggers reorders at optimal points.
14 running projects, 14 different Excel files, zero overview.
Problem
Project status lives in individual spreadsheets, email threads, and people's heads. The management meeting starts with 30 minutes of 'where do we stand?' — and the answer is always incomplete. Deadlines are missed because dependencies were invisible.
Lösung
A custom-built AI aggregates project data from every source — email, ERP, timesheets, chat — into a single live dashboard. It identifies bottlenecks before they cause delays and generates status reports automatically.
The auditor arrives in 4 weeks and you're not ready — again.
Problem
ISO certifications, GDPR documentation, industry regulations — every audit means weeks of panic. Employees scramble to locate documents, reconstruct processes, and fill gaps. Last time, two non-conformities cost you the certification timeline.
Lösung
A custom-built AI continuously monitors your documentation against regulatory requirements, flags gaps in real time, and auto-generates compliance reports from your existing systems.
Your best supplier raised prices twice — nobody noticed.
Problem
With 150+ active suppliers, nobody has a clear view of who delivers what, at what price, and how reliably. Performance issues go untracked, price creep goes unnoticed, and when a key supplier fails, there's no qualified backup ready.
Lösung
A custom-built AI creates a living supplier intelligence system — tracking delivery performance, price history, and quality metrics automatically. It alerts you to price deviations and suggests alternatives.
9 emails just to schedule a single site visit.
Problem
Coordinating meetings with customers, technicians, or partners takes an average of 7-9 email exchanges. Double bookings happen regularly, time zones cause confusion, and your sales team spends 5+ hours per week on scheduling logistics alone.
Lösung
A custom-built AI handles scheduling end-to-end — checking availability across calendars, proposing optimal slots, sending confirmations, and rescheduling when conflicts arise.
3,400 contacts in your CRM — 40% are duplicates or dead.
Problem
Sales reps enter data inconsistently, imports create duplicates, and nobody cleans up when contacts change roles. The result: unreliable pipeline data, embarrassing double-outreach, and marketing campaigns sent to people who left two years ago.
Lösung
A custom-built AI continuously deduplicates, enriches, and validates your master data — merging records intelligently, filling in missing fields from public sources, and flagging stale contacts automatically.
Your revenue forecast is a spreadsheet someone updates when they remember.
Problem
Quarterly forecasts are built on gut feeling, outdated pipeline data, and overly optimistic sales estimates. Forecast accuracy hovers around 60%, making capacity planning, hiring, and investment decisions a gamble every quarter.
Lösung
A custom-built AI analyzes historical sales data, pipeline velocity, market signals, and seasonal patterns to generate rolling forecasts that update automatically. It flags deals at risk and highlights trends early.
Supporting insights
These articles help explain and prioritize concrete use cases internally.
AI Process Automation for SMEs: 7 Processes You Can Automate Right Now
77% of mid-sized companies consider AI automation business-critical, yet only 22% invest. Discover 7 high-impact processes and how to get started in 4–8 weeks.
Automate Invoice Processing with AI: From 15 Minutes to 30 Seconds per Invoice
E-invoicing becomes mandatory in 2027. Learn how AI-powered invoice processing reduces your effort by 97% and which solution fits your company.
Automate Proposal Creation: How AI Makes Your Quotes 20x Faster and 4x More Precise
Sales teams spend up to 65% of their time on admin instead of selling. Learn how AI-powered proposal generation eliminates this bottleneck and boosts your win rate.
Questions about the use cases
Helpful for teams that want to prioritize individual problem areas and start with a clear business case.
Which processes are best suited for AI automation?
The best candidates are recurring processes with clear inputs, high manual effort, and measurable time or error costs, such as proposals, invoices, emails, or reporting.
Does a company need to implement all 20 use cases at once?
No. The right approach is almost always to start with one prioritized process, generate fast results, and then scale deliberately.
How do you identify the use case with the highest ROI?
The highest ROI usually appears where repetition, operational bottlenecks, data availability, and financial leverage come together. That is exactly what the process check prioritizes.