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Use Cases

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.

Energy Provider: Detect Grid Faults Before Customers Call

A regional utility with 300 employees operates the electricity and gas network for 180,000 households. The control room processes 50,000 sensor data points per day — voltages, loads, flow rates, temperature readings. Faults rarely occur without warning: in the hours before an outage, measurements often show subtle patterns that experienced network engineers recognise — but which get lost in the data volume without systematic monitoring.

Insurance Broker: Intelligently Processing Claims

An insurance broker with 60 employees serves 8,000 private and commercial clients. In the event of a claim, 30–50 reports arrive each day — by email, fax, and client portal. Each report must be reviewed, assigned to the correct insurer, checked for completeness, and documented. This tied up three full-time employees — and the process was error-prone.

Schools: AI Supports Teachers with Marking and Lesson Planning

A vocational school with 80 teachers and 2,400 students faces the same problem as many schools: teachers spend a disproportionate share of their working hours on administrative and repetitive tasks — marking, formulating feedback, lesson planning, documentation.

Healthcare: Documentation Without Cloud Risk

Doctors spend an average of 35% of their working time on documentation. In a hospital group with 12 sites and 1,200 physicians, that adds up to a massive efficiency and morale problem.

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.

Construction: Project Coordination Without Information Loss

A mid-sized construction company with 180 employees runs 8–12 building projects simultaneously. Every site generates minutes, defect reports, meeting notes, variation orders, and emails daily. This information must be coordinated, documented, and preserved for billing.

Local Government: Automatic Minutes for Council Meetings

A municipality with 35,000 residents holds 3–5 committee sessions and one full council meeting per month. Each session runs 2–4 hours and must be fully documented — with resolutions, voting results, statements, and agenda items. Producing the minutes previously required a full-time employee and took an additional 3–4 hours after the session ended.

Controlling: Faster Month-End Close with Automated Commentary

A mid-sized corporate group with 8 entities and 450 employees closes its books every month. Previously, this took 8 working days: reconciling entries, consolidating, analysing variances, writing the management commentary, preparing the presentation. The same process, every month.