AI in the trades: which process should businesses start with?
In the trades, AI doesn’t have to start on the building site. The most sensible entry point is often in the office: sorting enquiries, preparing information for quotes, structuring phone notes or reliably capturing recurring customer questions. What matters is not the tool but a specific process that noticeably costs time or attention today.
Short answer
Start with a frequent, clearly defined process around enquiries, communication or documentation. Check beforehand which data flows, where a person has to decide and how you will measure the benefit. For a first pilot, simple recurring tasks are usually better suited than a large all-in-one solution.
The assessment at a glance
Sort enquiries
When phone calls, forms, emails and photos arrive unsorted and call-backs or responsibilities get lost.
Important: Emergencies, prices and binding commitments stay with a responsible person — the technology only prepares.
Prepare quotes
When similar information is put together again and again from messages, notes and templates.
Important: A quote is checked professionally; scope, costing and date are not taken blindly from a draft.
Structure documentation
When photos, readings, notes or handovers are hard to find later.
Important: Access rights, storage location and the handling of customer or property data are clarified before going live.
Don’t start with the tool
A new AI tool doesn’t solve unclear responsibilities or a chaotic process. That’s why a good pilot doesn’t start with a product demo but with a question: where does the business lose time every week even though the task repeats in a similar way?
The joint project “SmartAIwork”, funded by the German Federal Ministry of Education and Research (with Fraunhofer IAO among others), examines exactly these office tasks in small and medium-sized trade businesses and sees noticeable potential for relief there — but also structural hurdles typical of smaller businesses in particular: limited time and IT resources for introducing new tools.
Three first processes that can be tested cleanly
The best first process is small enough to understand within a few weeks but frequent enough for a change to be noticeable in everyday work. It needs a clear trigger, an unambiguous result and a person who decides on exceptions.
- Incoming enquiries: transfer details from a form, email or phone note into a uniform overview and route them to the right person.
- Quote preparation: compile information from a checked template so that the professional part can start sooner — not approved automatically.
- Site and project documentation: file, label and make photos and notes findable for later handover according to a fixed scheme.
How a pilot should be measured
“AI has been introduced” is not a success criterion. Before starting, it should be clear which improvement is expected: fewer lost enquiries, shorter handling time, more complete details or fewer queries. To do this, the current process is recorded once and compared with the pilot after a few weeks.
Alongside time saved, reliability counts. If staff have to rework every second case or customers receive incorrect answers, the process is not yet ready for a wider rollout.
Clarify data and responsibility before the first connection
Customer, quote and property data are not automatically suitable for every external AI tool. Before going live, the accounts used, data flows, access rights and the specific purpose must be clear. With sensitive data, a professional data protection review is needed.
Human responsibility is just as important: AI can pre-sort information or create a draft. Binding statements, dates, prices and professional decisions are still checked and owned by a responsible person in the business.
A start in four weeks instead of a major project
A pilot creates a sound basis for decisions before budget flows into a larger solution. It also shows whether a simple standard automation is enough or whether a custom workflow makes sense.
- Week 1: observe the process, record current time and the most common exceptions.
- Week 2: define one process, success criterion, data rules and responsible people.
- Week 3: test with real but controlled examples and add error routes.
- Week 4: evaluate benefit, rework and risks; only then decide on the next expansion step.
Why a pragmatic start makes sense right now
Digitalisation in the trades varies widely. A Bitkom study from 2025 points out that AI was then in use at only a small share of the trade businesses surveyed and that many businesses lacked an overview of suitable technologies. That is no reason for hasty action, but a good reason to assess your own process objectively.
Whoever starts small and documents the results builds knowledge within their own business. Later this can lead to a better quote process, cleaner customer communication or a more specialised application — but then based on a proven need.
From insight to a concrete decision
We look at your starting point and clarify whether and where an implementation really makes sense.