AI & Consultancy

Yes, as preparation for your planners' work. AI recognises the loading and delivery addresses, dates, goods and references in an email or PDF, and prepares them as a draft order in your TMS. A planner checks and confirms, especially for unusual orders. Start with the customers who send the most orders and expand if it works well. With AI integrations and API integrations it fits into the systems you already have.

More than you think. Think of reading in orders and pre-alerts, status emails to customers, gathering data for invoicing and standard reports per customer. Often it is work where someone moves data from one system to another. With workflow automation and AI agents you take that over, while your team handles the exceptions. Start with the process that takes the most time and measure what it delivers.

It brings together everything a customer service team needs: the mailbox, orders from the ERP and data from the terminals. AI reads along, spots signals such as a missing seal number or an approaching deadline, and lines them up as prioritised tasks. For common questions a draft reply is ready for a staff member to check and send. We developed this concept for BCTN. Read more about AI agents and how they fit into your processes.

Small and concrete. Pick one process that takes a lot of time and is clear-cut, such as status questions or filling in missing details. Map where the information lives and who checks what. Then build a first version in which AI prepares and a person decides. If that works, you expand. With an AI strategy and AI integrations in your existing systems you keep AI from becoming a separate toy next to the real work.

Yes, if you set it up carefully. Think of summarising reports, smarter searching through information or help with administration, with the care professional always checking and deciding. Decide upfront which data may go to a language model, where that data stays and how you explain this to users. If a feature affects diagnosis or treatment, the MDR may apply, and the European AI Act sets requirements too. With AI integrations we build it into your product, with the legal review done by your own specialist.

With agreements before you start with tools. Decide which data may never go into an AI tool, which uses are allowed and who checks the results. Then choose a few small, visible uses, such as drafts for news items or summarising public documents. In an AI workshop teams learn what is and is not possible. With an AI strategy we make a plan that fits within your privacy and information security framework.

It can, if you scope it well. An AI assistant that only answers from your own public information, does not ask for or store personal data and refers to a staff member when in doubt is a responsible first step. Choose a solution that runs within the EU and document how you check the answers. Start with one topic, such as waste collection or parking, and expand if it works. With an AI strategy we decide together where it makes sense and where it does not.

Mainly the sorting work. An AI agent recognises incoming invoices, receipts and questions, gets them ready for the right staff member and drafts a first reply. A staff member always checks before anything goes to a client. Do agree on which data is processed where, in line with the GDPR. That way your team gains time for the advisory work clients really come for.

Use AI for the groundwork and keep the judgement to yourself. Think of summarising interviews, a first outline for a report, organising data or preparing a workshop. Agree which client information can and cannot go into an AI tool. In an AI workshop we practise with your own work, so your team knows afterwards what it will do differently tomorrow.

You can, but with care. The European AI Act classifies AI systems for recruitment and selection as high risk, with extra requirements for transparency and human oversight. So let AI support, for example with summaries or a first sort, and let a person decide. Be open with candidates about how you work and check the details with your lawyer or privacy officer. With an AI agent set up that way, you save time and stay in control.

For frequently asked questions, yes: how can I pay, can I pay in instalments, why is this amount higher than the invoice? An AI assistant answers those questions from your own information, in the evening too, when many people finally have time. With a dispute, a personal situation or signs of debt problems, it hands the conversation to a staff member and points to debt counselling where needed. That way it stays human where it matters.

Start with a task your users currently spend time on, not with the technology. Summarising, classifying, searching documents or drafting a first version of a text are often good candidates. Then we look at your data, the cost per use and the agreements you have with customers on privacy and storage. With AI integrations we build it in small steps, so you measure whether it is actually used before going further.

Yes, but practically. With a small team, AI is often the fastest way to get more done: support questions, first drafts of content, research and help with code. Start with a few concrete tasks and agree what can and cannot go into AI tools, especially when customer data is involved. With a short AI roadmap you know where to start and what it delivers.

Let it answer only from your own, verified knowledge base, without improvising. Decide in advance which questions it handles and when it hands over to a staff member, for example with outages or anything related to access and passwords. Pay attention to where data is processed and what is logged, in line with the GDPR. With a well-configured AI assistant you take pressure off your service desk without sending your customers into a maze.