Use casesIn practice

AI use cases for businesses fall into four categories at Voltti: website and content, internal knowledge, projects and research, and CRM/CMS integrations. In each category an AI agent performs concrete tasks — setting up, summarizing, following up — always with human approval.

Google Gemini
Moonshot AI
Hermes Agent
Grok
DeepSeek
Mistral AI
OpenAI

12 use casesfor your business

More businesses join in every year. In 2025, 34.5 percent of Belgian and 33.2 percent of Dutch enterprises with ten or more employees used AI technologies, compared with an EU average of 20.0 percent (Eurostat). The question is shifting from “should we do something with AI” to “which tasks do we pick up first.” These twelve use cases help you decide.

01Maintaining pages and content

Hermes prepares new pages in the CMS, edits copy in your own tone of voice, and publishes after approval. Monthly SEO maintenance runs on Search Console data. When the agent spots a page with many impressions and few clicks, it suggests a better title and meta description. See how this works in SEO with an AI agent.

02Summarizing and checking documents

Quotes, contracts, and reports summarized, discrepancies flagged, and translations drafted. Hermes can compare a new contract with your standard terms, for example, and put deviating payment terms or notice periods at the top. How the agent turns a request in your inbox into a draft quote is explained in automating quotes with an AI agent.

03Finding answers in your own documents

Answers pulled from notes, emails, and project folders without searching. When a colleague asks what was agreed with a supplier last year, the agent answers with a reference to the source document. What stays on your own infrastructure in a hybrid setup is covered in what stays local in a hybrid AI setup.

04Pulling data and reporting

Weekly reports and marketing numbers fetched from known sources and summarized. On Monday morning, for example, a short overview is ready with traffic, inquiries and notable shifts compared with the previous week. The hands-on approach is described in retrieving marketing data with an AI agent.

05Preparing answers to customer questions

Incoming questions clustered, draft answers written, open items followed up. A question about delivery times, for example, gets a draft answer with the current order status, which a team member reviews and sends. What actually works is covered in an AI agent for customer service.

06Connecting CRM and business software

Data from emails and forms moved into your CRM, follow-ups automated through APIs. A submitted contact form becomes a contact and a follow-up task in your CRM, without anyone retyping it. Which integrations make sense is explained in connecting AI to your CRM, CMS, and project tools.

07Automating recurring tasks

Checks, reminders, and follow-ups that return every week, prepared or executed by the agent. Every Friday, for example, the agent checks which quotes are still open and drafts a reminder email. Learn to spot them with how to spot recurring tasks as automation opportunities.

08Building yourself or getting guidance

Building your own assistant takes time and expertise; guidance keeps the focus on your own work. If you build it yourself, you also handle updates, security and backups yourself. With guidance, Voltti takes care of that part. The trade-off is laid out in building or outsourcing your own AI assistant.

09Getting costs in view

Hardware, installation, and model usage calculated per cost type before you start. Model usage continues every month and depends on how often and how heavily the agent works. Run the numbers with what an AI agent costs for a business.

10Choosing one workflow to start with

Do not start with AI — start with one frustration that returns every week. Think of the weekly report someone puts together by hand every Monday: well defined, repeatable and easy to check. How to pick that task is explained in choosing one workflow to start with.

11Working safely with business data

Minimizing access, logging, and checking as a fixed habit. Give the agent read access to the CRM first and write access later, for example, and record every action in a log. The steps are in the practical safety checklist for AI and business data.

12Automating business processes

Tackling processes with multiple fixed steps from start to finish, such as reports, product copy, document checks, follow-ups and CRM upkeep. A new order then runs from confirmation through invoice preparation to follow-up, with human approval before anything is sent. Which five processes make the best first pilot is covered in AI automation for your business.

Every category above starts the same way: one task, a few weeks. The agent prepares the work, such as a page draft, a summary, or a report. Your team reviews the result and approves it. Only once that split runs smoothly does the agent get more room.

Abstract illustration: one task growing along a path into a pilot structure

From use case to pilot

Integrations grow along the same lines. Software with an API or a readable interface qualifies; for each situation we determine which connection is useful and safe. How that works is explained on the page about AI automation for businesses.

Voltti guides these pilots for businesses in Belgium and the Netherlands. Publishing, sending, and invoicing remain steps a person approves; completed work is always recorded in a log. How such a path runs from first conversation to ongoing support is described on our approach page.

Start withOne task

You do not need to automate everything at once. Start the pilot with one task that comes up every week.

01

Choose one recurring problem

Which clearly defined task takes up time every week? Start there.

02

Let Hermes prepare the work

Hermes can prepare the task for your team to review and approve. Where it makes changes directly, people check the work and correct it when needed.

03

Expand when it works

Use what you learn from the first task to assess the next one. Keep checking that each workflow is useful.

Questions and answers

01Which use cases work best?

Recurring, clearly defined tasks that need context: maintaining content, summarizing documents, preparing projects and following up. A good example is the weekly report: the sources are fixed, the work returns every week and you can quickly see whether it is right. Read how to spot recurring tasks as automation opportunities. No clear picture of what an agent does? See the 7 differences between an AI agent and a chatbot.

02Can Hermes work with our existing software?

An integration may be possible if the software has an API or Hermes can use its interface. We assess whether it is useful and safe for your situation. Think of a CRM with an API, your website CMS or a project tool. The agent often starts with read access and only gets write access once that works well. More about AI automation and integrations with business software.

03Do I need to redesign all my processes?

No. We look at what you already have and choose the most useful next step. The rest can wait. Hermes works with the tools and folders your team already uses. Once the first task runs well, we look together at the next step. See how to choose one workflow to start with.

04Can Hermes handle industry-specific tasks?

Yes, with the right context. The knowledge base and project structure help the agent understand your situation. An installation company might give the agent product information and standard quotes. An accounting firm adds its own checklists. Your team still checks its work. Start with what an AI agent is and how it works. Also read about what stays local in a hybrid AI setup.

Read more

Which task would you like to tackle?

Discuss your pilot