AutomationWith AI

AI automation for businesses is software that takes over recurring work: building content, compiling reports, updating records, inside the tools you already use. People set the limits and review the results. Start small: one workflow, one pilot, supported by Voltti.

Two ways toAutomate

AI agents are no longer a future promise: by October 2024, Microsoft already counted 100,000 organizations building agents with Copilot Studio, double the number months earlier (CIO). Which tasks you start with determines the return on AI automation. Predictable steps run on a fixed script; work that differs each time needs a flexible agent. Voltti helps you choose what stays fixed and what stays flexible.

01

Fixed scripts

Repeatable steps that should run the same way each time. Their behavior can be tested against clear rules.

02

A flexible agent

Work that changes from one request to the next. Hermes can adjust its approach, gather context, and ask questions.

03

Human review

We define which actions can run automatically and which need approval. Higher-risk steps get explicit review gates.

Google Gemini
Moonshot AI
Hermes Agent
Grok
DeepSeek
Mistral AI
OpenAI

Make theRight choices

01Which process should you automate first?

The best first automation is rarely the most exciting one. It is the task that comes back every week, runs roughly the same way each time, and nobody enjoys. Within a month, such a task produces proof that people and the agent can work together. The shift is broad: in 2025, 19.95 percent of European companies with ten or more employees used at least one AI technology, up from 13.5 percent in 2024, according to Eurostat figures. Which five processes work well as a first pilot is covered in our article on business process automation.

It comes back every week

Frequency drives the return. A task that costs an hour each month adds up to twelve hours a year; a weekly task four times as much. Count the mental load too: tasks that keep waiting demand attention even when nobody touches them.

It has a clear scope

Defined input, defined result. A report built from three known sources is scoped. "Improving our marketing" is not. Start with the report, not the mission.

It needs your own context

The value of an agent lies in knowledge that exists nowhere else: your tone of voice, your customers, your way of working. Steps that never change still run on a fixed script. Which CRM, CMS, and other integrations make sense is explained in a separate article.

A mistake is recoverable

Do not pick a process where one slip immediately costs money or trust. Let the agent produce a draft that a person reviews first. Processing and sending become automatic steps only once the ground rules are established: what runs on its own, what needs approval, and where the log lives.

02Fixed rules or a flexible agent?

Not every step in a process needs the same approach. Predictable, repetitive steps run on a fixed script: testable and verifiable. Work that differs each time needs an agent that thinks along, asks questions, and chooses an approach. In practice, one workflow often uses both. How to spot recurring tasks as automation opportunities is covered in its own article.

03What stays in your hands

The agent does the work; people keep the controls. You decide what may run on its own and which actions need approval. Publishing, invoicing, contacting customers: those steps get human approval before they go live, and all completed work is recorded in a log. More about security, access, and logging is on a dedicated page.

The same applies to data. An integration gets only the permissions the task requires, and systems the process does not need stay out of reach. If a task involves sensitive data, we review beforehand where it lives, who can access it, and which steps run more safely on local hardware. Also read about what stays local in a hybrid AI setup. Curious how the AI agent behind this automation works, or which use cases exist per area? Both pages pick up where this one ends.

04From pilot to a permanent part of your work

A pilot starts small: one process, one source, a few weeks. If the collaboration works, we expand step by step. Each expansion gets the same test phase and the same approval as the first. That way automation grows with what your team can handle, instead of running ahead of trust that has not been built yet. How that path from conversation to support works is described on our approach page.

Voltti guides this step for businesses in Belgium and the Netherlands: together we pick one process, set up a pilot, and roll out once it proves itself.

Our approach

  1. 01

    Map the process

    Together, identify time-consuming steps and decide which need fixed rules or a flexible approach.

  2. 02

    Connections

    Connect only the systems the workflow needs, with limited permissions.

  3. 03

    Test

    Check the automation in a defined test environment against the results you expect.

  4. 04

    Roll out

    After approval, introduce the workflow into daily work and follow up on how it performs.

Questions and answers

01Do I need to redesign the whole process?

No. We review your current process and choose a useful starting point. Often, that is a recurring task with a clear beginning, end, and way to check the result. The rest of the process stays as it is: the agent takes over one step, and you decide afterward whether to extend it. Read which five business processes to start with.

02What if the automation makes a mistake?

For higher-risk actions, Hermes asks for approval: a person signs off on anything that may not run automatically. Script errors surface during the test phase, before rollout to the daily work environment. Everything the agent does is recorded in a log you can review. More about security, access, and logging.

03What does AI automation cost?

That depends on the process, the integrations, and how much guidance you want. Voltti works with a custom quote: the scope of the pilot, the number of connected systems, and the support you want after rollout shape the price. Read what an AI agent costs for a business for a closer look at each factor.

04Which systems can you connect?

A CRM, CMS, project management tool, or document source may be suitable if it provides an accessible API or another supported interface. We check the permissions and practical limits for each integration. Where reading data is enough, the integration gets no write access. Read which CRM and CMS integrations make sense for an AI agent.

05Which processes are a good first fit?

Tasks that recur often, have a clear scope, and where a mistake is recoverable, such as a weekly report from two or three known sources or a first draft of a quote based on a fixed template. This page lists four; the article on five business processes for a first pilot goes deeper into the trade-offs.

06Can Hermes make decisions independently?

Within the limits you set. Routine tasks such as retrieving data or drafting a weekly report run fully on their own, without intervention. Decisions with bigger consequences — sending an invoice, contacting a customer — wait for human approval at the agreed points. Responsibility for the results always stays with people.

07Is AI automation the same as RPA?

Not exactly. Traditional robotic process automation follows predefined steps, often in a fixed interface. An AI agent can use language and context to choose its next action. Both approaches need testing and can be useful in the same workflow. Start with what an AI agent is and how it works.

Read more

Which task do you want to automate?

Discuss your pilot