While others test AI tools, you're building an AI workforce.

We build AI infrastructure where assistants work alongside your team and, over time, become independent AI employees.

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Problem01 / 09

AI tools alone won't grow your company.

Every tool works on its own and knows nothing about the others. Connecting them, passing context and checking the result is still a person's job, so the team's capacity never grows.

01Doesn't know your business

It can't see your prices, clients or key information.

02Forgets what you agreed

What you settle in one chat, the next task never sees.

03Doesn't follow your process

It doesn't know the steps and rules you work by.

04Doesn't work on its own

It only runs when you open it and ask.

That's why a tool stays an advisor. AI infrastructure turns it into an employee.

Solution02 / 09

One workspace for your team and your AI.

AI infrastructure is the shared foundation we build once inside your own accounts. Every later solution stands on it, so a new assistant knows your business from day one.

AI infrastructure

Data

Your prices, clients, documents and the principles you work by, in one place.

Memory

The system remembers what was done, agreed and corrected. So it gets better with every task.

Tools

AI employees work with the tools you already use and take action directly in your systems.

Rules

Your processes written out step by step: what gets done, in what order, and where a human signs off.

Where it applies03 / 09

Where AI can help your team.

AI takes over what repeats and follows clear rules: collect, prepare, remind, reply. The decisions stay with people, they simply get more time for them.

Client communication

An unanswered message is a lost opportunity. AI drafts replies informed by every past conversation.

Sales

Salespeople belong in conversations, not admin. AI handles first contact, proposals and follow-ups so your team can sell.

Documents

Documents are mechanical work that eats valuable time. AI prepares them from data you already have.

Project management

Projects slip when small things go unnoticed. AI keeps constant watch and does part of the work itself.

Reporting

Decisions are only as good as the numbers behind them. AI connects your systems and shows you today's picture.

Marketing

Marketing works when it's built on data, not gut feeling. AI builds on what has already worked.

How it grows04 / 09

From AI assistant to AI employee.

01 · AI assistant

Works alongside a human

AI prepares the result, a human reviews and approves it. Corrections feed the process memory.

02 · Verification

The process proves stable

For a few weeks, results are tracked in the log and scored against agreed quality criteria.

03 · AI employee

Works independently

A proven process earns more autonomy. Access, limits and the log stay in place.

How it works05 / 09

What happens between a task and its result.

Before any work starts, the system checks what it knows about your business, what it remembers, which systems it can reach and which rules apply. Only then does an AI assistant or employee take over.

1. Task
Your message

text, voice, photo, document

Schedule

e.g. every morning at 8:00

Event

an email, an inquiry, a payment

2. AI infrastructure
Data

what decisions are based on

Memory

what was agreed and corrected before

Tools

access to the systems where work happens

Rules

how work gets done and where the limits are

3. Work is done by
AI assistant

prepares the work, a human reviews and approves

AI employee

independently runs proven processes

Security and control06 / 09

You decide what AI can and cannot do.

You set the limits, and they apply to every AI solution alike. Each assistant only gets the access its job needs, every action stays in the log, and data handling follows GDPR and the EU AI Act.

Role-based access

An assistant only gets the access its job requires.

Human approval

Sensitive or new actions run only after a human approves them.

Action log

Every action is recorded so it can be reviewed.

Client control

Accounts, access and environment are set up so control stays with you.

Data processing agreements

Responsibilities and data handling are defined in the contract.

Encrypted transport

Data in transit is protected with TLS.

About us07 / 09

Practitioners, not consultants.

Operating since2024building AI solutions for businesses of every size
Right now14 companiesuse our AI infrastructure every day

Akseler was founded by Marius Vincevičius and Enrike Heinsohn. We started out in marketing, where we saw first-hand how companies bleed money through slow, scattered internal processes.

We ran into the same problem ourselves, especially as a small team. So we built a unified AI system first for ourselves and our best clients.

Today, 14 companies run on Akseler solutions. None of them got a generic tool: each has infrastructure built around its own processes, systems and way of working.

We build the infrastructure in your name and your environment. Accounts, data and accumulated knowledge stay with you.

How we start08 / 09

We start with one job that's burning your time.

01 · Intro

Video call

30 minutes on how you work. We'll tell you straight whether AI can help and where to start.

02 · Demo

Demo with your case

We build a demo around your real process and show it live. No strings attached.

03 · Build

Your AI infrastructure

If the demo clicks, we build the foundation in your accounts that every AI solution will run on.

04 · Launch

First AI assistant

Within 14 days AI takes over its first real job. And it works even when you don't.

FAQ09 / 09

Worth knowing before you start.

How is this different from the ChatGPT we already use?

ChatGPT is a model that knows nothing about your business and remembers nothing. We build a layer around it: your prices, rules and history, access to email, calendar and documents, and clear limits on what it may do on its own. Models can be swapped; the knowledge stays yours.

How much does it cost and what does the price depend on?

Price depends on process complexity and the number of integrations, so we only quote after the demo, once we've seen your process. We work in stages: start with one real process, expand only when it proves itself. The call and demo are free and non-binding.

How long does it take and how much of our team's time is needed?

We aim to launch the first clearly defined process within 14 days of getting access and the information we need. From you, it realistically takes one 45-minute call and quick feedback during the trial period. The technical work is on us.

What happens if the system makes a mistake?

Every new process starts with human approval, so mistakes are caught before anything goes out. Autonomy grows only after the process meets the agreed quality bar for an agreed period. Every action is logged, so you can always see what happened and when.

Where is our data kept and who can see it?

We agree the architecture and where data lives before we start, and put it in the contract and the DPA. The system runs in your accounts, we act as a data processor, and you can restrict or revoke access at any time. Sensitive data never leaves the agreed boundaries.

Will we have to change our software?

No. We connect to what you already use: email, calendar, documents, spreadsheets and CRM. Before starting, we check that a system has a proper interface, and if it doesn't, we tell you upfront, not after the contract is signed.

Will this replace our employees?

The goal is different: to take away repetitive routine so your people can focus on clients, decisions and growth. In practice, AI first takes over the jobs nobody wants: data entry, reminders, document prep. How a given role changes becomes clear after the first process.

What happens if we decide to end the partnership?

The infrastructure is built in your name, so accounts, data and knowledge stay with you. We agree a handover: documentation, access and training for your team or another provider. No lock-in.

First step

We'll show you how an AI assistant can handle your hardest process.

Book a call