Client communication
An unanswered message is a lost opportunity. AI drafts replies informed by every past conversation.
Knowledge
Your business knowledge and know-how in one place: services, prices, documents and the principles you work by.
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
Standalone AI tools don't grow your company.
A tool answers and forgets. It can't take over real work: it doesn't know your business, remembers nothing, and can't touch your systems.
01Doesn't know your business
It can't see your prices, clients or key information.
02Has no memory
You have to re-explain the context every single time.
03Doesn't follow your process
It doesn't know the steps, rules and decisions you work by.
04Doesn't work on its own
It only runs while you're using it. By itself, it does nothing.
That's why a tool stays an advisor. AI infrastructure turns it into an employee.
Solution02 / 09
AI infrastructure for you and your AI workforce.
AI infrastructure is a shared workspace for your whole company. Assistants work on it alongside people, and proven AI employees carry out defined tasks within set limits.
AI infrastructure
Memory
The system remembers what was done, agreed and corrected. So it gets better with every task.
Integrations
AI employees work with the tools you already use and take action directly in your systems.
Rules and processes
Clear definitions of what gets done, in what order, what AI does on its own, and where a human signs off.
Where it applies03 / 09
Where AI can strengthen your team.
The most common examples. We tailor each AI role to your company's actual processes.
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
Knowledge
what decisions are based on
Memory
what was agreed and corrected before
Integrations
access to the systems where work happens
Rules and processes
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.
The system is built in your name, so everything in it belongs to you. Data handling complies with GDPR and the EU AI Act, and every AI action is logged and traceable.
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
We started out in marketing. That's 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, then for 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