Service
We build AI-native companies.
An AI-native company is not a company with a chatbot. It is a company whose processes and knowledge are in a state agents can work with. We design the architecture, carry your real processes into it and give the agents exactly as much autonomy as their performance has earned.
The autonomous website, the AI assistant and the video agent were all built exactly this way.
Scope
What we deliver
Process and opportunity map
We go through your processes and find where AI actually helps: what eats time, where value leaks, what to automate first.
Deliverable: a backlog prioritised by impact, not a slide deck.
Knowledge layer
Know-how living in heads and meetings gets rewritten into a structured, versioned form: rules, criteria, tone, processes. In a state agents read and your people edit.
Deliverable: a knowledge base you own.
Agentic architecture
MCP connectors to your tools, shared memory, agent orchestration and integrations. You are not buying a new platform; the AI comes to your systems.
Deliverable: a running system with documentation.
Guardrails and autonomy level
Every agent has clear boundaries: what it may do alone, what ends as a proposal, what waits for approval. We tune the autonomy level by deployment and proven performance.
Deliverable: autonomy rules that can be re-tuned at any time.
Operations and evaluation
Costs to the cent, an experiments log including the failures, monthly reports and evals. A system that is measured can be improved.
Deliverable: a monthly report that shows the impact.
The principle
Autonomy is earned by performance
An agent does not start with full trust here. It starts with proposals, takes over the routine once proven, and its independence grows with results. This is exactly how the agent that runs client websites worked its way up from having every change approved to publishing content on its own.
Proposes
Every output is a reasoned proposal. A person decides.
Acts with review
It handles the routine itself; changes pass review and can be rolled back.
Acts alone
Proven activities run autonomously. A person watches results and boundaries.
The proof
Our products came out of this service
Each of our products is this service applied to one process: the website, the back office, the first customer contact. Same architecture, same guardrails, different domain.
Questions
What others ask
A company whose processes and knowledge are in a state AI agents can work with: know-how is structured and versioned, tools have connectors, and the autonomy rules are explicit. It is not a company that bought a chatbot. It is a company where AI can take over whole processes, with human oversight where it matters.
Yes; that is exactly why it starts with the process map and the knowledge layer. We work with what you have: documents, emails, people's heads. Most companies do not have AI-ready data; that is not an obstacle, it is the first step of the work.
It is not a year-long big-bang project. It goes in steps: the first useful system within weeks, further processes added as things prove themselves. The exact plan is the output of the initial process map.
Each phase is a project with a price agreed up front; operations is a monthly subscription. The scope grows step by step, so you pay for proven increments, not one big project. You will get a quote with an exact number within two business days.
Everything. The code, the documentation, the knowledge base and the autonomy rules. Your company's knowledge does not live in a vendor's prompts; it is your versioned asset that anyone else can work with too.
The products are this service applied to a specific process. If your need fits a product, you buy it ready-made and get value right away. If it does not, we build the same thing on your process. The architecture and the guardrails are the same either way.
Let's look at where you are.
Forty minutes looking at how things stand. It tells us how far we can take you towards being an AI-native company, and what that will cost you at the end of the day.
- Where AI makes sense in your processes, and where it does not
- An estimate of scope, time and cost
- A first step you can start on right away
- No presentation, no commitment
Jaro Rais
AI consultant and developer
Reach out:
jaro.rais@itashu.coGet in touch and we will come back to you within one working day.
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