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Take the manual work
off your team's plate.

We build AI assistants and automated workflows that handle the repetitive tasks — tickets, lead replies, data entry, approvals — so your people spend their time on work that actually brings in money.

Bring one repetitive process. We decide whether it is stable enough to automate before building anything.

How to get started

Start with one painful workflow, then prove it before scale.

Best for
Teams losing time to lead replies, data entry, document checks, routing, or approvals.
First step
Choose one workflow and describe how work passes between people, who is responsible, and how to handle unusual cases.
You get
A reliable n8n or Make workflow, AI where useful, logging, alerts, and a handover guide.
Timeline
One 14-day proof before wider rollout. Clear Go/No-Go after the pilot.
Not a fit
The process changes every week, nobody owns it, or there is no way to judge a correct output.
Client result

Baltimir Group — Now Baltimir starts from a prepared AI workspace and reviews a marked estimate draft about 30 minutes later.

6h+Saved / Week95%Prepared by AI
Read case study
Clients and partners
HaridusBildexElfaSkymobile
Automation in practice

Automations I've built and still look after

Three run inside client companies and three run my own business. Each card shows what starts the system, what it does and what keeps it safe.

Inside client companies
  • Construction companyLive

    Project cost control

    WhenEvery morning at 06:00.

    1. Purchases and sales for each project are read from Merit.
    2. Actual cost is compared with the plan, cost type by cost type.
    3. The owner and project managers see this morning's figures on one dashboard.
    Safeguard

    Merit access is read-only, and everyone signs in with their own account.

    • n8n
    • Merit
    • Supabase
  • Granite monument makerLive

    Order desk

    WhenA manager opens the order form in Google Sheets.

    1. Any saved order can be reopened by its number and corrected.
    2. Every save goes to the order log with a change history.
    3. The order PDF is built with one click.
    Safeguard

    System sheets are locked, so nobody can break the order log by accident.

    • Google Sheets
    • Apps Script
  • Accounting officeIn rollout

    Monthly client work

    WhenEvery month.

    1. A draft invoice is calculated from the client's package and any extra work.
    2. Month-end and tax deadlines become tasks for the team.
    3. Billing terms, contacts and document links sit on each client's card.
    Safeguard

    Nothing is sent to clients until the team approves it.

    • Uku
    • Python
    • Google Sheets
In my own business
  • Live

    Website enquiry desk

    WhenSomeone sends the contact form on this website.

    1. Each enquiry is scored for bots and spam.
    2. The company, contact and deal are created in the CRM.
    3. I get a Telegram alert with the details.
    Safeguard

    A double-click or a network retry never creates a second deal.

    • n8n
    • Google Sheets
    • CRM
    • Telegram
  • Live

    Morning brief agent

    WhenEvery weekday morning.

    1. An AI agent reads my CRM, tasks, inbox and calendar.
    2. It lists today's priorities: deals to move, overdue tasks and replies I owe.
    3. In Todoist, it sorts new tasks into the right projects and plans the day.
    Safeguard

    It reads everything but never writes to a customer.

    • Claude
    • CRM
    • Todoist
    • Gmail
    • Google Calendar
  • Live

    Outreach reply router

    WhenA prospect replies to one of my outreach emails.

    1. Auto-replies, refusals and unsubscribes are set aside.
    2. The company, contact, deal and the reply itself go into the CRM.
    3. The reply reaches me in Telegram and Gmail.
    Safeguard

    If it can't tell which company a reply belongs to, it stops before creating a deal rather than guessing.

    • Smartlead
    • n8n
    • CRM
    • Telegram
    • Gmail
Approach

We start small so we don't break anything.

Large IT projects create risk. We pick one clear process, automate it in 14 days, and prove the workflow before wider rollout.

  • One painful process.
  • Proof before scale.
  • Clear Go/No-Go after 14 days.

14-day proof plan

1
Day 1-3Map the process
2
Day 4-7Build the robot
3
Day 8-10Try to break it
4
Day 14Hand over the keys
Run monitoringException alerts

No hidden tricks.

We use standard tools you can see. When we finish, you own the code, the accounts, and the logic.

OpenAI / Anthropic

The AI brain

n8n / Make

Connects everything

Python

Custom logic

Supabase / SQL

Data storage

Your team stays in control.

The AI does the heavy lifting, but for anything important it asks a person to approve it before it happens.

Find the one task costing you the most time.

We'll tell you which process is the right one to automate first.