AI employees · Agents · Automation

Get back the time your team loses between systems.

We build and operate AI employees that process email, prepare documents, update CRM records and stop where a human decision is required.

A 30-minute conversation. Show us one real process. We identify what is worth automating, where a person stays in control and what a first version would include.

WORKS WHERE YOUR TEAM ALREADY WORKS
Outlook Gmail Teams Slack HubSpot Shopify Notion Jira

01 / Concrete workflows

Real tools

The agent moves between tools your team already uses.

Four typical workflows. Before a pilot, we verify the APIs, access and realistic integration options.

01Sales

Enquiry → prepared proposal

Gmail→HubSpot→Google Docs→Teams

The agent reads the enquiry, checks the customer in CRM, updates the record and prepares a proposal draft from an approved template.

A person still: checks the price and approves sending through Teams or Slack.

Alternatives: Outlook, Pipedrive, Salesforce, Word, Slack.

02Customer support

Customer question → reply draft

Zendesk→Shopify→Slack

The agent checks the order, delivery status and prior communication, then prepares a reply using the service rules.

A person still: handles unusual returns, compensation and conflict.

Alternatives: Gorgias, Intercom, WooCommerce, Teams.

03Reporting

Files and tables → one report

Drive→Sheets→Notion

The agent collects files, reconciles values and prepares a recurring report in the agreed format.

A person still: reviews flagged mismatches and makes decisions.

Alternatives: SharePoint, Dropbox, Excel, Airtable, Word.

04Project operations

Meeting → tasks and owners

Teams→Jira→Slack

The agent turns the meeting summary into tasks, assigns agreed owners and lists unclear points.

A person still: confirms priorities, deadlines and ownership.

Alternatives: Meet, Zoom, Asana, Linear, monday.com, Notion.

02 / Current process cost

How much time does one repetitive task consume?

Enter your own process numbers. The calculator shows the current workload, not a promise that AI will replace all of it.

Example

80 enquiries × 12 min = 16 hours of manual work each month.

Each month16 hrs
Labour cost each month400 €
Labour cost each year4,800 €

This estimates the current workload. The portion worth automating depends on the process, exceptions and required controls.

Assess what can be automated

03 / Control

The agent gets limits, not freedom to improvise.

We define what it may do on its own, when approval is required and what must be handed to a person.

✓
Allowed actionsExplicit systems, data and operations.
II
Human approvalSending, pricing, payments and other sensitive actions.
≡
Action historySee what the agent read, decided and changed.
!
Errors and exceptionsUnclear cases stop and go to a person.

04 / One-process pilot

One process. Fixed scope. A working version tested with real cases.

  1. 01
    Show us the work as it happens now

    Who receives the information, what they check, where they copy it and when a decision is made.

  2. 02
    Agree the limits and the result

    What the agent does itself, where it waits for approval and how we will measure whether it helps.

  3. 03
    Launch a working version

    Connect the existing tools, test real cases and record exceptions.

  4. 04
    Monitor it after launch

    Review actions, errors and cost. We maintain the agent as a live system rather than leaving a demo behind.

05 / When AI is unnecessary

If ordinary automation is enough, we do not build an agent.

We use AI where the work requires understanding text, context or inconsistent cases. Clear rules are often handled more reliably and cheaply by a conventional integration.

06 / First step

Let us assess one process.

Show us one repetitive task. During the conversation we will break it down and assess:

  • how much manual work it creates today;
  • which steps are worth automating;
  • where human approval is required and what a pilot would include.
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