Enquiry → prepared proposal
The agent reads the enquiry, checks the customer in CRM, updates the record and prepares a proposal draft from an approved template.
Alternatives: Outlook, Pipedrive, Salesforce, Word, Slack.
AI employees · Agents · Automation
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.
01 / Concrete workflows
Real toolsFour typical workflows. Before a pilot, we verify the APIs, access and realistic integration options.
The agent reads the enquiry, checks the customer in CRM, updates the record and prepares a proposal draft from an approved template.
Alternatives: Outlook, Pipedrive, Salesforce, Word, Slack.
The agent checks the order, delivery status and prior communication, then prepares a reply using the service rules.
Alternatives: Gorgias, Intercom, WooCommerce, Teams.
The agent collects files, reconciles values and prepares a recurring report in the agreed format.
Alternatives: SharePoint, Dropbox, Excel, Airtable, Word.
The agent turns the meeting summary into tasks, assigns agreed owners and lists unclear points.
Alternatives: Meet, Zoom, Asana, Linear, monday.com, Notion.
02 / Current process cost
Enter your own process numbers. The calculator shows the current workload, not a promise that AI will replace all of it.
80 enquiries × 12 min = 16 hours of manual work each month.
This estimates the current workload. The portion worth automating depends on the process, exceptions and required controls.
Assess what can be automated03 / Control
We define what it may do on its own, when approval is required and what must be handed to a person.
04 / One-process pilot
Who receives the information, what they check, where they copy it and when a decision is made.
What the agent does itself, where it waits for approval and how we will measure whether it helps.
Connect the existing tools, test real cases and record exceptions.
Review actions, errors and cost. We maintain the agent as a live system rather than leaving a demo behind.
05 / When AI is unnecessary
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
Show us one repetitive task. During the conversation we will break it down and assess: