Your team re-enters the same data across five tools and loses hours every week.
Service: Automation & integrations
Connect your tools and get hours back every week.
We connect your store, CRM, invoicing, inventory and email into one smooth flow. Repetitive steps run themselves, and where it helps, AI supports them. No manual copy-paste, no full-time clicking.
Free consultation. No commitment.
Your tools should talk to each other on their own.
Automation means connecting the tools you already use, so data flows between them without manual re-entry. A store order goes straight to invoicing, a form lead into your CRM, and you get an alert instead of clicking. We build it on proven platforms like n8n, Make and Zapier, or directly through APIs. Where a process needs a decision, not just a rule, we add an AI layer.
Sound familiar?
Orders, invoices and leads slip between systems because someone has to move them by hand.
You know it could be automated, but you have no time or person to put it together.
From tool chaos to one flow.
We map processes
We list the tools, data and manual steps that take the most time. We start where automation pays back fastest.
We connect tools (integrations)
We connect your store, CRM, invoicing, inventory, forms and email so data moves between them automatically. For larger scopes, we also build SaaS panels.
We build flows (automations)
We set rules: “when X happens, do Y". A new order creates an invoice, a lead lands in CRM, an event triggers a notification.
We add AI where needed
Where a rule is not enough, we add a model: ticket classification, extracting data from documents, generating content. A bridge to full AI agents.
Safety and control
We limit data access, add alerts and points where important decisions need human approval. The automation does not run blindly.
Monitoring and maintenance
We give a simple view of whether flows work, and fix exceptions that appear in real work.
Technology stack.
Workflow platforms
-
n8n
Explanation: An open automation tool that can be self-hosted. - Make
- Zapier
Integrations and API
- REST API
-
Webhooks
Explanation: Automatic notifications sent between apps when something happens. - MCP
- Google Apps Script
AI in automation
- Claude
- GPT
- OpenAI API
- RAG
We build automation from simple rules to AI-assisted flows, but always start with process and data.
What we automate most often.
Order > invoice
a new store order creates an invoice automatically and saves it where it needs to go.
Lead > CRM > notification
a form inquiry lands in CRM and immediately notifies the salesperson.
Stock and price sync
inventory and prices update between your store, marketplaces and warehouse.
Automated reports
data from tools lands in one report sent at a scheduled time.
Customer onboarding
after purchase, the next steps trigger: access, message and task for the team.
Ticket sorting (AI)
AI reads incoming emails and tickets, classifies them and routes them to the right person.
Data from documents (AI)
AI extracts data from invoices, contracts and forms and enters it into the system.
Notifications and alerts
important events (large order, error, stockout) go to Slack or email immediately.
Mindgram and Natu.Care
We automate our own companies.
At Natu.Care and Mindgram, automations and integrations removed hours of manual work from teams every week, from order handling to reporting. We use the same approach for you: the biggest time saving first.
~25 FTEof work removed through automation and AI - Mindgram
Questions about automation and integrations
Which tools can you connect?
Typical business systems: store (Shopify), CRM, forms, email, invoicing, inventory and spreadsheets. If a tool has an API, it can usually be connected. We check this at the start and tell you directly what is possible and what is closed.
What do you build automations on?
Most often on n8n, Make or Zapier, and in unusual cases directly through APIs. We recommend n8n when you care about data control, because it can be self-hosted. A good solution is one your team can maintain without stress.
How is this different from AI agents?
Automation follows predictable rules: “when X happens, do Y". An AI agent makes decisions and handles exceptions. We often start with simple automation, then add AI where the process needs judgment, not only a rule. Full agent launches are handled as a separate service.
Is this safe for my data?
We start by deciding what data is truly needed. We limit sensitive data, keep access narrow and leave important decisions under human control. We can build on tools hosted by you, so data does not leave your environment.
What if a tool has no ready integration?
We check the API or data export. Sometimes a simple import or recurring file is enough, and sometimes we build a small custom connector. If the tool is completely closed, we tell you before spending time.
How much time can this realistically save?
It depends on the process, but repetitive data copying often means several to a dozen hours a week per person. After mapping the process, we estimate the saving before building anything.
How long does implementation take?
A simple automation usually launches in a few days to two weeks. We start with one process with the highest potential, check the effect and add the next ones.
What happens if an automation breaks or hits an exception?
We add monitoring and alerts, so you know immediately when something needs attention. Exceptions the automation cannot handle go to a human instead of silently damaging data.
From the knowledge base