Stop Doing Work a Machine Should Handle
Your team is copying data between systems. Sending emails by hand. Updating spreadsheets nobody reads. That's 10+ hours a week you'll never get back. Unless you automate it.
Automation ROI Calculator
See how much automation could save your business.
Automation ROI Calculator
See how much you could save with automation
What type of task do you want to automate?
Your Potential Savings
* Estimates based on typical automation rates for each task type. Actual savings depend on specific implementation and complexity.
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Built 63 websites and software products for Malta businesses.
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Workflow Automation
Kill the busywork. Approvals, notifications, data updates, and multi-step workflows that run themselves.
System Integrations
Make your tools talk to each other. CRM to accounting, website to email, or any combination.
Data Synchronization
One entry, everywhere updated. Automatic sync across all your systems with zero manual copying.
Email Automation
Emails that send themselves. Welcome sequences, follow-ups, and triggered notifications.
Document Workflows
Stop chasing signatures. Document creation, approvals, and routing on autopilot.
AI-Powered Automation
Smart automations that make decisions, classify data, and handle complex logic without you.
How Business Automation Works
A plain explanation of what automation actually is and how it works.
Triggers, Actions, and Conditions
Every automation follows the same basic structure. A trigger starts the workflow: a new form submission, a scheduled time, a payment received, or a row added to a spreadsheet. The trigger fires one or more actions: create a CRM record, send an email, update a database, post a message to Slack. Between the trigger and the actions, conditions control the flow. For example, "if the order value is above a certain amount, send it to a manager for approval. Otherwise, process it automatically." By chaining triggers, conditions, and actions together, you can model almost any repeatable business process.
No-Code Platforms vs. Custom API Integrations
No-code platforms like n8n and Make let you build automations visually by dragging and connecting nodes. Each node represents a step: "get new rows from Google Sheets," "create contact in HubSpot," "send email via SendGrid." These platforms are fast to set up and easy to modify, which makes them ideal for straightforward workflows. Custom API integrations, on the other hand, are code written specifically for your use case. They connect directly to each service's API and give you full control over the logic, error handling, and data transformation. Custom code runs on your own infrastructure, so there are no per-task fees.
When to Use Which Approach
For most businesses, no-code platforms are the right starting point. If you are running fewer than a few thousand tasks per month and the workflow connects common tools, a platform like n8n or Make will get the job done faster and cheaper. Custom API integrations make more sense when you hit higher volumes (where per-task pricing adds up), when you need complex business logic that is hard to express visually, or when you are integrating with internal systems that do not have pre-built connectors. Many businesses use a mix: no-code for the simpler flows, custom code for the mission-critical ones.
How AI and Automation Work Together
Automation handles the structured, predictable parts of a workflow: moving data, sending notifications, updating records. AI handles the parts that need understanding. For example, automation can route an incoming email to the right folder, but AI can read the email and determine whether the customer is asking about billing, reporting a bug, or requesting a feature. Automation can create an invoice record, but AI can read an uploaded PDF and extract the vendor name, line items, and due date. The most effective business systems combine both: AI for understanding and classifying, automation for executing the resulting actions. This is how you build workflows that handle not just the simple cases, but the messy, real-world ones too.
Automation in Action
Here's what automation looks like in practice.
Lead Management
A new lead submits a form on your website. The automation creates a contact in your CRM, assigns the lead to the right sales rep based on region or product interest, and sends a personalised welcome email within seconds. The sales rep gets a Slack or email notification with all the lead details so they can follow up immediately.
Invoice Processing
Incoming invoices are picked up from email or a shared folder. The system extracts the vendor name, amount, line items, and due date, then creates a matching entry in your accounting software. Invoices above a set threshold get flagged for manual approval, while smaller ones are processed automatically.
Customer Onboarding
When a new customer signs up, the automation creates their account across every system: CRM, billing, project management, and communication tools. A welcome email sequence starts immediately, and onboarding tasks are created and assigned to the relevant team members. Nothing falls through the cracks because the process is the same every time.
Reporting
The automation pulls live data from your CRM, analytics, and accounting tools on a set schedule. It compiles the numbers into a formatted report and delivers it by email or posts it to a shared channel. No one has to open a spreadsheet, copy figures, or remember to send the report on Monday morning.
"We worked with Solveita to make a software that helps us convert eBooks. Our team did lots of repetitive work before, but the tool they built us uses AI to generate images with different styles. It took some months to find the right AI models, but now our workflow is much simpler and we can deliver faster."
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Listen to the business leaders who hired us.
Charmaine Cauchi
Founder, The Laser Room Med-Aesthetic Clinic
Automation Questions
Malta SMEs can get up to 60% funding for automation projects through the Digitalise Your SME grant
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Other ways we help businesses like yours get more customers and save time.
Your team is doing 10+ hours of work a machine should handle
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