Automate the tasks that cost you money. Convert the stuff that takes up your time.

What no one in your company has yet calculated

There are two categories of costs that most companies accept as inevitable and never question.

The first one is the time spent by staff on tasks that always follow the same pattern: moving data from one tool to another, sending confirmations, generating reports, sorting incoming requests, notifying the team when something changes. No one has put this on a line item in the income statement, but if you multiply the hours by the hourly rate and by the number of times this happens each month, the figure is surprising.

The second one is the customer response time. A lead who asks a question and doesn’t receive a response within the first few minutes sees their conversion rate plummet. A customer who needs information outside of business hours and doesn’t receive it will turn to the competition. It’s not a staffing issue—it’s a scalability issue. You can’t hire people to be available 24 hours a day, but you can build a system that is.

One service, two use cases

AI & Automations is a unique service that builds automated systems using n8n—a workflow automation platform— combined with artificial intelligence models when necessary. What sets our projects apart is who the resulting system is designed for.

Within the company — internal processes:

Workflows that connect the tools your team already uses and eliminate manual intervention in repetitive processes. The CRM that updates itself when a lead comes in. The weekly report that is generated and sent automatically. The invoice that is issued the moment payment is confirmed. The support ticket that is classified, prioritized, and assigned without anyone touching it. The system that detects when a contract is about to expire and generates the renewal draft before anyone remembers to do so.

Customer-facing — conversion and support:

AI assistants that interact with customers in real time— on your website, on WhatsApp, on Slack, or on any channel where the customer is already active—answering questions, qualifying leads, guiding the purchasing process, and escalating to the human team when the situation calls for it. Available 24 hours a day, with real knowledge of your business and at a fraction of the cost of scaling up the customer service team.

Less than two years ago, artificial intelligence was no longer a competitive advantage exclusively for large corporations. Today, small and medium-sized businesses are integrating it into their business and operational processes to respond more quickly, operate with less friction, and scale up without proportionally expanding their teams. Those that aren’t doing so are at a competitive disadvantage without even realizing it yet.

The two contexts are complementary and are often designed to work together seamlessly: the chatbot that interacts with customers on the website can automatically populate the CRM, create a task in the project management tool, and notify the team on Slack—all within the same workflow.

What this actually achieves

Lead generation and qualification without manual intervention

When a visitor fills out a form on the website, an automated system can create the contact in the CRM, send a personalized confirmation email, notify the sales team on Slack with a summary of the lead and its AI-generated qualification score, and schedule a follow-up reminder—all at the same time, without any human intervention. This is a fully executable scenario and one of the most in-demand by companies with active sales teams.

Automated Support Management

Every email or ticket that comes into the support team can be routed through an AI classifier that determines the type of inquiry, its urgency, and the department responsible. Frequently asked questions receive an automatic response based on the company’s knowledge base. Those requiring human intervention are routed to the appropriate person with the context already provided. The team stops wasting time sorting and starts resolving issues—and this workflow can be implemented on the support tools the client already uses.

Automatic reporting

Imagine that every Monday at 8 a.m., your management team receives a consolidated report with metrics from the previous week—sales, traffic, open incidents, project status—generated automatically by cross-referencing data from various platforms. No one has prepared it, no one has accessed any system. This scenario is fully achievable with automation of moderate complexity — and it eliminates a task that, in many companies, consumes several hours a week of a qualified employee’s time.

Automated customer onboarding

When a client completes their registration and payment, a well- designed system can create their account across all necessary tools, send a welcome email with their login credentials, generate their project folder, create the initial tasks in the task manager, and notify the account manager—all within seconds, without any manual intervention. A process that today might take 20–30 minutes of repetitive work becomes a self-executing workflow, every time, without errors.

Customer service representative available 24 hours a day

An assistant trained on the company’s documentation, catalog, and policies can resolve approximately 60% of incoming inquiries without human intervention. For a company with 1,000 monthly support inquiries, that amounts to roughly 600 conversations that the team doesn’t have to handle—available at any time, on any channel, with consistent, well-founded responses based on real business knowledge. The ones the assistant cannot resolve are forwarded to the team with the context and summary already prepared.

From a manual process to an automated system in a matter of weeks

Consulting and mapping. We start by understanding the process as it currently stands: who carries it out, what tools they use, how many times a week, what decisions they make during execution, and what exceptions exist. This mapping helps us determine what can be automated directly, what needs to be redesigned, and what to prioritize based on impact.

Flowchart design. Before we start building anything, we design the entire workflow—triggers, actions, conditions, error handling, edge cases—and validate it with the client. We don’t start building until the design is approved.

Development and testing. We built the workflow in n8n and tested it using real data from the client—not synthetic test data. Edge cases come up with real data, not with clean examples.

Delivered with documentation. The customer receives a fully operational system along with comprehensive documentation: what each part of the workflow does, what happens when something goes wrong, and how to recover. The system isn't a black box—the customer understands what they have.

15-day post-delivery support. We monitor the flow for the first 15 days and address any unforeseen issues that arise during actual use.

Pricing per project, not per action

€2.000 – 8.000+ — The base price of €2,000 includes consulting, design, workflow development, error handling, testing with real data, documentation, and 15 days of support. The price increases based on the number of workflows, the complexity of each one, and the project’s add-ons.

Additional workflows based on complexity:

Chatbots and AI assistants:

Examples of complete projects: