ICE Felix
🤖

Work less. Ship more. Automate the rest.

AI Agents & Automation

Your team is spending hours on tasks a computer could handle in seconds -- routing emails, processing documents, entering data, generating reports. We build custom AI agents and automation workflows that eliminate repetitive work, so your people can focus on decisions that actually need a human brain.

What We Automate

The repetitive tasks eating your team's time, handled automatically.

📄

Document Processing

Extract data from invoices, contracts, and forms automatically. Your team stops manually typing numbers from PDFs into spreadsheets -- the AI reads, validates, and enters the data in seconds.

💬

Customer Communication

AI-powered email routing, response drafting, and triage. Incoming requests get categorized, routed to the right department, and answered faster -- without your team reading every single message.

📊

Reporting & Analytics

Automated data aggregation and report generation. The Monday morning report that used to take 3 hours now arrives in your inbox at 8 AM -- formatted, accurate, and ready to share.

How It Works

Four steps from manual chaos to automated clarity.

1

Identify

We find the repetitive tasks eating your team's time. Half-day workshop, clear list of automation candidates.

2

Calculate

We quantify hours saved and ROI before building. You see the numbers and decide which automations are worth it.

3

Build

Custom AI agents tailored to your exact workflow. Not generic chatbots -- purpose-built automation that knows your business.

4

Integrate

Connects to your existing tools -- no rip and replace. Your ERP, CRM, and email keep working. The AI just makes them smarter.

Use Cases

Before and after: what automation actually changes in your day.

Use Case

Document Processing

Before

Staff manually reads invoices, enters data into ERP, 20 min per invoice

After

AI agent extracts data from invoices, validates, enters into ERP -- 30 seconds per invoice

Use Case

Customer Support Triage

Before

Support team reads every email, manually categorizes and routes

After

AI agent categorizes incoming requests, routes to correct department, drafts initial responses

Use Case

Report Generation

Before

Analyst pulls data from 5 sources every Monday, builds report in Excel for 3 hours

After

Automated pipeline pulls, aggregates, and delivers formatted report every Monday at 8 AM

Use Case

Data Quality Monitoring

Before

Errors discovered weeks later when something breaks downstream

After

AI agent monitors data entries in real-time, flags anomalies, suggests corrections

Investment

Starting from

EUR 5,000

Typical projects: EUR 8,000 - 30,000

What affects your price

  • Number of processes to automate
  • Data sources and format complexity
  • Integration depth with existing systems
  • Volume of data processed daily
Get an Exact Quote

Free 30-minute discovery call. No obligation.

Why Custom Software Costs EUR 10,000 -- 60,000

A custom software project is not a template with your logo on it. It is engineered specifically for your business, your workflows, and your growth plans. Here is what your investment covers:

  • Custom Model Selection & Fine-Tuning

    We evaluate and select the right AI models for your use case -- not the most expensive one, the most effective one. Prompt engineering and fine-tuning ensure accuracy from day one.

  • Data Pipeline Engineering

    Your AI agent needs clean, structured data. We build the ingestion pipelines, parsing logic, and validation layers that turn your messy documents into actionable intelligence.

  • Integration With Your Systems

    AI that lives in isolation is useless. We connect agents to your CRM, ERP, email, databases, and APIs so automation flows through your existing workflows.

  • Guardrails & Error Handling

    AI makes mistakes. We build confidence scoring, human-in-the-loop fallbacks, and monitoring dashboards so you always know what your agent is doing and can intervene when needed.

  • Measurable ROI From Week One

    Every project starts with a clear ROI target. We track hours saved, error rates reduced, and costs eliminated -- so you can see exactly what your investment delivers.

Ready to Automate?

Tell us which tasks are eating your team's time. We'll calculate the ROI.

Frequently Asked Questions

Common questions about our process, pricing, and what to expect.

Will AI replace my employees?
No. AI handles the repetitive, time-consuming tasks your team shouldn't be doing manually -- data entry, document sorting, report compilation. Your people focus on decisions, relationships, and the work that actually needs a human brain. Think of it as giving your team a tireless assistant, not a replacement.
What tools do you integrate with?
We connect to your existing stack: ERP systems, CRMs (Salesforce, HubSpot), email platforms, spreadsheets, databases, and internal tools. The goal is to automate workflows inside your current setup -- no rip and replace required.
How do you measure ROI?
Before building anything, we calculate hours saved per week for each process we automate. You see the numbers upfront: if automating invoice processing saves your team 15 hours a week, you know exactly what you're getting before we write a line of code.
Is my data secure?
Yes. We process data on your own infrastructure or EU-hosted services. Your business data never leaves your control. We follow GDPR requirements and can work within your existing security policies.
How long until we see results?
Most automation projects show measurable ROI within 2-4 weeks of deployment. The first automation is typically live within 4-6 weeks of starting the project. We prioritize the highest-impact processes first so you see value early.
What if the AI makes a mistake?
Every automation includes confidence scoring and human-in-the-loop checkpoints for critical decisions. Low-confidence results get flagged for human review. The system gets smarter over time as it learns from corrections.
Do we need to prepare our data first?
We work with data as it exists today -- messy spreadsheets, scanned documents, inconsistent formats. Part of our job is building the data pipeline that cleans and structures information automatically. You don't need a data cleanup project before starting.