# AI-powered business process automation

> Approvals, data entry, document checks, reports: I automate manual, repetitive procedures inside the systems your company already uses, so your team spends its time on decisions rather than repetitive work.

- URL: https://mojtabaamini.com/services/process-automation
- Language: en
- Author: Mojtaba Amini, AI Software Engineer (Verona, Italy)

## Process first, technology second

Automation is not a product you buy; it is a way of looking at work. If a process is a mess, automating it just makes the mess faster. That is why we start by mapping the procedure with the people who run it every day.

I look for three signals: repetitive rule-based steps, steps where someone has to read unstructured text or documents, and steps where a person waits for information that already exists somewhere. That is where AI automation pays back.

## What can be automated

- Data entry from documents, emails and forms into your ERP and CRM
- Document verification and validation, with automatic checks and human review of doubtful cases
- Approvals and hand-offs between departments, with the required information already collected
- Periodic reports and dashboards generated automatically
- Certificates and conformity documents generated from test data
- Planning and cross-team coordination, with AI forecasts and suggestions

## How we work

1. **Mapping**: We pick one painful procedure and time every step.
2. **A measurable goal**: We define the number to improve in the process’s own units: quote turnaround, approval queue, hours of data entry.
3. **Built-in automation**: The automation lives inside your existing systems, at the exact step where the work happens, not in a separate app.
4. **Human in the loop**: AI handles the easy cases and routes the hard ones to a person, with its reasoning attached.
5. **Measure**: We compare before-and-after numbers, and only then expand to other processes.

## Real projects

- [Agent Flow Bind — ready-made AI agents for repetitive work](https://mojtabaamini.com/projects/agentflowbind-en) (Agent Flow Bind · Aug 2026 — Present): My own AI agent platform: 23 templates for documents, phone and finance, delivered through a console, a public API and published web apps. Try it live: 3 free runs a day.
- [AI-powered document verification & enterprise .NET automation](https://mojtabaamini.com/projects/studium-group-en) (Studium Group · Jul 2026 — Present): Enterprise .NET backend + applied AI: an AI document-verification system and internal-process automation that improve performance, scalability and reliability.
- [AI co-pilot for ERP & production planning](https://mojtabaamini.com/projects/dekali-en) (Dekali (ex Virevo) · Jul 2023 — Sep 2026): LLM assistant + RL scheduler embedded in a manufacturing ERP. Cuts cross-team coordination from hours to seconds.
- [CAN-bus battery analytics & automated test certification](https://mojtabaamini.com/projects/voltfang-en) (Voltfang GmbH · Mar 2023 — Aug 2023): CAN-bus reader & automated battery test certification, written for Voltfang's incoming-product test pipeline.

## Technology

.NET, C#, Python, Angular, SQL, Azure, API, Document AI, LLM

## Further reading

- [Process automation is a mindset, not a tool](https://mojtabaamini.com/writing/process-automation-mindset-en) (Article · Jul 2026): Every company wants "automation". Few can say which process, in what order, and how they will know it worked. Here is how I decide what to automate — across manufacturing, finance and enterprise .NET backends.
- [The CRM is the moat, not the AI](https://mojtabaamini.com/writing/crm-is-the-moat-en) (Article · Sep 2024): Notes from a CRM modernisation in the Italian subsidised-finance sector. Why I keep recommending tiny AI features and bigger CRM investments.

## Frequently asked questions

**What is the difference between traditional automation and AI automation?**

Traditional automation follows fixed rules on already-structured data. AI adds the ability to read documents, emails and free text, to classify and to forecast, so it can automate steps that used to need a person. In real projects the two work together.

**Which process should we start with?**

One your team finds painful and that has a measurable cost: usually a document-to-data step, or looking up information that today means interrupting a colleague.

**Do we need to replace our business software?**

No. Automation integrates with your existing ERP, CRM and backends through APIs and databases. I have worked on .NET, Angular, Python and SQL stacks.

**How is the return measured?**

In the process’s own units, not AI metrics: response times, hours saved, cases closed per day, errors avoided. The number is defined before starting and measured before and after.

## Let’s talk about your project

Tell me about the process you want to improve: I will reply with a first assessment of where AI can help and where to start.