Artificial intelligence automation, process design and n8n

With AI automation, I turn repetitive tasks into simple, traceable flows.

I’m Reza Doostipour. I started in software development, then moved through networking, infrastructure, operations management, and enterprise sales. Today, I bring those experiences together to turn repetitive, scattered tasks into clear, traceable workflows.

A big part of my work is finding where teams lose time unnecessarily: moving information between tools, entering the same data twice, following up manually, or rebuilding reports from scratch. I use n8n, APIs, and AI tools to solve those problems.

My goal is to build automation that genuinely helps with day-to-day work—not an impressive demo that gets abandoned a few weeks later.

Process analysis and optimizationAutomation with n8n and APIArtificial intelligence agents and assistantsIntegrating CRM, sales and operations
Portrait of Reza Dostipour, artificial intelligence automation specialist
Reza DoostipourArtificial intelligence automation, process design and n8n
Professional position

about me

I am Reza Dostipour. My work path started from software and web development, reached network and infrastructure management, and then continued with technical sales, CRM and team management.

This diverse experience has made me not only think about technical implementation when designing an automation. It is important for me that the solution is compatible with the way the team works, has a reasonable maintenance cost and can measure its results.

These days, my focus is on artificial intelligence automation and business process intelligence; From identifying the problem and designing the work path to connecting tools with n8n and API, error management and gradual improvement of the solution.

general view
The solution starts with the problem itself

Artificial intelligence automation, process design and n8n

What help can I get?

For every problem, I find the simplest solution first

Sometimes the answer is a simple connection between two tools, and sometimes we need artificial intelligence. It is important that the solution is aligned with the real work of the team.

Artificial intelligence automation

For tasks such as categorizing messages, extracting information, summarizing and preparing drafts, I introduce artificial intelligence into a real, controlled process.

Explore Artificial intelligence automation

Business intelligence

I examine time-consuming and fragmented processes to determine which parts need to be simplified, integrated, or automated.

Explore Business intelligence

Automation with n8n

I connect forms, CRM, email, messenger, database and different services in a clear and maintainable workflow.

Explore Automation with n8n

Sales automation and CRM

I automate lead capture and assignment, follow-up reminders, and sales reports so CRM data stays organized and reliable.

Explore Sales automation and CRM

Systems integration

I connect separate tools with API and Webhook so that data can be moved between them without copying and reworking.

Explore Systems integration
How do we move forward?

First we understand the problem, then we go to the tools

Instead of starting a big, vague project, we pick a real piece of work and move forward one step at a time.

Step 01
First, let's find out exactly where the problem is

We review together the actual path of the work, the people involved, the input data and where the work is stopped or repeated.

Step 02
Clarify the solution and desired result

We determine what needs to be changed, what tools are needed and how to know if the solution really worked.

Step 03
Let's start with a small example

Instead of starting a big project, we first run a limited section with real data so that bugs can be seen early.

Step 04
Deliver a maintainable solution

Errors, warnings and recovery methods are documented so that the system remains understandable and correctable even after delivery.

Things that are important to me

The solution should help the team work, not create new problems

I consider these few principles in the design and implementation of every project.

01Clear goal

If we don't know what's going to improve, automation only makes things more complicated.

02Simple process

The ambiguous process should not be automated; First, the work path and the person responsible for each step should be clear.

03Human control

In sensitive decisions, artificial intelligence should make suggestions and humans should make the final decision.

04data security

Sensitive information and access levels are designed from day one, not later.

05sustainability

A system whose errors cannot be understood and recovered will damage the work of the team sooner or later.

06Small start

A small example with real data can teach us a lot more than a big, obscure project.

Professional experience

My professional path

A summary of experiences from technical work to sales and team leadership.

01
B2B salesneeds assessmentdelivery

Technical sales and project cycle management

Raya network technology From 1403

By entering technical sales, I took responsibility for needs assessment, BOM preparation, estimation and proposal, negotiation with customer and supplier and coordination of network and infrastructure project implementation.

  • Management of the pre-sales and sales cycle in about 5 network and infrastructure projects
  • Preparation of BOM, pre-invoice, technical and price comparison and supply and implementation coordination
  • Working with solutions and equipment from Cisco, Fortinet, HPE, MikroTik, Ubiquiti, Grandstream and Legrand
02
Sales leadershipteamperformance

Supervise sales and develop team performance

Raya network technology now

In my current position, I lead four sales professionals and focus on follow-up quality, CRM discipline, pipeline realism, reporting and team performance development along with key negotiations.

  • Direct supervision of four sales professionals and regular review of opportunities
  • Hands-on work with CRM, Pipeline, Forecast, KPI and sales reports
  • Participation in projects and organizational collaborations with Azad University of Science and Research, Telecommunications and Tehran Document Registration Office
The writings

Notes on automation, n8n and real work teams

Things that are useful to know before starting a project; Simple, practical and without strange promises.

Artificial intelligence automation · 9 minutes

What is artificial intelligence automation and where to start?

If you want to choose the right first job for AI automation, this guide explains simple criteria and important risks.

Read about Artificial intelligence automation
Business intelligence · 8 minutes

Where to start for business intelligence?

A step-by-step path to find bottlenecks, choose the first project and measure the result of business intelligence.

Read about Business intelligence
n8n · 10 minutes

7 things you can automate with n8n

Seven real-life examples of automation with n8n in sales, CRM, reporting, and document processing, along with tips to avoid common mistakes.

Read about n8n
Path and expertise · 7 minutes

What exactly does an AI automation engineer do?

A simple and clear look at the role of an AI automation engineer, the skills required and what you should deliver at the end of a project.

Read about Path and expertise
Before starting

Some important questions about security, maintenance and implementation

Short answer to things that should be clear before building any automation.

Is artificial intelligence going to make decisions instead of the team?

Not in sensitive decisions. AI can organize, summarize or make suggestions; But where the customer's foot, money or an important decision is involved, the final approval should be left in the hands of the people.

What is considered for information security?

From the beginning, we specify what data each department needs and who should have access to it. Codes are not written into the workflow and there is a clear path for error, event logging, and accesses.

What if the workflow stops after delivery?

Automation must be trackable. For failed alert executions, the error log and retry method are redefined, and the workflow remains documented so that finding the problem is not dependent on guesswork.

What is the beginning of cooperation?

First, we review a specific task as it is done today. If the automation made sense for it, we'd test a limited portion with real data and then decide where to go.

What is not a good option for automation?

Work that is done infrequently, doesn't have a clear path, or where a mistake has serious consequences is usually not a good option for full automation. Sometimes simplifying the process is more useful than adding new tools.

Start a practical project

If something is taking up your team's time, write about it

You don't need to know the solution. Describe the way you do things today and the problem you are facing; We start from there.