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David Máj / AI, Data and Automation

I help move AI from presentations into day-to-day operations.

I review the current process directly with the people who work with it, propose the right first step and take the solution through to live operation.

Describe What You Need to Change Selected Projects
Czech and International Projectsfrom analysis to operations
ERP, Cloud and AIfrom design to operations
Since 2017leading TechOne

Practical Experience

Business Systems, Integration, Cloud and AI in One Operational Context.

My experience spans business application development, ERP integration, EDI implementation and cloud migrations for manufacturing, logistics, energy, insurance and public administration. This allows me to connect technical design with business systems, data and people’s day-to-day work.

From Technology to Change

Technical Design Must Reflect People’s Work and Business Operations.

Project success is not determined by technology alone. It also requires a clear objective, usable data, accountability and integration with day-to-day work. This is where I connect management, operations and IT.

Selected Projects

Experience from Real Projects

These projects show how AI can be integrated with real data, business systems and people’s day-to-day work.

01 Clinic Management System

Medicalface

Medicalface brings the entire clinic operation together in one system: from online booking, the waiting room and procedures through patient records, digital consent forms and photo documentation to communication, payments and inventory management with batch tracking, expiration dates and automatic stock deductions.

One application replaced five separate Excel spreadsheets. Today, doctors, receptionists and nurses use it to manage appointments, documentation, communication and material consumption.

  • From Booking to Procedure
  • Patient Records
  • Photo Documentation and Consent Forms
  • Batches and Expiration Dates
02 Documents and Approvals

SmartDocto

The platform accepts documents from a website, email, an API or an external link. AI extracts the data, the system validates it and routes the document for approval or to a downstream system.

The platform keeps each company’s data separate and allows companies to define their own user roles, document types and processing rules. Every step, from receipt of a document through approval or transfer to another system, remains traceable.

  • 4 Input Channels
  • AI Data Extraction
  • Approval Rules
  • Transfer to Downstream Systems
03 Sales Process

AI Agents for CRM and Company Data

One workflow connects job postings, public company data, web research, Dynamics 365 and Outlook. It helps identify and develop sales opportunities.

The job posting, source data, CRM record and prepared communication are connected in a single workflow. The supporting evidence and next step remain traceable for every opportunity.

  • Recruitment Signals
  • Company Research
  • Contact Verification
  • Dynamics 365 + Outlook
04 Search and Content

AI System for Data-Driven Content Management

The solution combines Google Search Console, server logs and web analytics. For each page, it tracks queries, impressions, clicks, positions, visits and AI crawler activity.

AI prepares a prioritized list of changes tied to a specific URL, query, period and data source. Results are measured again after deployment, preserving a traceable record of what changed and its impact.

  • Search Console and Server Logs
  • Traffic Analysis
  • AI Crawlers and Citations
  • Data-Driven Content Plan
05 Finance and ERP

Financial Document Automation

The solution connects Outlook, SharePoint and Dynamics 365 Business Central. It routes incoming invoices, together with their original attachments, into the finance workflow, uses AI to extract the required data from receipts and matches incoming payments with sales invoices.

The document, source message, attachment, extracted data and processing status remain linked in Dynamics 365 Business Central. Document intake and payment matching therefore form one connected process.

  • Outlook + SharePoint
  • AI Receipt Data Extraction
  • Dynamics 365 Business Central
  • Payment Matching

Other Technology Projects

Data, Infrastructure and Operations.

AI and automation depend on connected systems, stable infrastructure and usable data. Even fragmented data can be consolidated, cleaned and prepared for further processing.

DATA / AI

Sales2Up

The data platform processes more than 3.5 million Czech economic entities from 22 sources, including financial statements and public procurement data. It makes the resulting data available to people, CRM systems and AI agents through an API and MCP.

  • ETL from multiple sources, with traceable provenance for every data point
  • Company search, sales signals and CRM data enrichment
  • AI agents support data processing, development, quality checks and product management
  • Ongoing checks of data quality, completeness and freshness
INFRA / DEVOPS

VMware → Proxmox

Data center modernization and migration design for more than 300 virtual servers from VMware ESXi to Proxmox VE. The design covered the cluster, storage, network, monitoring and security.

  • Design of the Proxmox cluster, shared storage and high availability
  • Migration in batches, with pilot validation, checks and rollback options
  • Infrastructure monitoring and regular security checks
  • Plan for backups, identity management, operations automation and support
MCP / INFRA

MCP for Controlled Data Center Operations

We developed custom MCP servers that provide a unified technical interface to physical servers, virtualization, storage and networks. Each tool has a defined scope and separates state inspection from approved changes.

  • Unified tools for iDRAC/Redfish, Storwize, Proxmox, VMware, RouterOS and SSH
  • Inventory, health, firmware, power, capacity and network telemetry in one context
  • Read operations separated from controlled changes, with restricted permissions and approvals
  • An interface for technicians, operations applications, automation and assisted AI according to assigned permissions
PLATFORM / DEVOPS

Document Platform on Docker

We divided the production platform into separate applications, processing services, workers and schedulers. Documents move through a controlled workflow from intake and security checks through processing and approval to delivery into downstream systems.

  • Separate web applications, APIs, workers and schedulers in Docker
  • PostgreSQL with PgBouncer, Redis and BullMQ queues, and MinIO object storage
  • Malware scanning, file conversion, notifications and integration services
  • Health checks, resource limits, isolated networks, backups and restore validation

How I Can Help

I Connect Management, Operations, IT and Vendors.

  • Process mapping and selection of tasks suitable for AI or automation
  • Pilot design, prototype development and validation with real data
  • Decision support on what to build, buy, integrate or stop
  • Coordination of internal IT, external vendors and users
  • Security setup, handling of sensitive data and approvals
  • Training, documentation, usage measurement and follow-up improvements

Scope of Engagement

I Can Help with a Specific Project or with the Long-Term Development of AI Across the Company.

Sometimes it makes sense to start with one carefully selected task. In other cases, I first help determine where to begin and then develop further projects.

Project-Based

Deliver a Specific Project

For a process that takes up people’s time, causes errors or relies on manual work, I establish how it works today, propose a solution and validate it on a limited scale.

  • analysis of one process
  • pilot design and delivery
  • benefit evaluation
Strategic

Identify Where AI Makes Sense in the Company

I map repetitive work, available data and the needs of individual departments. The result is a prioritized list of opportunities, an overview of risks and a proposal for the first projects to validate.

  • company-wide opportunity mapping
  • priorities based on benefit and effort
  • plan for the first implementations
Ongoing

Develop AI Across the Company over Time

I help the company move from individual pilots to routine use. I address follow-up improvements, employee involvement, internal rules, training and measurement of actual usage.

  • management of follow-up projects
  • employee involvement, training and internal rules
  • measurement and continuous improvement

Learning and Development

I Teach People to Use AI for Work, Learning and Exploring New Possibilities.

I show them how to give AI the context it needs, ask the right follow-up questions, verify outputs and create repeatable workflows. This enables them to handle more demanding tasks and discover further uses themselves.

Describe What You Need to Change

You do not need to have a selected technology or a finished brief. Describe the current situation, intended outcome and available evidence. I will respond with a proposed first step.

Prefer to Choose a Time?

Book a Short Introductory Meeting.

If you already know what you want to discuss, you can select an available time instead of using the form.

Choose a Time 20-minute introductory meeting · online via Microsoft Teams +420 737 930 685 david.maj@techone.cz LinkedIn Profile