AI agent development and training for companies that want to work better every day.
I design cloud or on-premise AI agents to help your company manage operations, documents, content, analysis, communication and internal processes better. If you prefer, I also train your team so it can work independently.
If today you lose time on repetitive, disorganized or slow tasks, there is real room for improvement here.
Many companies do not need “more AI”. They need less friction, more operational order and tools that genuinely support people and processes.
Scattered documents that are hard to find
Information is everywhere: folders, email, sheets, notes, PDFs. Finding what is needed takes too much time.
Email, reports and content still handled manually
Many repetitive tasks weigh on already overloaded teams and slow daily work.
Disconnected tools
Drive, email, sheets, CRM and documents exist, but they do not interact in a useful way.
Analysis and checks that consume working hours
Data must be read, reorganized, interpreted and reported manually, with the risk of errors and delays.
Slow processes between departments
Marketing, administration, sales and operations often work without a continuous flow.
Difficulty introducing AI in a practical way
Too many tools, too many promises and little clarity about what the company really needs.
You can choose whether to rely on me for development or make your team autonomous
AI agent development for real operational needs
I design tailored solutions starting from your workflows. The goal is not to add complexity, but to create concrete tools that help people, departments and processes.
- Agents for marketing, content, documents, reports and decision support
- Integration with Drive, Sheets, Docs, Gmail and other systems
- Simple web interfaces, accessible from normal PCs and Macs
- Cloud or on-premise solutions
Practical training to use or build useful agents
If you want to make your team autonomous, I can build practical training paths to introduce AI into the company in a clear, concrete and sustainable way.
- Training for owners, managers and operating teams
- Practical introduction to using AI in business
- Paths on agents, workflows, APIs, MCP and productivity
- Support focused on autonomy
Real examples of agents that can improve daily work
Here you will not find demos built only to impress. You will find examples of tools designed to solve real problems and integrate into daily work.
Watch the full playlist on YouTube
Operational marketing agent
An AI agent designed to support marketing activities quickly and concretely.
Watch the video demo
Newsletter and trend agent
It retrieves fresh and relevant news, organizes it and supports the production of updated newsletters.
Watch the video demo
Multi-agent system with local RAG archive
Several virtual specialists collaborate on documents, data and internal contexts.
Watch the video demo
On-premise medical agent
Diagnostic support or triage in environments where privacy and data control are essential.
Watch the video demo
MCP server for Google Workspace
It connects Drive, Docs, Sheets and Gmail to bring information and tools into smarter workflows.
AI does not replace you, it makes you faster.
AI agents are operational tools that can dramatically improve business productivity. They support your team with repetitive tasks, document analysis, market research and data management, delivering a considerable time saving.
Having a technology partner alongside you who can develop tailored solutions or train your team is a strategic opportunity to avoid falling behind.
Contact us for a callI am not proposing yet another tool. I help you build a useful system.
Operations before theory
The focus is reducing friction, accelerating tasks and improving operational continuity.
Simple interfaces
Browser-based tools that can be used from normal PCs and Macs without unnecessary barriers.
Data control
Cloud when it makes sense, on premise when privacy and sovereignty become central.
Solid architecture
APIs, Python, MCP, RAG and integrations designed as an operational structure, not as a passing trend.
How I turn an operational need into a concrete tool
Problem analysis
I understand how you work today, where the flow gets blocked and where there is real room for improvement.
Flow definition
I structure inputs, outputs, agent logic, tools involved and the goal of the system.
Prototype or POC
I create a first useful version to validate the idea quickly.
Development and integrations
I make the tool usable by the team and connected to the necessary systems.
Testing and release
I refine the system, collect feedback and move it toward real daily use.
AI Architect in Residence: continuous AI support inside your company.
For many SMEs the issue is not understanding that AI is useful, but knowing where to start, which processes to analyze, which agents to build and how to make cloud tools, business software, internal data and local or on-premise models work together.
With Ergoware AIR you add a dedicated AI Architect to your company, with a sustainable monthly allocation of hours, able to read workflows, prepare an agentic roadmap, design RAG systems, automation and infrastructure, and support the team through training.
First, we analyze
AI Readiness Check, process mapping, software, data, critical issues and priorities.
Then, we build
AI agents, RAG, automation, training and cloud or on-premise setup.
Intelligent document management for a Maltese company
Discover how we designed a custom AI Agent for a Maltese company, automating analysis, classification and search within a large corporate archive. A system capable of processing thousands of documents, drastically reducing operating time and manual errors.
Antonio Di Chiano, CEO of Ergoware Ltd and AI Agent Architect.
I work at the intersection of technology, marketing and business operations. After years of experience in SEO, performance marketing and B2B digital strategy, I now design AI agents, RAG systems, automation and on-premise solutions for companies that want to use artificial intelligence in a concrete way.
My approach is practical: I start from real processes, documents, data and tools already present in the company. The goal is not to add complexity, but to build useful, verifiable and sustainable systems.
Who this approach is for
SMEs that want to improve productivity
For companies that want to reduce repetitive tasks, speed up processes and work with more continuity.
Organizations with sensitive data
For those who need control, more governable architectures or on-premise solutions with a privacy-first approach.
Teams that want to adopt AI without chaos
For companies that do not want to collect useless tools, but build a sustainable and useful system.
If your goal is not to show off with AI but to use it to work better, you are in the right place.
FAQ
I can develop agents for operations, content, documents, analysis, reporting, decision support, newsletters, internal knowledge bases and other custom cases.
Not necessarily. In many cases we start from tools already present, such as Google Workspace, internal documents, email, sheets or databases.
No. Depending on the case, we can work in the cloud or on premise for greater data control, installing the infrastructure on local servers or private clouds.
Yes. In addition to development, I can create training paths to help managers and teams use AI more autonomously and concretely, understanding its logic and tools.
Yes. The goal is to make tools easily accessible through a web browser, without depending on special or expensive machines on the end-user side.
Yes. I can design systems that integrate smoothly with the Google Workspace ecosystem (Drive, Docs, Sheets, Gmail) through APIs and MCP protocols.
Do you have an operational problem to solve or want to understand where AI can really help your company?
Briefly write what you want to improve. I can help you understand whether you need a custom agent, an integrated system or a training path for your team.