Webita AI

Webita AI: AI for business with an operational approach

Webita AI helps companies and SMEs adopt artificial intelligence in a practical, sustainable and results-driven way. Not just theory, but real use cases, clear roadmaps and business AI implementation.

I work on AI chatbots for companies, workflow automation, AI for business marketing and systems that reduce repetitive tasks, improve service quality and help generate more customers and opportunities.

If you are looking for an AI consultant for companies who can turn innovation into real business processes, you will find a practical, measurable and tailored approach here.

How to use AI in business with Webita AI

Webita AI combines strategic consulting, process analysis and artificial intelligence tools to build AI solutions for business that can really be applied: automations, AI assistants, content workflows, sales support and internal operations.

The goal is to bring AI into the company with clear priorities, realistic timing and AI automation examples that improve efficiency, speed up operations and enhance the customer experience.

AI chatbots for companies

I design AI chatbots for companies to support customer care, lead qualification, FAQs, sales assistance and internal support.

Custom AI solutions

Every business AI implementation starts from your goals: faster workflows, better use of data, more customers or smarter request management.

AI for business marketing

I use AI to support content production, commercial assistance, email workflows, proposals and editorial systems with human control and strategic direction.

AI automation examples

Tailored workflows to manage requests, classify leads, speed up repetitive activities and create more efficient processes for marketing, sales and operations teams.

* Campi obbligatori

Why choose Webita AI?

Using AI for business requires a concrete guide: understanding where AI creates real value, which workflows to automate and how to integrate tools and people without adding unnecessary complexity.

With Webita AI you get artificial intelligence consulting, prioritization, implementation and support on real use cases such as AI chatbots for companies, operational automations and AI for business marketing.

Get in touch to evaluate how to use AI in your company with a gradual, measurable path aligned with budget, goals and team capabilities.

Who I am

Giorgio Sanna

I’m Giorgio Sanna, digital strategist and SEO consultant. 10+ years in organic growth, lead generation and marketing automation. Founder of Webita since 2018.

Visit my LinkedIn profile

Certifications

Machine Learning and AI with Python

HarvardX (edX)

Sep 2025

Claude Code in Action

Anthropic

Jul 2025

Gemini in Gmail

Google

May 2024

Introduction to Responsible AI

Google

May 2024

Introduction to Large Language Models

Google

May 2024

Introduction to Generative AI

Google

May 2024

Technical SEO

LinkedIn

Mar 2023

Digital Marketing Foundations

LinkedIn

Mar 2023

Writing in Plain Language

LinkedIn

Mar 2023

Advanced Google Analytics

Google

Jan 2020

Google Shopping Ads Certification

Google

Jan 2021

Master in Social Media and Digital Marketing

Europa Business School - Inspiring Education

Mar 2019

Guida e approfondimenti sull'intelligenza artificiale

AI consulting for companies and operational implementation

Artificial intelligence consulting starts with a workflow audit to understand where AI can reduce time, improve efficiency and support lead generation, customer service and business decisions.

From the initial evaluation to go-live, I define a practical business AI implementation roadmap with priorities, tools, testing and team enablement.

1

Audit of business workflows and highest-impact AI opportunities

2

Definition of real use cases: AI chatbots, automation, marketing and customer support

3

Business AI implementation and integration with existing tools and workflows

4

Team training, testing and continuous optimization

Benefits of AI for companies and SMEs

AI solutions for SMEs and companies improve speed, quality and decision-making. When applied well, they reduce repetitive tasks, help win more customers and make business marketing more effective.

Operational cost reduction up to 40%
Efficiency increase up to 60%
Better customer experience and lead management
Automation of repetitive workflows and internal operations

Real AI integration examples

Webita Chat - SaaS Platform

Webita Chat - SaaS Platform

Type: native AI chatbot and SaaS platform
Technology: Next.js, OpenAI, configurable context
Goal: provide an AI chatbot for companies with advanced context, custom knowledge and operational integrations.
Result: native AI assistant designed for lead generation, support, FAQs and tailored conversational automation.
View project
TrainGen - AI Fitness Platform

TrainGen - AI Fitness Platform

Type: digital product with vertical AI logic
Technology: Next.js, Base RAG, vector databases
Goal: build an AI system trained for selection logic, specialized context and suggestions aligned with the user profile.
Result: AI integration based on Base RAG and vector databases to handle matching, context retrieval and more relevant answers.

FAQ - AI for business

How can companies use AI without adding unnecessary complexity?

The process starts from the highest-impact workflows: customer support, lead handling, repetitive tasks, content and operational automation. The goal is not to stack tools, but to integrate AI where it creates real efficiency.

What kind of AI integrations can you build?

I can design AI chatbots for companies, marketing automations, internal assistants, lead qualification workflows, systems with advanced context, Base RAG and vector databases for retrieval and selection logic.

Is AI also suitable for SMEs and smaller companies?

Yes. AI solutions for SMEs can start from practical and sustainable use cases, with gradual investments focused on productivity, service quality, speed and commercial support.

How customizable is an AI chatbot for companies?

Very customizable. The chatbot can be configured with dedicated context, documents, FAQs, tone of voice, response rules, external integrations and different logic depending on the team or request type.