Applied AI
What our
AI agency delivers
We build artificial intelligence solutions that actually work inside the company: agents that dialogue with your systems, copilots that respond to your people, automations that do measurable things. Models chosen on the use case (OpenAI, Anthropic Claude, open-source models), integration with CRM/ERP/business tools, code in production monitored and maintained.
Solution types
Which AI solution
is right for you?
Chatbot, virtual assistant, custom AI programming or business process and task optimization: every problem has its shape. The choice depends on who uses the AI (external customer, internal team, system), the required customization level, integration with your systems.
Customer-facing · Lead · Support
Chatbots
Chatbots for your end customers: 24/7 support, lead qualification, pre-sales, dynamic FAQs connected to your catalogue. On web, WhatsApp, Telegram, Messenger. Instant replies with your brand voice.
What's includedInternal team · Copilot · Productivity
Virtual assistants
AI assistants for your people: drafting quotes, document analysis, semantic archive search, sales support, content generation. RAG on your real data, security, logging and access control.
What's includedAPI · Custom · Integrations
AI programming
Tailor-made custom development: AI integration into your existing software, proprietary APIs, AI plugins for WordPress/WooCommerce, data pipelines and model orchestration. Your code, maintainable, scalable.
What's includedProcesses · Tasks · Workflow
Business optimization & tasks
Automation of repetitive processes and tasks: email classification, invoice/order reading, PDF data extraction, ticket triage, lead enrichment, document routing. People do high-value work, AI does the rest.
What's includedStack & models
The right models
for your problem.
We're not married to a single provider. For each project we choose the model (or mix) that fits the real use case, the budget and the confidentiality level of your data.
Models chosen for the case
OpenAI GPT-4o for reasoning, Claude Sonnet/Opus for long documents, open-source models (Llama, Mistral) for private deployment. Mix where it makes sense.
Integration with your systems
Connectors to CRM (Salesforce, HubSpot, Pipedrive), business tools (Mexal, Danea, Zucchetti, Fatture in Cloud), ERP, knowledge bases, databases. The AI speaks with your real data.
Private data, on-prem or cloud
Clear trade-off between public cloud (faster, cheaper), private cloud (Azure OpenAI, AWS Bedrock) and self-hosted (Ollama, vLLM) for confidential data. You decide, we build.
Audit · Use case discovery · Strategy
Don't know where to start with AI?
Half-day workshop with your team: we map the processes, identify the 3-5 highest-ROI use cases, evaluate technical feasibility and data availability. You leave with a concrete action plan, not a PowerPoint.
Custom development · API · Dedicated backend
AI integration into existing systems
When custom code is needed: proprietary connectors, custom APIs to legacy systems, data pipelines, dedicated backend to orchestrate models and prompts. Advanced programming to close the gap between AI and business.
What's included
What an AI project
includes
A production AI project is not just "call an LLM". Here are the building blocks we always assemble to avoid the typical failures of AI in business.
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Discovery & use case prioritization
We map real processes, identify where AI gives true ROI vs where it would be a gadget. Use case selection that pays for the project, before writing a line.
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Model selection & architecture
Public cloud (OpenAI, Anthropic), private cloud (Azure OpenAI, AWS Bedrock) or self-hosted (Llama, Mistral via Ollama/vLLM). Trade-offs in performance, cost and confidentiality clear from day-1.
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RAG & vector database
Document indexing, quality embeddings, vector DB (Qdrant, Weaviate, Pinecone). Answers cited with sources, no free hallucinations.
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Integration with CRM, ERP, business tools
Connection to Salesforce, HubSpot, Italian business tools, SQL databases, document systems. Security, audit logs, access control handled.
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Security, logging & compliance
Complete audit log of conversations, per-data access control, prompt injection protection, GDPR-compliance, retention policy. For regulated sectors: customer-controlled encryption keys.
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Monitoring & measurable ROI
Dashboards of real usage, latency, token costs, resolution rate, user satisfaction, ROI calculated on automated processes. AI must prove it works every month.
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Team training & adoption
Hands-on workshops, prompt library for real use cases, survival guides, post-release support. AI only works if people use it the right way.
Investment examples
How much can
an AI project cost
Four indicative examples to give an order of magnitude, based on typical 2026 AI projects. Not a price list: model complexity, data volume, integrations and SLA change the numbers. A discovery call is needed for a realistic quote.
Chatbot
€1,000 – €2,000
Web · WhatsApp · Telegram
Timeline 1-2 weeks
- 1 chatbot for your customers
- Catalogue / FAQ connection
- 1 channel integration
- Brand tone of voice
- Conversation dashboard
- Cookie + GDPR
Virtual assistant
€3,000 – €7,000
Internal copilot + RAG
Timeline 3-6 weeks
- Assistant for your team
- RAG on company documents
- 2 integrations (CRM or business tool)
- Dedicated frontend (web/chat)
- Audit log + user permissions
- Usage dashboard
- Team training
AI programming
€5,000 – €15,000
API · Plugins · Integrations
Timeline 6-8 weeks
- AI integrated into your software
- Custom REST/GraphQL APIs
- AI plugins for WordPress/WooCommerce
- Data pipelines + orchestration
- Multi-model (OpenAI + Claude + open)
- Monitoring & cost dashboard
- Your code, documented
Optimization & tasks
from€8,000
Workflow · Automation · RPA
Timeline 1-2 months
- Repetitive task automation
- Email/order/invoice classification
- PDF data extraction
- Ticket triage + lead enrichment
- Business tool / ERP integration
- Multi-task / multi-channel
- Dedicated SLA after launch
Every AI project is different. Let's talk.
Numbers above are indicative: data volume, integrations, confidentiality and SLA change the investment. Personalized quote within 1 business day.
On request, payment can be split into instalments at no interest.
The AI agent handles 70% of first-line tickets, 24/7, citing our knowledge base. The sales team only follows the hot leads.
Client · B2B SaaS
Talk to us
Have an idea
for using AI?
Tell us what you want AI to do for you — customer support, internal copilot, email automation, document search — we'll tell you right away if it's feasible, with which model and what order of magnitude.
AI Agent · Artificial intelligence
online · instant repliesFrequently asked questions
FAQ about artificial
intelligence for businesses
What does artificial intelligence mean for businesses?
AI for business means generative models (LLMs like OpenAI, Claude) and classic ML integrated with your real systems: CRM, ERP, business tools, knowledge bases. Not generic chat, but solutions that do measurable things.
Which AI models do you use?
OpenAI (GPT-4o, o1) for advanced reasoning, Anthropic Claude (Sonnet, Opus) for long context tasks, open-source models (Llama, Mistral) for private deployment. Often a mix chosen on the use case.
Does our data stay in the company?
Depends on the architecture. Public cloud, private deployments on Azure OpenAI or AWS Bedrock, self-hosted models with Ollama or vLLM. We evaluate trade-offs between performance, cost and confidentiality.
What is RAG semantic search?
RAG (Retrieval Augmented Generation) is semantic search on company documents: the user asks in natural language, the system finds the relevant passages and answers with source citations. No free hallucinations.
Can we start small?
Yes. A measurable proof-of-concept is worth more than a theoretical plan. First release usually 3-6 weeks: support agent, email automation, document classification. From €2,500.
Generative AI or classic automation?
Both. Generative models for agents, copilots, content generation. Classic automation when language generation isn't needed. Often combined in the project.
Can AI integrate with our CRM or ERP?
Yes. We connect AI agents to Salesforce, HubSpot, Italian business tools (Mexal, Danea, Zucchetti), company databases, document systems. Security, audit logs, access control handled properly.
Do you train the team on AI?
Yes, when it makes sense. Part of the value is that people use AI correctly, recognize the limits, know when to step in. Hands-on workshops on real use cases, prompt libraries, survival guides.