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Insights from Vector Space

Insights, scenarios and models to help you understand how artificial intelligence
is transforming the way organisations work.

MCP, the standard connecting AI models to enterprise data

The Model Context Protocol is the emerging standard that allows LLMs to access external data and tools in a standardized way. What it is, how it works, and why major vendors are already adopting it.

Italian nutraceutical market: EUR 4.5 billion and a pharmacy channel that holds

Federsalus 2024: the Italian supplements market is worth EUR 4.5 billion in 2023, first in Europe with 26% of continental turnover. 78% of sales remain in pharmacies, but e-commerce grew 16% in 2024, surpassing one billion. Amazon opened a physical para-pharmacy in Milan. Consolidation has begun.

RAG reduces AI model hallucinations

Retrieval-augmented generation anchors LLMs to verified sources, reduces hallucinations, and enables AI to respond with real, up-to-date data. How it works and why it has become the standard for enterprise AI applications.

Four GenAI skills every worker must master

Gartner has identified the four generative AI skills workers need to develop in 2025: recognizing use cases, understanding the technology, writing effective prompts, and evaluating results. A practical guide for CIOs and HR leaders.

Next Best Action for the medical representative: is 2026 really the year?

Veeva put AI Agents for Vault CRM into production on December 3, 2025; Salesforce launched Agentforce Life Sciences on October 11, 2025. For the first time, the two most widely used pharma CRMs have native contextual recommendation. Aktana cites +14% in sales for reps who accept the suggestions, but the adoption threshold remains the constraint. And in Italy, without prescription data at the individual physician level, the architecture changes.

How to write prompts that produce useful results

Prompt engineering is the skill that separates those who get real results from AI from those who get generic outputs. How the Gartner ReFLECT framework works and why prompt quality changes everything.

AI drug discovery in 2026: between promise and production

BCG counted 73 AI-derived molecules in clinical pipelines, but success rates collapse from 80-90% in Phase I to around 40% in Phase II. Insilico Medicine's rentosertib is the first entirely AI-designed molecule to show an efficacy signal in Phase IIa, published in Nature Medicine in June 2025. An honest 2026 map: what works, what doesn't, what is changing in Europe.

Managers and employees don’t use AI the same way

Managers who use AI daily are 3.6 times more productive than their peers. Employees, on the other hand, receive no guidance or support. The AI productivity gap is not a technology problem.

Putting AI on the org chart is a costly mistake

Organizations that place AI agents on the org chart see 15% lower employee engagement. Gartner data on why treating AI as a colleague is a counterproductive strategy.

Your company wants to create a digital copy of you

By 2028, at least one major company will claim the right to create and maintain AI avatars of all its employees. What they are, how they work, and why employment contracts are not yet ready.

Pharma CRM in 2026: the duopoly has broken

For fifteen years Veeva has held roughly 80% of the life sciences CRM market. Since October 2025 Salesforce Life Sciences Cloud has been in production and has already signed AstraZeneca, Novartis and Chiesi. Legacy Veeva CRM on Salesforce reaches end of support on December 31, 2029. For the first time in fifteen years, choosing a pharma CRM is genuinely a choice.

Without AI governance, companies face serious risk

By 2027, AI governance becomes a regulatory requirement. What AI governance means, how to build an effective framework, and why those who do not prepare today will find themselves in trouble.

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Available Conversation Modes
The way conversations are handled depends on the level of human involvement and AI integration. Below are the available options, ranging from purely manual control to fully automated solutions, including various hybrid and AI-assisted approaches.
Full Human Managed
Conversations are managed entirely by a human operator, from creation to resolution.
AI-Enhanced Managed
Conversations are guided by pre-coded, navigable procedures powered by intent detection.
Full AI Managed
Conversations are handled end-to-end by the virtual agent.
AI Hybrid Mode
Conversations are managed using a hybrid approach, combining automated response generation with intent-based navigation for configured flow segments.
AI / Human Managed
Conversations are managed in a hybrid mode, with the capability to perform a seamless handoff to a human agent triggered by specific intent detection.