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7 AI tools compared in English: Infranity (Generali) gets its finance teams up to speed
AI finance training: Infranity (Generali Investments) trains its teams in English over 2 half-days on generative AI, prompting and specialised tools.

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AI Sisters designed for Infranity, a European asset manager specializing in infrastructure debt and equity affiliated with Generali Investments (over 11 billion euros in AUM), an AI finance training in English over two half-days.
On the agenda : acculturation to generative AI, the art of prompting, advanced techniques, and specialized tools, all tailored for an institutional asset manager working natively in English.
This AI training for finance established a common foundation of robust methods within a regulated and internationalized environment.
Acculturating an institutional asset manager to generative AI in English
Infranity's teams operate daily in an environment combining high analytical density, a demand for precision, and internationalization: significant document volume, strict reporting standards, institutional confidentiality constraints, multilingualism, and a constantly evolving regulatory framework (AMF, CSSF, SFDR, GDPR).
These are all environments where generative AI can save time, provided the right method and tools are in place.
Demanding institutional environment
Significant document volume, strict reporting standards, maximum confidentiality. No room for approximation.
Multilingualism and working in English
A team that works natively in English. The training had to be delivered in this language, using institutional finance vocabulary.
Evolving regulatory framework
AMF, CSSF, SFDR, GDPR: an environment where every AI application must be designed with compliance in mind.
Choosing the right tool for the data
Knowing how to select the appropriate AI tool based on the sensitivity of the data processed. This is one of the key reflexes integrated into the training.
Does your investment fund face the same challenges?
High document volume, demanding analytics, strict regulatory framework. Let's talk.






Our program: Two half-day AI Showcases in English
A two-part format, spaced eight days apart to allow participants time to test the tools between sessions and return with their own questions. Content fully adapted to the culture and demanding standards of an institutional asset manager.
Session 1 - Fundamentals and the Art of Prompting
Difference between AI and Generative AI, how LLMs (Large Language Models) work, market overview, and the 6-step perfect prompt method, a universally applicable framework.
ChatGPT - Claude - Gemini - Mistral - LLaMA - Grok - DeepSeek
8-day interval for testing
Between the two sessions, participants test the tools in their daily work and return with their own questions and use cases.
Session 2 - Advanced techniques and specialist tools
Stepping up to the techniques that make the difference in a demanding professional setting: Chain of Thought, Prompt Chaining, Least-to-Most Prompting, Tree of Thoughts, Few-shot learning, Reverse Prompting and APE (Auto Prompt Engineering). The use cases are organised into business tracks (sector intelligence, document analysis, data processing, compliance, administrative efficiency), each offered at three levels of increasing complexity.
100% English Training
Tailored for Infranity's native culture, with institutional finance vocabulary and examples adapted to the infrastructure world.
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Looking to accelerate AI adoption across your teams?
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AI use cases in infrastructure asset management
These are the practices adopted by the Infranity teams after the training.

Financial document analysis
→ Save time on analyzing large financial documents
→ Extracting key elements from complex deals
Structured Investment Reasoning
→ Structure an investment approach using the 6-step perfect prompt method
→ Universally applicable framework for rigorous deliverables
Material Production
→ Generate a presentation in minutes
→ Rephrasing and formatting documents for various audiences
Methodical selection of AI tools
→ Choosing the right AI tool based on data sensitivity
→ Overview of market LLMs: ChatGPT, Claude, Gemini, Mistral, LLaMA, Grok, DeepSeek
Results of the Infranity AI training
Before and after the session


Before: A demanding team that works in English. Dense documents, confidentiality, shifting regulation: AI can save time, provided you have the right method and the right tools.
With AI Sisters: A shared set of methods, in English. Two half-days, eight days apart: fundamentals and prompting, then advanced techniques in business tracks. Seven tools presented and compared.
half-days of training100% in English
common foundation of AI best practices
generative AI tools presented and compared
trained employees
Ready to equip your analysts with the right AI reflexes within a compliant framework?
Let's discuss your project.
Got it. An AI Sisters expert will email you to plan your AI training.
Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.
An expert will reply to scope your AI training, with no commitment.






Infranity is a European asset manager specializing in infrastructure debt and equity, affiliated with Generali Investments.
Founded in 2018 by Philippe Benaroya, Alban de La Selle, and Gilles Lengaigne, the fund manages over 11 billion euros in assets and has established itself as one of the European leaders in sustainable infrastructure investment.
Core/Core+ positioning, a discipline focused on essential assets (energy transition, green mobility, digital infra, social infra), and ESG requirements rooted in SFDR standards.
A programme built around your roles and your tools, pre-audit included.
Got it. An AI Sisters expert will email you to plan your AI training.
Your email didn't go through. Check the address, or write to us at contact@aisisters.ai.
An expert will reply to scope your AI training, with no commitment.

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“A very dynamic, practical day, perfectly suited to our challenges. The teams came away with tools and ideas to put into practice the very next day.”

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