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Fin’sAIght – AI Adoption & Cultural Transformation in FinanceA CFO-sponsored initiative focused on empowering global finance teams to confidently embrace AI and automation.
Fin’sAIght is a transformation initiative designed to accelerate the adoption of AI, GenAI, and automation across Finance. Launched in 2024 and sponsored by the CFO, the program brings together a transversal Core Team covering all Finance departments worldwide, ensuring alignment, governance, and deployment of high value use cases.
As Change Manager of the initiative, my role is to structure and steer the human centric adoption strategy that enables Finance teams to embrace these technologies with confidence, clarity, and measurable impact. This includes deep coordination with Fin’sAIght Referents—our network of facilitators embedded in each Finance department—to relay communication, upskill users and surface business needs.Fin’sAIght is already delivering tangible value with some use cases deployed by end 2025, including automated PowerPoint generation for financial analysis, a GenAI assistant streamlining product evaluation workflows and a centralized portal giving users unified access to all AI tools, etc. These solutions directly reduce manual workload, shorten analysis cycles, improve data consistency, and enhance decision making quality.
My change management contribution focuses on three pillars
1. Adoption readiness – training pathways on ready-to-use internal tools, business use cases and Copilot, referent enablement, communication campaigns, and user surveys to capture expectations.
2. Safe and scalable usage – guidelines on GenAI best practices, safety rules, and targeted support through MAIA (= enterprise ChatGPT) and use cases hands-on sessions, team workshops.
3. Measurable impact – tracking adoption analytics, aligning use cases to business priorities, and ensuring Finance obtains operational ROI from Automation and GenAI. Fin’sAIght is not only a technology program—it is a cultural shift. By bridging innovation and pedagogy, we equip Finance teams with the capabilities to work smarter in a rapidly evolving environment.
Finance teams today face a structural challenge: increasing volumes of data, tighter reporting deadlines, and growing expectations for accuracy —while operating with limited time and tools. Much of their workload still depends on manual processes: preparing financial analyses, reviewing large documents, performing controls, or searching for information across multiple systems. These tasks consume hours, generate inconsistencies, and slow down decision making.
Fin’sAIght was created to solve this productivity bottleneck by introducing AI, Generative AI, and automation directly into the finance workflow. But the real client problem is not only technological—it is human. Without guidance, upskilling, and a clear framework, teams struggle to understand how AI can help them, how to use it safely, and where it delivers concrete value.Our project addresses this dual challenge through a structured, human centered change management approach. We help Finance teams adopt AI with confidence by providing training, practical demos, communication campaigns, and a network of embedded Referents who relay needs, surface pain points, and support day to day usage. Through this model, users quickly understand how AI transforms their work and where it creates measurable gains.
The impact is tangible: automated slide production, streamlined analytical reviews, accelerated document translation, enhanced data exploration, and chatbot based knowledge management. These solutions reduce manual workload, shorten analysis cycles, and improve consistency—turning recurring multi hour tasks into minutes, freeing time for higher value activities.
Here are some examples of the AI Solutions adressing business-relared needs or generic ones.
1. Generation of quarterly Board level Presentations The tool connects to internal data sources (e.g., quarterly indicators, financial statements, economis research, etc), processes them through an LLM based summarization engine, and produces fully formatted slides aligned with the corporate graphic charter. It includes :
• Automated ingestion of Excel outputs
• Narrative generation via LLM prompts tuned for Finance commentary
• Slide creation pipeline (templating, charts, layout rendering)
• User controlled adjustments via natural language refinement through a chatbot
2. Automated New Products and Activities AnalysisThe solution supports regulatory and product evaluation workflows by generating an assesslebt of the new product or activity regarding blueprint requirements and automates the generation of departments opinion. It relies on:
• Automation of opinion production based on documents submitted for each department
• Automation of comparison to blueprints
• Chatbot interaction with users to reformulate content
3. Multi Format AI Translation Engine (generic use case)The tool is an enterprise grade document translation tool supporting Word and PowerPoint files while preserving formatting and structure. It uses an LLM translation model combined with:
• Glossary based terminology control
• Automated layout preservation (tables, charts, objects)
• Multi language support with prompt optimization for Finance vocabulary
- 9 use cases deployed in production by the end of 2025
- More than 500 team members trained to AI enterprise chatbot between 2025 & 2026
- More than 80% of Finance staff engaging with Generative AI in their daily habits
- Copilot : productivity gains from 20-30% per week
- 30 AI Champions engaged worldwide in adoption and training actions and framing of use casesI should win this award because my project demonstrates how generative.
AI can create real, measurable impact when adoption is approached through a human‑centered, community‑driven strategy. Rather than focusing only on technology, I focus on people — their needs, their barriers, and their ability to transform the way a Finance organization works.At Natixis, I designed and led a sustainable GenAI adoption program for Finance teams, built around three pillars: A strong network of empowered reference usersI created and animated a community of engaged freelancers and internal ambassadors (via Malt) who test, challenge, and scale use cases. This community is now a strategic asset, accelerating adoption and creating cross‑team alignment.
Concrete, high‑value use casesI support teams in identifying, prioritizing, and implementing use cases that bring immediate value while building long‑term capability. This hands‑on approach strengthens trust in GenAI and removes resistance.Tailored change strategies for lasting impactI design custom communication, training, and support plans to ensure that GenAI becomes part of daily work habits — not a one‑time experiment. My approach transforms curiosity into real operational efficiency.What makes this project stand out is its scalability and its replicability: it provides a model that any Finance organization can adopt to make GenAI accessible, safe, and meaningful for employees.
This award would recognize a project where technology meets people, where freelancers and internal teams collaborate to deliver a new way of working, and where GenAI becomes a lever for long‑term transformation — not just a trend.
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