AI Bank Masterclass — Transforming the credit lifecycle with Data and AI
Credit processes still remain largely manual, fragmented and poorly industrialized in many financial institutions today. This masterclass offers a concrete approach to understand how data and artificial intelligence make it possible to optimize, automate and make the entire credit life cycle more reliable, from origination to collection. Through real use cases, demonstrations and collaborative workshops, participants move from understanding to action., through demonstrations, guided workshops and business use cases, while integrating governance and security issues.
What you are going to learn
- Give a clear and pragmatic understanding of AI (beyond fashion trends)
- Highlighting the current limits of credit processes in banking institutions
- Show, through concrete cases, how data and AI are already transforming these processes
- Allow participants to identify opportunities that are immediately applicable in their organization
- Engaging collective reflection on real problems in the field
Transforming credit processes concretely thanks to data and AI
Faced with increased regulatory requirements, long processing times, and a dependence on manual tools, credit processes need to evolve. Data and AI offer powerful levers to improve operational performance, reduce risks and accelerate decision-making. This masterclass offers a pragmatic approach, focused on use cases, to quickly identify concrete and actionable areas of transformation., allowing participants to understand how AI fits into Alteryx, what use cases are actually activatable, and how to structure responsible governance of AI uses.
What profiles is the training aimed at
Credit, risk, and finance functions involved in the credit life cycle
Operations functions (lending, payments, collection)
Data, AI, IT and transformation profiles
Tier 1 to Tier 4 banks: Paris & regions
Speakers
The masterclass is led by experts in data, analytics and artificial intelligence from Prime Analytics and QuickSort, who regularly work on transformation projects within financial institutions. They share real cases, concrete demonstrations and feedback directly from the field., regularly working on data, analytics and AI projects with Bank, Insurance and large group clients. They share real demonstrations, project feedback and best practices from the field.
Skander MEZGHANI
CEO & Co-Founder of Prime Analytics
Specialized in advanced analytics and the deployment of artificial intelligence solutions, with a strong expertise in business issues in finance, banking and insurance.
Mohamed Ahmednah
CTO & Founder of QuickSort
Extensive expertise in artificial intelligence systems and enterprise software architecture
The strengths
- 100% function approach (credit, risk, operations)
- Real use cases from the banking sector
- Demonstration and hands-on of an AI solution (Credit Memo)
- Collaborative workshop on your own problems
- Identification of use cases that can be activated immediately
- Interactive format promoting peer exchange
Training program
09:00 - 09:30 — Welcome & breakfast
09:30 - 09:50 — Introduction & framing
- Objectives of the day
- Current banking sector context
- Why credit transformation is a priority issue
09:50 - 10:30 — Demystifying AI: understanding the fundamentals
- What is AI in concrete terms?
- Difference between automation, analytics and AI generative AI vs “classical” AI
- What AI can do today... and what it can't do
- Conditions for success: data, processes, organization
10:30 - 11:00 — Overview: the current limits of credit processes
- Credit life cycle mapping (end‑to‑end)
- Dependence on manual tools (Excel, non-industrialized treatments)
- Lack of traceability and reliability
- Processing times and operational inefficiency
- Operational and regulatory risks
11:00 - 11:20 — Break
11:20 - 11:50 — Presentation & demonstration of the Credit Memo use case
11:50 - 12:30 — Hands‑on Credit Memo
12:30 - 14:00 — Lunch
14:00 - 14:40 — Collaborative workshop: identifying your use cases
- Identification of participants' current problems
- Sharing bread points Collective brainstorming
- Qualification of use cases (feasibility, impact, priority)
- First paths of transformation
- Selection of 3 use cases that will be developed live
14:40 - 16:10 — Rapid development of 3 use cases | AI‑powered Development
16:10 - 16:20 — Break
16:20 - 17:20 — Restitution of the various solutions developed
17:20 - 17:30 — Conclusion & next steps
- Summary of key messages
- How to concretely initiate an approach in your organization
- Prospects for further development
17:30 - 19:00 — Reception & discussion over a drink
We will get back to you as soon as possible.
Please try again or contact us at contact@primeanalytics.fr.