AMAI is a competent partner for AI integration
AI in Finance
Use data intelligently: Shaping change in the financial sector with AI
Whether it is customer behavior in online banking, credit risks or fraud prevention, the financial sector is faced with the challenge of evaluating data faster and more intelligently. With artificial intelligence, we help banks and financial service providers automate processes, better protect risks and provide personalized services, in line with regulatory requirements.
Real Results
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Real Results
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What is possible with AI: Opportunities for banks and financial service providers
Increasing competitive pressure, growing volumes of data and increasing customer expectations require new solutions. Artificial intelligence offers much more than just automation, because it is a strategic lever for efficiency, safety and growth.
Using AI to create targeted added value in the financial sector:
- Risk and credit assessment with machine learning
- Intelligent transaction analysis & fraud detection
- Automated onboarding & document classification
- Product recommendations & customer segmentation via AI
- forecasts of portfolio and market developments
Real Results
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Real Results
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Our expertise for your AI initiative: Regulatory-safe, technically sound
As a specialized AI consulting and development company, AMAI focuses exclusively on AI projects. This ranges from strategy and modelling to production-ready implementation. Our strength: We combine technological expertise with a profound understanding of scalability, integration and regulatory requirements.
Especially in sensitive financial environments, it is crucial that AI is comprehensible, auditable and used securely. Here, we rely on explainable models, GDPR-compliant processes and close coordination with IT and specialist departments.
What to expect with AMAI as a partner:
- Focus on explainable, trustworthy artificial intelligence
- Individual development & production-ready deployment of AI models
- Technological integration expertise (APIs, data architectures, system connections)
- Orientation to GDPR, ISO 27001, EBA guidelines and best practices in using AI
Use cases: Examples of how you can use AI in your company
Search legal texts
Search engines that have been optimized with ML (Machine Learning) make it easier to search, for example, a large number of legal documents.
Identifying fraud patterns
Use machine learning to identify fraudulent and abnormal financial behavior, and/or use AI to improve overall compliance issues and workflows.
Debt collection
Using artificial intelligence to ensure a compliant and efficient collection process
Robo advice
A chatbot can answer many questions and help users keep an eye on their finances. From past user behavior, it is also possible to learn which offers specific user groups are particularly appealing to. Individual offers can be created for each customer using robo-advice.
Credit scoring
Financial risk scoring
Comparing document content
By intelligently comparing documents, similarities and differences are highlighted.
Insurance (InsurTech)
Machine learning is used to offer optimal pricing, effectively manage receivables, and improve customer satisfaction while reducing costs.
sales agent
Let working, intelligent, self-improving bots make initial connections with leads 24/7. High-quality, responsive leads are called by live agents and increase sales effectiveness.
Our process model: This is how we move your AI initiative forward.
As a pure AI consulting and development company, we focus exclusively on AI projects. Our four-stage process model offers you maximum orientation from strategy to production-ready implementation. You don't have to go through all steps: We start right where you are and reliably bring your AI initiative to the next level.
AI Strategy
Right from the start: Your AI Strategy with substance
Before individual use cases are developed and evaluated, we work with you to define your company's overall AI strategy. In doing so, we define goals, fields of action, governance objectives and long-term development directions. This creates clarity, focus and priorities and forms the basis for all next steps, from use case workshops to implementation.
AI Integration
From code to production systems: We're bringing AI to the streets
With proven components, proven infrastructure and close coordination with your team, we efficiently put your AI solution into productive use. Real transfer of knowledge is taking place continuously.
✔ No prototype without a plan.
✔ No project has no effect.
✔ No effort without results.
Case studies: Successfully implemented AI projects
Real Results
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Real Results
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AMAI — Your Guide to AI Expertise from Strategy to Code.
About AMAI: What sets us apart!
We are not a generalist with an AI connection — we are AI specialists with implementation experience. It is precisely this concentration that brings speed, quality and impact to our customers.
Jürgen Stumpp
Managing Director, AMAI GmbH
Tools & partners
Our areas of expertise
AI use case identification & evaluation
AI business cases & roadmaps
Model development & ML engineering
System integration & productive implementation
Productivity, Scaling & Enablement
Explainability & responsible AI
15
+
years of experience in AI development
50
+
realized AI projects
100
%
specializing in AI projects
