
Client: Provider of low-code/no-code (LCNC) platforms for fintech workflow automation and orchestration
Industry: Fintech
Scope: Architecture design and end-to-end product development
Key technologies: AI/ML, TensorFlow, Apache Spark, Google Cloud Platform (GCP), Grafana, Kibana
Challenge
The client needed a SaaS platform for lenders and credit providers that could automate complex financial workflows and meet the demands of enterprise financial services.
To achieve this, the platform needed to:
- Support advanced Business Process Management (BPM).
- Use AI and ML to improve decisioning and scoring.
- Scale reliably in a cloud environment.
- Comply with financial-sector standards, including PSD2 and GDPR.
- Integrate with third-party risk assessment and verification services.
Tackling a similar challenge in your fintech or lending business?
Solution
Neontri engineered a scalable SaaS platform for the lending and credit sector, centered on an AI-powered decisioning and scoring engine.
The architecture connected data processing, AI/ML components, monitoring, data warehousing, and third-party integrations through a central data stream.

The AI-powered decisioning platform was built around five capabilities:
- Intelligent automation: Leverages an AI/ML core to automate scoring and complex decision-making processes.
- Low-code workflow orchestration: Empowers non-technical users to build and modify business processes without IT intervention.
- Scalable cloud-native architecture: Built for high performance and reliability, allowing the business to scale efficiently.
- Robust security: Designed with a security-first approach to ensure full compliance with GDPR and PSD2 regulations.
- Third-party integrations: Connects with risk assessment and borrower verification services.
Delivery approach
Neontri took full responsibility for the entire product development lifecycle, from architecture and technical design to market-ready delivery. Here is how the client described the project:
“The two most impressive elements of our cooperation are their strong technical expertise and reliable delivery. Their development process is outstanding; they set the right priorities at the right time, and their lean methodology works well for bringing innovative ideas to life.”
– CEO, technology company
Results
The impact was clear on two levels: a stronger commercial foundation for our client and measurable efficiency gains for companies using the product.
For our client:
- The platform has been adopted by four enterprise customers, supporting the company’s international expansion strategy.
- It automates processes that previously required manual intervention or external support.
- It supports a scalable model extending beyond fintech into insurance, telecoms, and debt collection.
- Its low-code functionality allows non-technical users to update processes in near real time, reducing IT dependency and freeing teams to focus on business development.
For enterprise customers:
- 78% lower IT development costs for new platform features.
- 80% reduction in ongoing maintenance spend.
- 51% decrease in infrastructure overhead through cloud optimization.
Ready to build your own decisioning platform?
Work with engineers who have delivered production-ready AI and fintech platforms at enterprise scale.
Our process for strategic partnership
- 01
Discovery
Business objectives, technical requirements, and operational priorities are assessed to define a clear delivery strategy and project roadmap.
- 02
Design
A secure, scalable solution architecture is developed to support current requirements, future growth, and long-term technology objectives.
- 03
Development
The platform is engineered using proven technologies, modern development practices, and rigorous quality standards.
- 04
Testing
Comprehensive testing verifies performance, security, reliability, and regulatory compliance across the solution.
- 05
Deployment
The production-ready platform is deployed through a controlled release process, ensuring operational continuity and a smooth transition for users.