Transforming Debt Collection with AI-Powered Automation
Lekta, a startup specializing in NLP-based solutions, sought to revolutionize debt collection by transitioning from semi-automatic voice bots to a fully automated SaaS platform. This platform aimed to reduce call center costs by 30-50%.
Insurance companies, banks, and telecoms manage numerous customers with outstanding payments, requiring consultants to make approximately 100 repetitive calls daily while manually documenting each interaction. This manual debt collection process was not only time-consuming but created considerable employee turnover due to high stress levels and monotonous work. These conditions resulted in substantial recruitment and training costs for companies.
To address these challenges, we provided Lekta with end-to-end support — from product design to MVP development — delivering a robust solution in just four months.
Key challenges
Laying the foundation for an innovative SaaS AI platform.
The project began with strategic product design workshops to refine the vision and roadmap. Within just four months, we developed the Minimum Viable Product (MVP), laying the groundwork for full automation.
We began with a series of workshops to align on the project’s vision and assumptions. Lekta’s representative played a pivotal role in defining how the app would be used.
After presenting the roadmap to Lekta’s technical board, we received approval to proceed with development.
Over several weeks, we crafted a project roadmap outlining milestones and goals for the next six months. This included user stories and an architecture scheme, ensuring transparency throughout the development process.
Iterative work kept Lekta informed due to fortnightly demonstrations of our work.
We completed the MVP within four months, enabling Lekta to transition to full automation.
We began with a series of workshops to align on the project’s vision and assumptions. Lekta’s representative played a pivotal role in defining how the app would be used.
Over several weeks, we crafted a project roadmap outlining milestones and goals for the next six months. This included user stories and an architecture scheme, ensuring transparency throughout the development process.
After presenting the roadmap to Lekta’s technical board, we received approval to proceed with development.
Iterative work kept Lekta informed due to fortnightly demonstrations of our work.
We completed the MVP within four months, enabling Lekta to transition to full automation.
Comprehensive Analytics
All interactions are recorded and analysed, providing management with clear reports.
Self-Service Onboarding
Clients can onboard and set up their debt collection strategy independently.
Automated Campaign Management
Upload debtor data and launch campaigns effortlessly.
A fully automated debt collection process that any company can independently configure.
By combining meticulous software craftsmanship with AI-powered application development, we empowered Lekta to redefine operational efficiency in the financial sector.
cost reduction
availability
of data collected and analysed
stress reduction among consultants
cost reduction
of data collected and analysed
stress reduction among consultants
availability
Technology stack
This was something! The number of integrations was impressive, which impacted the architecture a lot. To me, it was also a great chance to see how AI models can be used to foster innovation and cut down the cost and operations time in business.
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