Automation of leasing processes in the banking channel
Leasing application process was enabled directly from the banking app. Fast authentication was implemented, and…
Leasing process automation: over 70% of cases handled automatically
OUTCOMES
What did the leasing provider achieve?
From 7 days to less
than 24 hours
Processing time was reduced from 5–7 days to less than 12 hours, significantly improving turnaround time in the banking channel.
Over 70% of cases
handled automatically
More than 70% of cases were processed automatically, reducing manual intervention and increasing execution consistency.
60% faster launch
of new financial products
The time needed to introduce new financial products was reduced by 60%, helping the organization respond faster to business demand.
PROJECT
Why did the leasing provider decide to automate its banking channel?
A leading leasing provider set out to modernize execution within the banking channel as part of a broader transformation initiative. The organization needed to move away from a process heavily dependent on manual handling and create a faster, more controllable way of processing financing applications.
The priority was not only to improve speed, but also to increase automation, reduce operational effort and build a more efficient model for handling growing volumes. The new approach had to work within the existing banking environment and support future product expansion.
PROJECT TIME
8 months
INDUSTRY
Leasing, Banking
COUNTRY
Poland
SERVICES AND SOLUTIONS
The client
Who have we helped?
Our client is a leading leasing provider offering financing solutions to retail and corporate customers. The organization operates across banking, digital and partner channels, with a strong focus on execution speed, operational efficiency and process reliability.
REQUIREMENTS
Business Challenges
- Too much manual handling
A large share of the process depended on manual intervention, which slowed execution and increased operational effort. - Slow turnaround in the banking channel
Decision-making and approval cycles took too long, limiting the organization’s ability to process applications quickly and consistently. - Limited process consistency
The lack of orchestration and automation made execution less predictable and harder to manage at scale. - High operating costs
Manual effort translated into higher operational costs and reduced the team’s capacity to absorb higher volumes. - Slow rollout of new products
Launching new financial products and adapting process logic to business needs took too long.
ACTIONS
How was the leasing process automated, step by step?
The first step was to review the existing leasing flow and identify where manual handling, fragmented handoffs and process delays had the biggest operational impact. This created a clear baseline for redesigning execution within the banking channel.
SOLUTION
Scope and delivery model
Altkom Software deployed Altkom Loan Origination (ALO) to automate execution of the leasing process within the banking channel and create a faster, more efficient operating model.
The solution supported the process end to end, from application submission to contract completion, while combining rule-driven decisioning, workflow automation, integration with core and supporting systems, and real-time visibility into process performance. This reduced manual effort, strengthened process control and improved throughput across the operation.
As a result, the client reduced leasing decision time by 50%, shortened processing time from 5–7 days to less than 12 hours, automated over 70% of cases, lowered operational costs by 25%, increased processed applications by 55% and improved conversion by 15%. Growth in digital channel sales reached 40%, and time-to-market for new financial products was reduced by 60%.
The transformation gave the organization a more automated and efficient way of executing financing processes in the banking channel. It improved turnaround time, reduced operating effort and increased the ability to handl.
FAQ
What customers ask most often?
In this project, more than 70% of cases in the banking channel were processed automatically, reducing manual intervention and improving execution consistency. The achievable level of automation will vary between organisations depending on factors such as process complexity, decision rules, data quality, exception handling and integration with existing systems.