
Driving Operational Excellence to Meet Customer Demands in an Era of Instant Payments
6
AUTOMATION DRIVING OPERATIONAL
EXCELLENCE
these significantly slow down investigations
and are not compatible with automation.
Automation can mitigate these issues but
requires investment in both systems and a shift
to standardized structured formats and rule books.
In addition, advanced analytics and artificial
intelligence (AI) can significantly improve payment
data quality and detect unusual behaviors, thereby
enhancing exception management. However,
AI integration must be transparent to ensure
compliance and auditability. While generative AI
tools like ChatGPT hold promise for delivering
valuable analytics and management insights, the
initial focus should be on employing specific AI
systems trained on high-quality data, as poor data
can lead to incorrect conclusions. Furthermore,
even with high-quality data, inherent biases may
persist, posing a significant challenge that the
industry must address.
Overall, the future of handling payment exceptions
lies in the strategic implementation of automation,
AI, and advanced analytics, supported by
standardized rule books, messaging, and reliable
technology partners. This approach will reduce
exceptions, lower operational costs, and improve
overall payment processing efficiency.
In the era of instant payments, efficiently managing
payment exceptions and investigations requires
adopting the latest technology, advanced processes,
and best practices. Although the adoption of ISO
20022 aims to harmonize payment data, the
transition to this new standard requires financial
institutions to embrace a universally accepted
standard for message content.
Additionally, rule books for exceptions, such as
those used by payment providers like FedNow in
the US, are essential for streamlining processes
and enabling automation. These rule books
also need to be standardized across all system
providers. Automation, guided by clear rule
books, reduces manual intervention and speeds
up resolution times. However, some payment
systems, like CHAPS in the United Kingdom,
lack standardized rule books, complicating
global exception workflows.
Best practices for handling payment exceptions
involve implementing automated, standardized,
rule-based systems with the support of reliable
technology partners. This ensures consistency
and efficiency across different payment rails.
Automation is vital for reducing the manual
workload and enhancing exception management.
The challenge of free format messages is that
SmartStream’s TLM Aurora Advanced Payment
Control (APC) provides financial institutions
with a single, integrated solution to track,
monitor, and investigate all payments. Highly
sophisticated, it enables firms to streamline and
optimize investigations and reconciliations,
irrespective of the payment system used. APC
offers a standardized way of working through
its pre-configured workflows, which allow the
automation of large parts of the exception-handling
process. These workflows guide users through
the exception lifecycle, virtually eliminating the
risk of errors, improving resolution times, and
reducing costs. Sophisticated analytics within
the solution provide valuable insights into the
root causes of failed or investigated payments,
empowering financial institutions to address
problems at the source and understand the effort
required for different exception types, payment
systems, or correspondent banks. This support for
instant payments through advanced automation of
reconciliations and investigations across payment
rails represents a significant advancement in an
era of instant payments.