Global financial departments are under intense pressure to enhance efficiency, lower costs, and increase productivity while technology advances at a breakneck pace. Indeed, finance departments led by CFOs must now make a significant transformation from traditional, redundant structures to vast, frequently worldwide ones. The automation industry is a significant part of this change, with robotic process automation (RPA) and automated invoice processing playing a key role in strategy and execution to meet these requirements.
RPA automates applications and systems by combining
robotic automation and artificial intelligence to perform repetitive,
human-executed processes. Intelligent automation is another name for it, and it
refers to any software system that can be trained to perform tasks that
previously required human intellect.
Key Highlights
·
Companies'
digital transformation efforts are increasingly reliant on artificialintelligence (AI) and automation. The financial function, in particular, is
well positioned to benefit from AI in terms of productivity and performance.
·
When it comes to
changing finance processes, technology should be tested upon the activities it
can best handle, allowing humans to focus on their more sophisticated and
strategic contributions. A "machine-first approach to automation" is
based on this principle.
·
Start with areas
that can show more immediate benefits to garner buy-in throughout the function
and eliminate doubt about the capability of new technologies like invoice
management, AP automation and AI.
·
CFOs can ask: What higher-value
tasks should finance workers focus on after automation is in place, as more
manual finance procedures become streamlined through automation.
How can CFOs
can benefit from artificial intelligence and automation?
Artificial
intelligence (AI) encompasses a wide range of technologies and advancements
that are fast becoming synonymous with modern computing in general, and, for
our purposes, with the task of digital transformation in particular. For nearly
a quarter-century, AI has been used to describe a variety of domains, including
natural language processing, human-machine interaction, information retrieval,
graphics and image processing, data mining and robotics, and more. AI, in its broadest sense, is the use of
digital agents' perception, reasoning, learning, communicating, and acting in
complicated situations with the objective of creating machines that can do
these things as well as humans, if not better.
In the finance
and accounting world, AI and automation could entail improved predictive
modelling, such as recognising payment patterns or anticipating net working
capital, efficient invoice management and profitability, which can help a
company make better strategic decisions. Pattern analysis, for example, could
be used to spot outlier spending, manage inventories, or expedite the
resolution of claims and disputes. AI supported AP automation, in general,
should be part of a company's entire digital transformation strategy, offering
it the resilience to overcome problems, the adaptability to capitalise on
opportunities, and even a better knowledge of and alignment with its real
mission as an organisation.
Finance
departments are accelerating their automation game with the advanced AP process
Finance teams
deal with accounts payable on a regular basis. It takes a significant amount of
time to gather all invoices, enter payment details onto bank websites, and
obtain the requisite payment permissions, which is usually done once a week or
fortnight.
Vendors who use
AP automation to permit numerous approvals and pull payment data from accounting
software to a banking and payments interface reduce the friction associated
with payment runs, allowing them to be completed more smoothly.
Furthermore,
many accounts payable providers automatically reconcile payments, saving time
that may be spent on higher-value duties.
Better supplier
ties are another advantage. Suppliers are less likely to get paid late when
they use AP automation, and they can easily transact for late received invoices
that are due for payment.
Finance
departments benefitting with an efficient purchase order (PO) system
Many
organisations require that their spend be above a
certain threshold, so POs play an important role in financial control.
The development
and approval of purchase orders is a regular source of frustration for
businesses. Budget makers and suppliers may be at odds, resulting in invoices
being created with inaccurate or fully utilised PO numbers.
The use of an
automated PO tool speeds procedures, allowing them to be created on the fly or
from forecasts. They can also auto-match invoices to PO numbers as they arrive,
reducing the risk of mistakenly assigning invoices and delaying payment to
essential suppliers.
Embracing Automation as a Value-Add Service
The finance
staff will be able to provide up-to-date reports, provide financial and
operational insights into company performance to improve sales, optimise KPIs,
and fine-tune acquisition channels as a result of AP automation.
Staff
productivity will also grow as a result of AP automation, lowering the need for
and cost of hiring new team members. Finance teams who are lucky enough to work
for an automation-first company are more likely to stay for the long haul in
order to advance in their careers and take on more fulfilling strategic tasks.
Some key
highlights of AP automation at work:
·
Errors in compliance are
removed more effortfully
·
Account reconciliation is
completed more quickly.
·
Scalability
·
Cost-cutting
·
Improved customer service
·
Financial closing and reporting
with ease
Almost any
business that has adopted or launched an automation project can attest to the
fact that once the solutions are deployed, the organization develops. These
businesses rapidly recognize that they need to design a plan for prudently
increasing and scaling in order to fulfil the rising demand for process
automation.
In Conclusion
Automation is
already reshaping the future of work in the financial department, and the
opportunity to boost performance will accelerate the trend. Adapting to change
is tough, but CFOs with a deep understanding of the automated world will be
well-positioned to succeed.
For those CFOs
who are already using RPA, investing in professional RPA expertise is vital to
ensuring that the technology is used successfully and that the department can
fully exploit RPA's capabilities.
AP automationsolutions like that of the Skyscend are thus putting in the best effort with
the AI supported and cloud-based software which can give the CFOs an upper hand
in the rapid digitalization and support the organization with a competitive
edge.
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