USING AITO SUCCEED IN THE NEW
BUSINESS PROCESS ERA
G

In dynamic markets, companies with inflexible business
processes are at a disadvantage. Unable to adapt, their reliance
on rigid, rules-based systems can put them behind competitors.

3
Organizations with a better
grasp of agility are moving
toward outcome-driven
approaches and dynamic
business processes, with the
intention of being less reactive.
CHALLENGES

BETTER
SOLUTIONS
Now, AI technologies are available
to ensure you thrive in a fluid market.
Machines that can sense,
comprehend, act and learn can take
care of how to improve your business,
freeing your people to concentrate on
the strategic what and why. It’s one reason 85%
of executives say
they’ll invest in AI over
the next three years.*
%

With the potential to boost productivity
by up to 40 percent, AI can lead to
profound shifts in the way work is
done. AI eliminates repetitive tasks
and supports people in complex and
creative problem-solving.
It allows people to operate where
they have highest value – decision –
making and innovation – to drive
business growth.
NEW WAYS
TO WORK

It frees people and
resources to prepare the
business for new models.
AI helps with the analysis
of unstructured data from
different sources,
including social media.
It allows businesses to
automate processes
& reconfigure them to
complement or augment
employee skills.
It can help generate
disruptive advances
& game-changing
innovations.
FREE THE PEOPLE
AI IS VITAL FOR THE
TRANSITION TO OUTCOME
DRIVEN APPROACHES.

Now, AI has moved beyond being a back-end tool to become
the primary interface with customers and employees.
As such, there’s much at stake in developing & implementing
outcome driven AI systems. The retooling of business
processes to become more flexible and fluid is just the
beginning of that transformation.
BRAVE NEW OUTCOME
WORLD

Leading companies have deployed AI to make
the transition away from rules-based systems.
This transformation has been occurring in industry
after industry, particularly in the following applications.
IN
ACTION

PROCUREMENT
MARKET
INTELLIGENCE
Data analysis is crucial for procurement and AI can
help gather superior market intelligence. In addition,
the technology now allows executives to perform
outcome-based analyses to optimize for the whole
corporation, not just individual business units.

At a global conglomerate, AI helps compile
detailed intelligence reports on suppliers -
automating search, extraction, aggregation,
and synthesis of unstructured data.
– Streamlined the process
– Saved 3 days MBA analysis and reporting
– Enabled twice the coverage of information
INTELLIGENCE
PROCUREMENT
MARKET
IN ACTION

The reports are reviewed
and improved upon by
procurement analysts
Enhancing sourcing
insights and increasing
capacity by 30 percent.
BUT AI HASN’T
REPLACED HUMANS –
IT’S AUGMENTED THEM.

CUSTOMER
ENGAGEMENT
AND SERVICE
AI is being adopted in the customer engagement
and service operations of many companies.
These systems can resolve 80 percent of
routine customer interactions.

At a multinational technology company,
an AI system with natural-language processing
analyzes and handles simple customer e-mails,
passing complex cases to human agents.
Some companies have overhauled their complete
customer service approach, moving toward
anticipating issues. For example, advanced AI
systems can accurately predict equipment failure,
so executives can take proactive measures.
THE OUTCOME
Increased customer satisfaction
from businesses, who can run
their operations on schedule,
without costly shutdowns.
CUSTOMER ENGAGEMENT
AND SERVICE IN ACTION
30%
increase in
capacity.
Faster resolution and

CONTENT
MANAGEMENT
For many online and e-commerce firms, AI is an
effective, efficient mechanism for monitoring posts,
detecting obscene or illegal material or off-brand
content, and flagging counterfeit goods.

IN ACTION
CONTENT MANAGEMENT
One online company worked with Accenture to develop AI models that learned
from large amounts of image data. The system now tags and categorizes
products based on detailed attributes and also identifies inappropriate content.
The AI-augmented process performs at an order of magnitude faster than the
manual processing, and enhances the customer experience.

FINANCE &
ACCOUNTING
For financial accounting systems, AI can perform
general entry and reconciliation and is moving
toward being able to identify and resolve audit
issues in real time.

AI systems are helping banks to reconfigure processes on the fly,
enabling the continual changes that are required to meet evolving regulations.
These outcome-based systems operate on general guidelines for account
data, and are designed to focus on accountability, fairness, and transparency.
IN ACTION
FINANCE & ACCOUNTING

Implementing advanced AI
systems remains a challenge,
requiring a change in mindset as
well as investments in key areas.TO DO

A NEW PERSPECTIVE
Focus on an AI outcome-driven
approach, informed by best practices
and business expertise.
LEVERAGING THE RIGHT DATA
AI can improve your enterprise’s ability to fully leverage information,
if you ask the right questions. Uncover the needs and objectives of
different business units and operations, and IT can collect the right data.
COMBINED SOLUTIONS
AI alone won’t solve business
challenges. Combine knowledge-
driven approaches with data-driven
methods, and mix machine learning
with machine reasoning.
TECHNOLOGY FOR PEOPLE
Aim for well-designed AI systems
that adapt to people, for effective
human and machine cooperation.
IMPROVED OUTSOURCING
Rethink the structure of outsourcing
relationships. Move toward
outcome-based approaches with
agreements based on the business
value created by the work.
TRANSITION REQUIRES…

THANK YOU!
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