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

INTELLIGENCEData 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 SERVICEAI 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

MANAGEMENTFor 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 &

ACCOUNTINGFor 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!www.accenture.com/AIbusinessprocess

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