A roadmap for making systematic progress on AI implementation in large organizations
Discover Devise Deploy Sustain
Craft a vision
for what the
organization
wants to
achieve with AI
Explore AI’s
initial, high value
use cases and
technologies
needed to
implement them
Start building
capabilities to
develop AI use
cases
Launch proofs
of concept
and pilot
implementations
on selected use
cases
Scale the
pilots to
business-wide
scope
Establish
governance to
prioritize AI
projects
Continuous
transformation
Nurture an
AI/insight-driven
culture
1
2
3
4
Turning AI into
concrete value:
the successful
implementers’ toolkit
Influencing
sales
Boosting
operations
Engaging
the customer
Cosabella, a luxury
lingerie-retailer’s
AI-managed
marketing platform
produced a
155% increase in
revenue
in a three month
pilot
Harley-Davidson
used AI in
targeted
marketing and
increased sales
leads by
2,930% within
3 months
Siemens’ neural
network based
AI is able to
improve the
emission
performance of
a gas turbine
20% better
than a human
expert
KLM, the Dutch
airline’s
AI-assisted
human agents
have been able
to improve
customer
service efficiency
by 35%
Generating
insights
Average % share of organizations implementing any use case in the quadrant
AI use case
Need to Do
Can Do Must Do
Complexity
BenefitsLow High
LowHigh
Do Case-by-Case
34% 58%
46%27%
8%
26%
25%
24%
23%
22%
11%
10%
10%
10%
Reduced churn
Reduced customer complaints
Reduced false-positives
Greater legal/regulatory compliance at lower cost
Increase in inbound customer leads
Low implementers of "must do" use cases High implementers of "must do" use cases
Complexity
Benefits
Chat bot/virtual assistant
Facial recognition and
consumer identification
Contextual/predictive
customer care
Analyze
consumer behavior
Reduce revenue churn
Automated trading and stock
investment
Regulatory
compliance
Forecasting
Risk management
Build more profitable business models
Model financial transaction and
consumer history
Must Do
Use Cases
Product or services
recommendations
Trading strategies
Network security
Fault detection and
performance
measurement
AI is already transforming how organizations do business,
manage customer relationships and stimulate
groundbreaking innovation
However, organizations are missing a bigger opportunity by
ignoring the low-hanging fruit
Over half of organizations (58%) are tackling “need to do” use cases instead of “must do” (46%), which are
of high benefit but low complexity
Our research shows that organizations implementing a large
number of “must do” use cases drive significantly higher
benefits than those implementing a smaller share
Average gain of implementers of “must do” use cases over low-implementers (percentage points)
How to get started with an AI strategy and roadmap?
Interested in reading the full report? Head to:
www.capgemini.com/resources/turning-ai-into-concrete-value-the-successful-implementers-toolkit
Low High
LowHigh
So, where should organizations invest in AI?
A number of “must do” use cases present lucrative
opportunities for all sectors
AI is driving significant benefits across the organization

Infographic - Turning AI into Concrete Value: The Successful Implementers' Toolkit

  • 1.
    A roadmap formaking systematic progress on AI implementation in large organizations Discover Devise Deploy Sustain Craft a vision for what the organization wants to achieve with AI Explore AI’s initial, high value use cases and technologies needed to implement them Start building capabilities to develop AI use cases Launch proofs of concept and pilot implementations on selected use cases Scale the pilots to business-wide scope Establish governance to prioritize AI projects Continuous transformation Nurture an AI/insight-driven culture 1 2 3 4 Turning AI into concrete value: the successful implementers’ toolkit Influencing sales Boosting operations Engaging the customer Cosabella, a luxury lingerie-retailer’s AI-managed marketing platform produced a 155% increase in revenue in a three month pilot Harley-Davidson used AI in targeted marketing and increased sales leads by 2,930% within 3 months Siemens’ neural network based AI is able to improve the emission performance of a gas turbine 20% better than a human expert KLM, the Dutch airline’s AI-assisted human agents have been able to improve customer service efficiency by 35% Generating insights Average % share of organizations implementing any use case in the quadrant AI use case Need to Do Can Do Must Do Complexity BenefitsLow High LowHigh Do Case-by-Case 34% 58% 46%27% 8% 26% 25% 24% 23% 22% 11% 10% 10% 10% Reduced churn Reduced customer complaints Reduced false-positives Greater legal/regulatory compliance at lower cost Increase in inbound customer leads Low implementers of "must do" use cases High implementers of "must do" use cases Complexity Benefits Chat bot/virtual assistant Facial recognition and consumer identification Contextual/predictive customer care Analyze consumer behavior Reduce revenue churn Automated trading and stock investment Regulatory compliance Forecasting Risk management Build more profitable business models Model financial transaction and consumer history Must Do Use Cases Product or services recommendations Trading strategies Network security Fault detection and performance measurement AI is already transforming how organizations do business, manage customer relationships and stimulate groundbreaking innovation However, organizations are missing a bigger opportunity by ignoring the low-hanging fruit Over half of organizations (58%) are tackling “need to do” use cases instead of “must do” (46%), which are of high benefit but low complexity Our research shows that organizations implementing a large number of “must do” use cases drive significantly higher benefits than those implementing a smaller share Average gain of implementers of “must do” use cases over low-implementers (percentage points) How to get started with an AI strategy and roadmap? Interested in reading the full report? Head to: www.capgemini.com/resources/turning-ai-into-concrete-value-the-successful-implementers-toolkit Low High LowHigh So, where should organizations invest in AI? A number of “must do” use cases present lucrative opportunities for all sectors AI is driving significant benefits across the organization