The company aims to provide world-class AI consulting services through end-to-end digital transformation solutions. Their approach is to provide clients a competitive edge through clarifying AI strategy, evaluating the industry landscape, and delivering AI strategy and data science solutions that drive business value. Their services include AI readiness assessments, business model evaluations, feasibility studies, and integration strategies to help clients successfully adopt AI. They also offer data science solutions like data preparation, machine learning modeling, and data visualization to solve business problems.

1. AI Strategy
& Advance Analytics

2. Our Value Proposition
“We aim to provide world class AI consulting services by providing end-to-end digital transformation solutions for
our clients. Our approach is to provide our clients with a competitive edge in an increasingly fierce market by
clarifying their AI strategy, evaluating the landscape in which they operate and delivering world class AI strategy
and data science solutions that drive visible business value.”
AI Strategy Data Science Visualization
AI Readiness and Digital
Transformation Strategy
Intelligent Automation and
Machine Learning Solutions
Tailored Business
Intelligence at you
fingertips
Our Mission

3. Our Value Proposition
AI
Strategy
Data
Science
Solutions
AI Readiness Assessments
Business Model Evaluation
AI and Machine Learning
Feasibility Study
AI Integration Strategy
(Digital Transformation Strategy)
Data Preparation
Core Data Science Solutions
Data Visualization
o Best-practice digital strategy methodologies
o Deep industry insight
o Experience with enterprise clients and digital transformation strategy
o Expertise in machine learning, cloud and IoT and their integration in a
dynamic business environment
o Decision making rooted in inferential and predictive analytics
o Deep expertise in the application and integration of machine learning
techniques in an array of tools and technologies
o Experience in all major BI tools from Qlik, Tableau, Microsoft and Google
The AI Strategy consulting arm focuses on digital transformation and the
augmentation of AI, IoT and Blockchain technologies into business processes to
meet strategic growth and/or cost optimization initiatives.
The Data Science consulting arm aims to provide advanced analytics solutions
ranging from data ingestion, data preparation and business intelligence to
advanced machine learning and AI solutions.
AI Strategy Data Science Solutions

4. AI Strategy Consulting Services
“A successful digital transformation journey requires careful consideration of all aspects of a business, from understanding the vision and mission of the c-
suite down to the front-line operations of the business. A true competitive edge is derived not from acquiring the latest technology, but from understanding
how best to integrate leading-edge tools and methodologies into the strategic and operational DNA of an organization.”
AI Readiness Assessments Business Model Evaluation AI Feasibility Study AI Integration Strategy
AI readiness assessments aim to generate
an understand of where an organization
stands with regard to their ability to
undertake AI initiatives with ease:
• Map out high level strategic initiatives
• Gauge the organizations propensity to
accept AI initiatives
• Evaluate the technological landscape
from an operational standpoint (IT
infrastructure, processes, etc.)
• Evaluate relevant business processes
and their ability to be automated
• Map out current AI or machine learning
initiatives
• …
It is imperative that both the business
model and the operating model of an
organization are evaluated to understand
how best to integrate both AI enabling
technology (Cloud, IoT, etc.) and
subsequent machine learning solutions
into the business to maximize return on
investment:
• Conduct a study of the relevant
business and operating models
• Clarify strategic objectives and develop
the target operating model (TOM)
• Develop success factors that are critical
in measuring the success of AI
initiatives
• …
An AI feasibility study aims to pair
business problems with potential AI
solutions and conduct a high level
assessment of the suitability of various
solutions in resolving these pertinent
business problems:
• Scoping out and clarifying the
underlying issues associated with
targeted business problems
• Shortlisting of relevant AI-enabling
technological solutions (Cloud, IoT,
Blockchain) together with the relevant
data science methodologies
• Preliminary benchmarking of proposed
solutions
• …
Once the business and relevant
processes have been evaluated and
the proposed solutions
benchmarked, a roadmap that
integrates the organizations' vision,
digital transformation strategy and
proposed AI solutions in a coherent
and practically feasible approach is
defined
Digital Transformation & AI Integration

5. AI Augmentation Services
Data Science & Machine Learning
Data Preparation Core Data Science Solutions Data Visualization
The data preparation phase of the project
typically consumes the largest amount of
time in a data science project and
involves:
• Joining of source data into AI-ready
denormalized tables
• Cleaning of data to improve
downstream processing and removal of
redundant and unnecessary information
• Preliminary data exploration to validate
the statistical validity of the information
stored in the source tables
• Preliminary data analysis to provide
high level insight into trends and
patterns within the data that may be
useful in downstream data processing
• …
The data visualization phase involves
piping the cleaned and analyzed data from
storage sources to interpretable Business
Intelligence environments:
• Identifying the ideal BI software to use
for a given client (Tableau, Qlik, Power
BI, DataStudio)
• Connecting the BI software to the
source data and optimizing BI
performance
• Running workshops to ensure that the
BI environment delivers the correct
information in an interpretable manner
• System integration for automated
reporting and near-real time analytics
• …
Core Data Science Solutions aim to solve business problems by leveraging
the machine learning building blocks to craft tailored solutions that yield
impactful results
• Clustering
• Categorical and Continuous Regression
• Classification (Trees, SVM’s, etc.)
• Simple neural networks
• Deep Learning Techniques (Multi-layer ANN, CNN
and RNN)
• Market Basket Analyses
• Natural Language Processing and Computer Vision
• Predictive Analytics
• Resource Allocation
• Predictive Maintenance
• Intelligent Forecasting
• Price and product optimization
• Consumer Behavior Analytics
• Recommendation Engines
• Pattern Detection and more
• Leveraging Machine Learning models for classification, prediction and
generation
• Development of intelligent systems (on-site or in-cloud) that build on pattern
recognition and statistical insight to learn and adapt to both consumer and
system behavior
Tools & Techniques

6. Robosure Limited
12Th Level, Tower 1,
Nexteracom Towers,
Cybercity, Ebene, Mauritius
www.robusure.mu
THANK YOU