Everest Group FIT matrix for Robotic Process Automation (rpa) technology

Copyright © 2017 Everest Global, Inc.
This document has been licensed for exclusive use and distribution by UiPath
EGR-2017-13-E-2054
Everest Group FIT Matrix™ for Robotic Process
Automation (RPA) Technology Vendors
Focus on UiPath
January 2017

Copyright © 2017, Everest Global, Inc.
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Everest Group recently released its report titled “Robotic Process Automation (RPA) – Technology Vendor Landscape
with FIT Matrix Assessment – Technologies for Building a “Virtual Workforce”. The report provides a detailed view of
the RPA technology vendor landscape and a thorough assessment of the various RPA technology solutions across
several key dimensions.
As a part of this report, Everest Group assessed 10 of the leading technology vendors and compared & contrasted
their RPA capabilities within Everest Group's Feature, Implementation, and impacT (FIT) Matrix framework.
The vendors have been classified into the FIT Matrix categories of Leaders, Challengers, Optimizers, and Aspirants.
The assessment dimensions include the market impact of each vendor and its overall vision and capability.
Based on the analysis, UiPath emerged as a Leader and also a Star Performer. This document focuses on UiPath’s
RPA capabilities. It includes:
 UiPath’s position on the Everest Group RPA FIT Matrix
 Detailed RPA profile of UiPath
Buyers can use the FIT Matrix to identify and evaluate different RPA technology vendors. It helps them understand
technology vendors’ relative strengths and improvement areas. However, it is also important to note that while the
FIT Matrix is a useful starting point, the results from the assessment may not be directly prescriptive for each buyer.
Buyers will have to consider their unique situation and requirements, and match them against technology vendor
capabilities for an ideal fit.
Introduction and scope

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Everest Group’s “virtual workforce” RPA technology vendor
FIT Matrix™
Everest Group Feature | Implementation | impacT (FIT) Matrix1
Different approach to
robotic process automation
than traditional RPA
Star Performers
Leaders
Challengers
Aspirants
Optimizers
Marketimpact
Vision and capability
Challengers
Leaders
Aspirants
Optimizers
Automation Anywhere
Blue Prism
Kofax Kapow
Kryon Systems
NICE
Redwood
Thoughtonomy
UiPath
Softomotive
WorkFusion
1 Vendors scored using Everest Group’s proprietary scoring methodology given on pages 10 to 12
Source: Everest Group (2017)

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UiPath is an RPA “Leader1” and Star Performer based on
strong relative YoY movement on the Everest Group
FIT Matrix
Market impact in last 12 months ending June 2016
 UiPath has witnessed remarkable growth in terms of revenue, clients, and headcount in the last 12 months
on the back of a combination of competitive pricing and strong services provider partnerships
 It has significantly broadened its coverage of buyer geographies and increased the share of large enterprise
clients in its portfolio
Enhancements in vision and capability in last 12 months ending June 2016
 It has made significant augmentations in the core functionalities of its platform and enhanced its cloud
technology
 Added new features such as process mapping, collaboration tool, configurable analytics based on
Elasticsearch Kibana, and embedded help tool
1 Please refer to page 12 for the definition of “Leader”

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Revenue mix by buyer size2Revenue mix by industry vertical Mix of use cases by processesRevenue mix by geography
27%
11%
4%
6%3%
15%
34%
UiPath (page 1 of 4)
1 Everest Group estimates based on information shared as part of the RPA vendor assessment RFI and briefings up to June 2016
2 Enterprises (revenue more than US$1 billion), mid-sized (revenue more than US$25 million and up to US$1 billion), and small (revenue less than US$25 million)
3 Includes clients using their licenses through their partners (service providers, system integrators, consulting firms, etc.)
50%
20%
15%
10%
5%
46%
28%
20%
6%
70%
18% 12%
UiPath is an RPA technology vendor providing a software platform to help
organizations automate their processes. UiPath software robots integrate with other
systems through their presentation layer. To date, the software has been used
mostly to automate business processes, but the vendor is reporting applications of
UiPath in IT automation as well. UiPath has received two rounds of funding from
investors and is likely to receive more. It has grown strongly in terms of revenue
and headcount in the last 12 months, leading it to open new offices in London and
Bengalore, in addition to Bucharest
Key technology leaders: Daniel Dines, CEO and Founder
Headquarters: London, United Kingdom
Key clients include: Atos, AXA, BBC, Capgemini, CenturyLink, Cognizant,
Middlesea, OpusCapita, and SAP
Website: www.uipath.com
Company overview
 November 2016: UiPath opens new office in London which becomes their new
corporate headquarters
 May 2016: UiPath entered into a new partnership with India’s Hexaware
Technologies to deliver leading RPA solutions
 February 2016: UiPath opened office in Bangalore
 February 2016: NIIT Technologies partnered with UiPath
 October 2015: Capgemini signed RPA collaboration deal with UiPath
Non-exhaustive list of recent deals and announcements
Geography, industry vertical, use cases, and buyer mix1
APAC
North
America
Mid-sized
United
Kingdom
Continental Europe
BFSI
Retail & consumer Telecom & media
Manufacturing
Healthcare
Others
Industry-specific
Procurement
Contact
center
HRThird-
party3
Enterprise
Small
F&A

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Solution scope1
Options for
automation creation
Code the actions Record the actions
Assemble objects from
previous automations
Visual drag-&-drop
development
Machine learning-
based
Natural Language
Processing
Deployment options
Client-hosted on
desktop/laptop
Client-hosted on
server
Provider-hosted,
multi-instance
Provider-hosted,
single-instance
Partner-hosted,
single-instance
Partner-hosted,
multi-instance
On Cloud
Support Training by vendor
Training by
partners/resellers
Consulting by vendor
Consulting by partners
/ third parties
User community Tool-embedded help
Product overview
UiPath has three key parts to its RPA platform: 1) UiPath Studio, which is a flowchart-based visual process modeling tool, 2) UiPath Orchestrator, which is the web-based
management console used to manage robots and processes, and 3) UiPath Robot, which are worker robots programmed to execute processes modeled with UiPath
Studio and run and managed by the UiPath Orchestrator. The robots can either run unattended in a virtual machine on a datacenter or share the same desktop with a
human agent. It can work with legacy systems, cloud, and web-based applications, and is compatible with SAP, Citrix, Java, and mainframe applications. The
management console can be used to deploy, start, stop, and schedule processes and monitor their execution. It also facilitates human-robot collaboration and business
exception handling using centralized work queues and offers fully configurable analytics and dashboards via Elasticsearch. The system includes five different access
levels depending upon roles. The solution incorporates a robust data extraction system. It can be done through objects in case of thick client (desktop application) or
through screen scraping in case of thin clients (e.g., Citrix-based systems). The company works with technology partners such as Microsoft, Google, and IBM to provide
cognitive and machine learning capabilities to handle unstructured data
Key tool features
Pre-built connectors
Role-based access
controls
Task scheduler Collaboration tool
Handling of unstructured
data
Support for project
management
Disaster management
Dynamic bot scaling over
cloud
Run-time automation
management and control
MI and performance
analytics
Backward compatible Context awareness Change management
Adherence to supporting
methodology (6 sigma)
Libraries of automation
Credential vaults Work queues Multi-tenancy Inbuilt-version control Modularity and reusability
Rules engine Process mapping Audit-trail
Available Not available

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Comparison of UiPath’s technology and deployment characteristics with industry practices1
 UiPath’s biggest market currently is North America, with an increasing presence in UK and Continental Europe. It has also started penetrating
emerging markets such as APAC. It opened offices in Bangalore (delivery) and London (sales and new HQ). UiPath’s largest customer base
is in the Business Process Services (BPS) sector. BFSI and healthcare are the other major markets for the company
Buyer coverage
 UiPath offers the more traditional subscription-based licenses. Maintenance is included in the pricing, while implementation services are
optional, charged separately, and are provided as part of professional services
 The licenses are available on a per-user basis as well as concurrent type with multiple users using the product simultaneously
 The company is considering a per-transaction license and usage-based licensing model
Pricing model
 UiPath allows its solutions to be hosted on client’s premises, on BPO partner’s server / private cloud, or public clouds such as Microsoft
Azure. In this respect, it is in line with the market in terms of flexibility
 UiPath is in keeping with the market leaders in terms of ease of development and use, flexibility for training, and quality of professional
services. They are in the process to make their training for RPA developers available to the public on the Massive Open Online Course
(MOOC), aiming to increase UiPath skills globally
Deployment and
support
 UiPath offers a library of pre-defined activities and has pre-built connectors that can integrate with third-party applications at the API level to
enhance its ease of use and extensibility. It features image recognition engine to support Citrix automation. In keeping with the leaders in the
market, it has orchestrators and work queues, however, it lags them in supporting dynamic work allocation and on-demand bot scaling
 It offers centralized automation management and control through its management console and leverages industry standard open- source
technology (based on Elasticsearch Kibana) to provide configurable analytics and dashboards around system and robot performance
Availability and
quality of product
features
 Most of the use cases of UiPath are for automating processes within F&A. Procurement, contact centers, and HR are the other major areas
where UiPath is used. Some clients are also using it for Global In-house Centers (GICs) / shared service center and IT automation
 However, unlike several of its competitors, it has fewer use cases in sector-specific line of business processes. UiPath can be used for both
agent-assisted / partial process automation as well as end-to-end automation in the style of a virtual workforce, and is able to connect to both
front- and back-office activities
Process coverage

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Everest Group’s assessment1
Evaluation dimension Remarks
Company Strengths
 A combination of competitive pricing and strong service provider partnerships (e.g., with Accenture, Capgemini, Deloitte, EY,
and PWC) has driven significant revenue growth for UiPath to the tune of 300% over the last two years. It has also more than
trebled its headcount and opened offices in India and London
Opportunities
 Continue to drive growth by investing in resources and expanding partnerships
Solution and support Strengths
 A platform that can be extended with good use of Microsoft capabilities such as Designer and SharePoint for workflow
 New features include Elasticsearch for reporting and Orchestrator that can be deployed on the cloud (PaaS) to offer cloud-
enabled scalability
 It has made a community edition of the platform free for small companies
Opportunities
 Enhance the ability to more dynamically allocate work to robots according to changing capacity and priority requirements
 Continue to enhance the richness of features
Commercials Strengths
 Attractive commercial proposition requiring small entry-level investment from clients
 UiPath is building a strong partner network with many service providers
Opportunities
 UiPath is looking to broaden its pricing model. There is opportunity to build flexibility in the subscription-based license model to
include alternatives such as gainsharing
Overall Strengths
 Ease of working with the vendor, ease of coding, use & modularity of the product, and access to good training
Opportunities
 Enhance patch, bug fix, change, and upgrade release services. Enhance error messaging. Improve granularity of access
management

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Appendix

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Everest Group classifies the RPA technology provider
landscape into Leaders, Challengers, Optimizers, and
Aspirants on the Everest Group FIT Matrix
Everest Group Feature | Implementation | impacT (FIT) Matrix
Vision and capability
Marketimpact
Market
success
A
Portfolio mix B
Value
delivered
C
Vision Features Support
Security &
compliance
Ease of use
Deployment
options
Commercials
1 2 3 4 6 75
Mean
score
along
y-axis
Mean score along x-axis
Aspirants
Optimizers Leaders
Challengers
Note: In order to make a fair comparison across RPA technology vendors with different solution models, focus has been only on those parameters that are relevant
to RPA solution

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Each of the two dimensions comprise data and information
along multiple subdimensions
Marketimpact
Depth and breadth of coverage of buyers, geographies, industry verticals, and processesPortfolio mix
B
Company size & growth, performance, and market perceptionMarket success
A
Value delivered Buyer satisfaction with the technology as well as the support
C
Visionandcapability
Vision for the client and itself; future roadmap and strategy
Flexibility of automation creation, integrations, and management
Hosting and tenancy options available for buyers
Availability, flexibility, and technical sophistication of the features
Training, consulting, maintenance, and other support available for buyers
Features for ensuring data security and process compliance
Flexibility and progressiveness of the the pricing model for processing and ancillary
services (e.g., implementation and maintenance)
Vision & strategy
Ease of use
4
Deployment options
3
Features
2
Support
5
Security & compliance
6
Commercials
7
1

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Based on the evaluation, RPA technology vendors have been
segmented into four categories for virtual worker RPA
Optimizers
 Offer significant capabilities enhanced with new
features to challenge the leaders in the group but less
mature technology
 High degree of success in exploiting full potential of the
existing assets for a high market impact
 Broad coverage of market across geographies, buyer-
sizes, industry verticals, and processes
 Opportunity to increase reselling or deployment and
support partnerships
Leaders
 Highly capable and flexible technology in terms of
features, implementation, and commercial models
 High degree of impact on the market in terms of size
& growth of portfolio and value delivered
 Broad coverage of market across geographies, buyer-
sizes, industry verticals, and processes
 Strong partnerships
Challengers
 High degree of capability in terms of technology; in the
process of further improving the solution
characteristics
 Innovators in terms of technology that need to find the
right market positioning
 Relatively lower impact in terms of market traction and
coverage; however, improvements are likely to reduce
this gap
 Need to improve reseller and partnership structures to
expand globally
Aspirants
 Significant capability in limited scenarios, e.g., desktop
automation
 Reorienting solutions to tackle enterprise-level
business processes
 High impact with desktop customers; enhanced
solution likely to propel them into higher impact zone
 Limited geographic presence in terms of professional
services, deployment, and support

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Everest Group’s Service Delivery Automation (SDA)
architecture | Automation technology can be applied to the
whole process stack
Business
process level
Technology
level
Basic automation
Sophistication of
automation tools
Cognitive automationRPA
 In-house scripting & scraping
tools
 Work flow
 Desktop off-the-shelf tools
 Deterministic
 Third-party & service provider
software
 UI-based integration
 Rules-based automation
 Deterministic
 Cognitive tools based on capabilities
such as:
– Machine learning
– Natural language processing
– Can be both deterministic &
probabilistic
Business process automation
Generic tools: Enabling tools that can be applied to many situations regardless of what the automation is accomplishing
Activity- or function- specific automation: Tools that are designed to be relevant only in the context of certain types of
activities (e.g., financial close processes, knowledge management systems and document processing)
Industry-specific automation: Tools that are configured to be applicable to industry-specific activities
(e.g., price comparisons and compliance)
Infrastructure automation
Addressing the complete infrastructure cycle across architecting, deploying, provisioning, and support functions
Application development, management, and testing automation
Managing the entire application life cycle from concept, design, build, to test, resulting in reduced time-to-market and
increased product quality
Types of data
handled
Structured data All types of data including unstructuredSemi-structured data

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Key definition #1: SDA
Automation of inputs to a
process:
 Contact management
 Content scraping from
websites
Automation of the business
process:
 Administering purchase
orders and invoices
 Checking for unusual
patterns in transactions
 Checking for consistency of
data (format, quality, etc.)
Automation of outputs from
the process:
 Outward contact
management,
e.g., e-mail confirmations
 Internal notifications
 Events generated to activate
follow-on processes in other
functions
SDA can encompass three different portions of the process:

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Key definition #2: Robotic Process Automation (RPA) is a
component of SDA
 It refers to a type of
automation, which interacts
with a computer-centric
process through the User
Interface (UI) / user objects
of the software application
supporting that process
 A robot is usually a runtime
environment on which
different processes/tasks
(executables) can be run
 RPA can process structured
and semi-structured data
 RPA is a deterministic
solution, the outcome of
which is always known
Examples of use cases for
RPA:
 Transaction processing
 Data entry in high-volume,
repeatable, and computer-
centric processes
 In-system upgrade
scenarios where double and
concurrent data entry is
made into old and new
systems during the period of
change
 IT support such as
password resets and
database maintenance
 Reconciliation of data
across systems
 Non-invasive – usually does
not have to tie up at the API
level
 Can handle rule-based
repetitive tasks
 Incorporates exception
management
The non-invasiveness is
important in outsourcing
where service providers
are usually not allowed
to modify the client's IT
systems

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Key definition #3: Cognitive automation is a component of
SDA
 A subset of SDA, cognitive,
also referred to as smart or
intelligent automation
software, builds a process-
related knowledge base and
uses it in combination with a
set of business rules and
machine learning algorithms
to automate processes
 Cognitive tools have been
widely used in IT services
and are increasingly finding
their way into business
processes
 They can work on both
structured and unstructured
data
 Cognitive tools have natural
language processing and
machine learning
capabilities, which equip
them to learn from
experience and to expand
their knowledge base
 Cognitive tools use
business rules to automate
processes, but can also use
predictive tools to infer
some operational decisions.
This allows them to work out
the correct way to deal with
situations that might not
match pre-compiled rules
 The ability to infer what to
do can make the outcome of
their work non-deterministic
Examples of use cases:
 Customer interactions
 In-bound document
processing for contact
centers
 Claims processing for the
insurance sector
 Rewards processing for the
telecom sector
 IT infrastructure
management

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Definitions
Term Definition
Artificial intelligence Artificial intelligence is referred to as the ability of the system to use its cognitive intelligence to learn interpreting unstructured
content, use relationships and patterns to build a fuzzy structure around it, and then leverage this structure to respond in a
similar form as the input itself
Audit-trail Provision of tracking and recording changes to data with timestamp and user details
Backward compatible Capability to work seamlessly with prior versions of when an automation suite/software is upgraded
BPM tools These are process optimization solutions with capabilities of process design, execution (through workflows and orchestration
of different BPS technology systems), and monitoring (through analytics)
BPO Business Process Outsourcing refers to the purchase of one or more processes or functions from a company in the business
of providing such services at large, or as a third-party provider
Buyer The company/entity that purchases outsourcing services from a provider of such services
Change management In this context, change management refers to built-in capabilities to assist organizations with managing changes to the
specification and code of automations as part of version management and change control
Code the actions Capability to codify automation tasks via a programming language
Cognitive/smart
automation
Cognitive/smart technology refers to the ability of a system to learn how to interpret unstructured content, such as natural
language, and use analytical capability to derive and present inferences in a pre-defined / structured fashion. For example, a
system classifying the mood of a person into one of the pre-defined buckets based on his/her tone and language
Collaboration tool Provision to support a group of individuals working on an automation suite to accomplish a common goal by providing a
platform to collaborate on multitude of areas such as best practices, FAQs, and debug issues
Context awareness A basic degree of run-time environment intelligence that is programed into robots. This enables the robots to behave
according to pre-defined rules in response to run-time conditions and issues such as a non-responding enterprise system.
The context may be the business environment, flow triggers, etc. In some systems the robot programmer is prompted to
specify these rules, e.g., how many times to attempt to log into a system, at the time of developing the automation
Credential vaults The capacity of an automation tool to store user authentication and authorization parameters under encrypted databases
outside the instance where the automation task runs, thereby providing for secure storage of access credentials
Glossary of key terms used in this document (page 1 of 3)

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Definitions
Term Definition
Dynamic bot scaling over
cloud
Ability to rapidly add or remove automation bots on a cloud infrastructure based on demand fluctuations in real-time
FTE-based pricing Input-based pricing structure; priced per resource type with significant price differences between onshore and offshore
(e.g., per onshore clerk and per offshore clerk)
FTEs Full-Time Employees on the rolls of the company
GIC Global In-house Center (GIC) is a shared service or delivery center, owned and run by a parent organization
Handling of unstructured
data
Capability to read/analyze data that is not in a pre-defined format with or without minimal human interactions
Inbuilt-version control Capability to record and show changes to an automation when it is changed or updated for software code version and release
management. This would need to have a consistent nomenclature that can assist with locating the change, its author, and
version history at a later date
Libraries of automation Out of the box, pre-programmed automations for activities that are common practice in any specific industry, e.g., identifying
the logging in fields on a system screen
Load balancing Load balancing improves the distribution of workloads across multiple robots to help increase capacity by reducing
unproductive downtime and also reliability of applications
Machine learning Pattern recognition and computational learning in artificial intelligence
MI and performance
analytics
Capabilities to produce management reports – these are typically in a dashboard format that show robot performance
information and provide analytics that can be used to identify trends or problems in operations
Modularity and reusability Software written in a way that allows for efficient reuse using tenets of Object Oriented Programming (OOP) where chunks of
code are written in logically differentiated blocks accomplishing subtasks that can be mixed and matched to create a multitude
of tasks
Multi-tenancy Automation suite that can support an architecture in which a single instance of the automation software can be used by
multiple clients (tenants)

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Definitions
Term Definition
NLP Natural Language Processing is a cognitive intelligence-based methodology to interpret human languages
Pre-built connectors Application- or technology-specific connections to enable movement of data across the automation platforms and native
technology or applications on which they intend to run
Process mapping A process map provides a graphical depiction of main activities, information flows, interconnections, delays, and measures a
process needs to accomplish with owners of each activity, order of tasks to be processed, and error handling procedures. In
automation tools, this may allude to the capability of the tool to let designers use process maps to automate tasks and assign
bots to them with interfaces to humans for judgment-based inputs
Queueing The process of scheduling tasks in a sequential manner on a scheduler to robots
Record user actions Capability to record user actions and auto-generate underlying code
Role-based access Approach to restrict access to automation and underlying systems based on authorization (e.g., admin, user, etc.)
Rules engine Capability of an automation suite to hold and allow the execution of one or more business rules in a run-time production
environment. The rules may be dictated by business logic or are legal /regulatory in nature.
Run-time automation
management and control
Real-time control and management features to provide visibility into the run-time environment and if human action is needed
to ensure successful automation. Examples include robot/automation status ( e.g., running, completed, or error), alerts &
exception handling requirements and progress status, and robot performance issues that would require dynamic scaling and
load balancing
Support for project
management
Provision for project management capabilities such as creating and sharing of gantt charts, budgets, milestones, assignments,
and dependencies for running automation projects
Task scheduler Capability to assign tasks to bots as per pre-defined parameters (e.g., prioritization of tasks and critical paths)
Tool embedded help An in-built self-help compendium of frequently asked questions and troubleshooting procedures for the tool
Visual drag-&-drop
development
Virtual object drag-and-drop capabilities that help program process flows visually with minimal programming, allowing
business users to work on creating automations

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Does the FIT Matrix assessment incorporate any subjective criteria?
 The Everest Group’s PEAK Matrix assessment adopts an objective approach (leveraging technology vendor RFIs and the Everest Group’s proprietary
database containing vendors’ technology characteristics and operational capability information).
In addition, these results are validated / fine-tuned based on our market experience, buyer interaction, vendor briefings, and demos of technology
platforms
Is being a “Optimizer”, “Challenger” or “Aspirant” on the FIT Matrix an unfavorable outcome?
 No. FIT Matrix highlights and positions only the best-in-class technology vendors in a particular space. There are a number of vendors from the broader
universe that are assessed and do not make it to the FIT Matrix at all. Therefore, being represented on the FIT Matrix is in itself a favorable recognition
What other aspects of the FIT Matrix assessment are relevant to buyers and vendors besides the “FIT Matrix position”?
 The FIT Matrix position is only one aspect of the Everest Group’s overall assessment. In addition to assigning a “Leader”, “Optimizer”, “Challenger” or
“Aspirant” title, Everest Group highlights the distinctive capabilities and unique attributes of all the vendors assessed in its report. The detailed metric level
assessment and associated commentary is helpful to buyers in selecting particular providers for their specific requirements. It also helps vendors
showcase their strengths in specific areas
What are the incentives for buyers and vendors to participate / provide input to the PEAK Matrix research?
 Participation incentives for buyers include a summary of key findings from the FIT Matrix assessment
 Participation incentives for vendors include adequate representation and recognition of their capabilities/success in the market place, and a copy of their
own “profile” that is published by Everest Group as part of the “compendium of FIT Matrix vendors” profiles
What is the process for a vendor to leverage its FIT Matrix positioning status ?
 Vendors can use their FIT Matrix positioning in multiple ways including:
– Issue a press release declaring their positioning/rating
– Customized FIT Matrix profile for circulation (with clients, prospects, etc.)
– Quotes from the Everest Group’s analysts could be disseminated to the media
– Leverage the FIT Matrix branding across communications (e-mail signatures, marketing brochures, credential packs, client presentations, etc.)
 The vendor must obtain the requisite licensing and distribution rights for the above activities through an agreement with the designated Point
of Contact (PoC) at Everest Group
FAQs

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Everest Group FIT matrix for Robotic Process Automation (rpa) technology

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Everest Group FIT matrix for Robotic Process Automation (rpa) technology