The document provides a summary of the FRCC Bot Index for the second quarter of 2019. It includes insights on 1,106 reported bots across various federal agencies, state governments, and higher education institutions. The bots were developed using various RPA and chatbot software and are being used across different sectors and business processes. The majority of reported bots for federal agencies are automating data management and finance processes, while most bots for state/local governments and higher education are deployed in call centers. The document also discusses emerging technologies like chatbots and provides details on submitting bots to the index for the next quarter.
2. Introduction
Introducing the FRCC, the Bot Index, and
the purpose of both
Reported Bots
Insights on reported bots by sector, status, vendor,
business process, accreditation, and more
Emerging Technology
Insights on the latest technology the Bot
Index is tracking
Next Quarter
Submitting your bot to the index and
requesting additional data
Summary
2019 Quarter 2 results at a glance
3. 2019 Q2 Results at a glance
FRCC & Bot Index
Introduction
Introducing the FRCC, the Bot
Index, and the purpose of both
4. Welcome to the publishing of the Federal Robotics &
Cognitive Consortium’s (FRCC) Bot Index.
The FRCC is a select team of cross-agency Federal
leaders and innovators convening on a regular basis to
research, collaborate, share, and accelerate
innovations in robotics and cognitive innovation.
This focused consortium includes executive innovators
from across Federal Agencies who are or have
indicated desire to help their organizations become
leaders in robotics and cognitive.
The purpose of the FRCC is to establish a monthly
forum where Federal leaders can engage in open
dialogue to:
• Research and discuss marketplace insights and
trends
• Collaborate on challenges and accomplishments
• Share best practices and gain efficiencies from
lesson-learned
• Accelerate ideation
• Build and share expertise
• Network with other innovators
We look forward to continuing to bring the community insights on robotics and cognitive.
Sincerely,
F R C C B O T I N D E X – Q 2 2 0 1 9
Ann Fallon
Government Co-Chair
Director of Accounting Operation
Dept. of Treasury
Ann.Fallon@fiscal.treasury.gov
Marc Mancher
Industry Co-Chair
Principal
Deloitte Consulting
jmancher@deloitte.com
Bot Index
Bot Index is a data driven summary of the existing Robotics landscape within the Federal and State Local
and Higher Ed (SLHE) Government. Published quarterly, the Bot Index demonstrates which sectors, vendors,
and business processes are leading in the Robotics space.
Purpose
The primary goal of the Bot Index is to provide insight to the community on the current state of robotics
innovation in Government and Public Services. The index will also further the FRCC goal of fostering a
community around robotics by identifying connection points and mentorship possibilities across the
community and encourage information sharing on best practices and standardizing delivery.
Data Sources
The Bot index is comprised of data collected from agencies, vendors, system integrators, and other
stakeholders delivering RPA in the government. Data from any and all sources is welcomed and will be
validated and included each quarter as the Bot Index is published. All data will be aggregated and reported by
sector. Agency names will not be shared, reported, or released without written agency approval.
5. FRCC Bot Index
Reported Bots
Insights on reported bots by sector,
status, vendor, business process,
accreditation, and more
6. F R C C B O T I N D E X – Q 2 2 0 1 9
Analysis
1,106 bots reported across 43 unique
organizations to 34 Federal agencies or
departments, 8 State government agencies,
and 1 higher education institution
Bots reported were developed using 6
different RPA and 2 Chatbot software solutions
as well as internal government agencies
The Bot index is comprised of data collected
from agencies, vendors, system integrators, and
other stakeholders delivering RPA in the
government
Federal Agencies and Departments
State Government Agencies
Higher Ed Institutions
Total Organizations
Source: FRCC Bot Index as of May 2019
1
8
34
43
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
7. F R C C B O T I N D E X – Q 2 2 0 1 9
Analysis
State, Local, and Higher Ed has reported 500+
bots deployed in call center environments,
accounting for the majority of their reported
automations
In the Federal space, the largest sector is
Defense, Security, and Justice, reporting 292
bots, the majority of which are being used to
automate financial processes
Breakdown of reported automations by
Civilian, DS&J, Health, and SLHE sectors
132
292
163
519
0
100
200
300
400
500
600
Civilian Defense,
Security, &
Justice
Health State, Local, &
Higher Ed
NumberofBots
Source: FRCC Bot Index as of May 2019
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
8. Definitions
Pre-POC – processes for automation are being explored, but have not yet
been awarded, designed, or developed
In Development – automation is being designed and developed for either
a POC, Pilot, or Production bot, but is not yet complete
POC (Proof of Concept) – automation that has been developed and tested
on a local machine in a non-production environment for the purpose of
demonstrating the capability of RPA
Pilot – automation that has been developed and tested in a test
environment for use on a preliminary set of data or under limited use
production data
Production – automation that is tested and transferred into a production
environment with production data
Production
F R C C B O T I N D E X – Q 2 2 0 1 9
Breakdown of reported automations by
development status
Pre-POC
POC
In Development
Pilot
75% of reported
Federal and SLHE
bots are currently
in Production
Source: FRCC Bot Index as of May 2019
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
8%
13%
3%
75%
1%
9. F R C C B O T I N D E X – Q 2 2 0 1 9
Federal Bots
43% of reported Federal agency bots are automating data
management processes, including data entry and data reconciliation
Breakdown of reported automations by business
process for Federal and SLHE
Other 10%
Chatbot <1%
Admin 2%
Procurement 3%
Mission 1%
IT 2%
HR 4%
Data Mgmt 43%
Finance 35%
State, Local, and Higher Ed Bots
96% of reported State, Local, and Higher Ed bots are automating call
center processes, including tracking call logs
Admin 2%
Other 1%
Call Center 96%
Source: FRCC Bot Index as of May 2019
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
10. F R C C B O T I N D E X – Q 2 2 0 1 9
Federal Bots
34% of reported Federal agency bots were developed using
Automation Anywhere
Breakdown of reported automations by software
vendor for Federal and SLHE
Softomotive
UiPath
Blueprism 3%
Other 2%
(Artificial Solutions, Nuance,
MS Azure, not awarded and
not reported bots)
Kofax
Automation
Anywhere
State, Local, and Higher Ed Bots
98% of reported State, Local, and Higher Ed bots were
developed using Automation Anywhere
8%
25%
28%
34% UiPath 1%
Not Awarded 1%Automation
Anywhere
98%
Source: FRCC Bot Index as of May 2019
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
11. Definitions
Attended – the automation must be triggered by a human
Unattended – the automation can be scheduled to run in the
cloud without a human triggering the action
Not Reported – attended status was not reported
F R C C B O T I N D E X – Q 2 2 0 1 9
Analysis
63% of reported automations are attended, however,
unattended automations are increasing as organizations
increase their maturity in the robotics and cognitive space
Breakdown of reported automations by
attended status
Attended
Unattended
Not Reported
63%
22%
15%
Source: FRCC Bot Index as of May 2019
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
12. Definitions
ATO – the agency has a full Authority to Operate (ATO) for the software
ATT – the agency has an Authority to Test (ATT) for the software
None – the agency does not have an ATO for the software
Other – the agency uses an alternative method for accreditation
Not Reported – accreditation method was not reported
F R C C B O T I N D E X – Q 2 2 0 1 9
Analysis
Agencies are still working to standardize their accreditation methods
as they mature their understanding of robotics and cognitive
Breakdown of reported Federal automations by
software accreditation method
ATO
None 3%
Not Reported
ATT 4%
Other
40%
48%
Source: FRCC Bot Index as of May 2019
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
14. F R C C B O T I N D E X – Q 2 2 0 1 9
What are chatbots?
Intelligent chat is AI-driven chatbots.
Regardless of the type of task it
automates, or its level of
sophistication, a chatbot is simply a
computer program that uses human
language for interactions
Recent advances in Natural Language
Processing have improved chatbots’
ability to understand human
language and Machine Learning has
allowed bots of all types to automate
more sophisticated types of tasks
Vendors and Projects
This quarter’s Bot Index features chatbots for the first time. We have captured 2
projects with bots developed by Artificial Solutions and Nuance. Submit your
chatbot projects to the FRCC Index for Quarter 3.
What can intelligent chat do?
Transactional
Allow users to complete
transactions and/or interact
with accounts
• Make a payment
• Reset a password
• Submit a form
• Create an Account
• Check on service ticket
status
Advisory
Make recommendations based
on customer’s unique profile or
needs
• Provide customized advice
and products based on user
profile
• Proactive notifications
Informational
Provides general information to
customers and employees
• Frequently asked questions
• News and updates
• Guide users within website
• Understand Notices/Actions
Needed
Bot Conversational
AI
Intelligent Chat
15. FRCC Bot Index
Next Quarter
Submitting your bot to the index
and requesting additional data
16. F R C C B O T I N D E X – Q 2 2 0 1 9
Collection efforts for the next
collection will begin in early
summer 2019
Please respond to the information
requests in a timely manor
New responses or updates can be
submitted to the Bot Index at any
time – send an email to
FRCCAdmin@Deloitte.com
The next publishing of the Bot
Index will be in August 2019
Be sure to be on the lookout for
the information request and
submit your organization’s data
Several agencies have given
authorization to share their bot’s
raw data with other government
organizations
To see this data, please submit a
request to
FRCCAdmin@Deloitte.com
Submitting a project to the
FRCC Bot Index
Requesting Government to
Government data
Next quarterly publishing:
August 2019
Submitting projects, looking toward the next
publishing, and requesting additional data
18. F R C C B O T I N D E X – Q 2 2 0 1 9
The Bot index is comprised of data collected from agencies, vendors, system integrators, and other stakeholders delivering RPA in the government. To receive the
full report or submit information to be included in the index, contact FRCCAdmin@Deloitte.com
DEVELOPING ENTITIES
7 Organizations (developed internally)
2 Chatbot Vendors
6 RPA Vendors
REPORTING ORGANIZATIONS
34 Federal Agencies
38 State Gov’t Agencies
31 Higher Ed Institutions
43 Total Organizations
PURPOSE
Bot Index is a data driven summary of the existing
Robotics landscape within the Government. Published
quarterly, the Bot Index demonstrates which sectors,
vendors, and business processes are leading in the
Robotics space. The primary goal is providing insight to
the community on the current state of robotics innovation in
government, as well as encouraging information sharing
on best practices and standardizing delivery.
.
STATE, LOCAL, HIGHER ED
500+ bots are deployed in call center environments,
accounting for 96% of reported automations and 98% of
bots were developed using Automation Anywhere
FEDERAL
Defense, Security, and Justice are the largest sector with 292
bots that are mostly used to automate financial processes.
43% are automating data management processes, including
data reconciliation and 34% were developed using
Automation Anywhere
EMERGING TECHNOLOGY
This quarter’s Bot Index features chatbots for the first time.
A chatbot is simply a computer program that uses human
language for interactions. Chatbots can perform
transactional, advisory, and informational interactions
Source: FRCC Bot Index as of May 2019
The data included in the FRCC Bot Index is not an exhaustive representation of all automations within Government and Public Services, but rather a summary
of the data provided by agency officials, vendors, system integrators, and other stakeholders who wish to report on their automation work
The May Bot Index experienced 20%
growth since the March Bot Index
publishing, which reported 919 Bots