RPA, AI and AlgorithmsA short market analysis

SIG Resource Center Thought Leaders Council

Updated 2017 September

TLC Members

Bank of Canada

Krystelle Bilodeau

Special Assistant to the

Chief Operating Officer

BB&T

Rohan Ranadive

Senior Vice President,

Enterprise Digital Strategy

Canon Business Process Services

Ted Ardelean

Director R&D

New Service Development

Honda North America

Bill Harris

Purchasing

Strategy Leader

Huntington National Bank

Debbie Manos-McHenry

Senior Vice President,

Chief Sourcing Officer

LexisNexis

Karen Gray

Senior Supply

Management Specialist

Mayer Brown

Brad Peterson

Partner

Ontala Performance Solutions

Linda Tuck Chapman

President

PwC

John Fafian

Director

Scotia Bank

Merrilee Evans

Director

Category Management

CNA Insurance

Tom Ciardiello

Consultant

SIG

Mary Zampino

Senior Director,

Global Sourcing Intelligence

Robotics Process AutomationAn Overview

What is RPA?

• What is RPA

• RPA or Robotic Process Automation are software tools (not physical

robots) designed to follow the exact "manual" path taken through

applications by people using user interface (UI) interactions or

connectors to servers, mainframes or HTML code. The RPA application is

called a robot. Once started the "robot" will follow the exact pathways

between screens and various data repositories as a person would. Some

RPA products may contain cognitive and artificial intelligence

capabilities.

• To construct a robot, usually a process analyst maps the process in great

detail and a software developer configures the RPA tool. A robot can be

configured, tested, and deployed in as little as 2 weeks.

Uses for RPA

• Uses for RPA robots vary widely. Typically used in high volume simple

repetitive applications such as data standardization, enrichment,

movement, matching. Robots move or populate data between

prescribed locations, look-up and compare/match data, perform

math calculations, document audit trails, trigger downstream

activities, etc.

• RPA can be deployed internally through a COE or through external

service providers. Some RPA products are available as a SaaS

model.

Where RPA Fits in Business and Technology

• Automate a manual task but not entire process without re-engineering

• Reduce or remove head count from batch data input/output tasks or data rekeying.

• Link two or more systems that cannot be connected to through other IT options

• Avoid major system integration, upgrade or replacement.

• Short Time to Market - Avoid long IT development pipeline

• Reduce error-rates, increase integrity of data, information, increase compliance

• Monitor system activities or machine/device status and report or trigger activities

• Enrich data by collecting data at a higher frequency than is practical or cost effective to do by

a person.

• Example:

• Login every 5 or 15 minutes and capture the status of a system or a machine and populate a database.

• Login every 15 minutes, check location of a truck, calculate ETA, send new ETA

• Log into a machine on the last day of the month, grab the meter read and put it into a data base

• Log into a machine at 3 am, check or update the settings, update per policy, report machines with faulty

settings.

RPA Strategy

Advantage Disadvantage

Build in-house COE

Single RPA tool/vendor

Multiple RPA tools/vendors

More customization

More agile RPA function

Shorter learning curve

Added labor

Capital Expense

Mgmt time

Risk of investments in

technologies in flux

Use Service Provider (outsource RPA

development and maintenance)

Avoid investments in

people, RPA tools,

hardware, facilities,

maintenance

Slower development

Less company expertise

Hybrid – RPA COE for strategic

business, outsourced the rest

Optimized cost Investments in technologies and

people that are in flux

ROI

• Individual tasks can be fully automated, eliminating 100% of labor &

up to 90% of cost

• Total efficiency improvement can be up to 50- to 75% of baseline

costs

Source: The Hackett Group & Symphony Ventures, 2017, A Blueprint for Getting Started With Robotic Process Automation

RPA Suppliers

Software Providers ITO/BPO Providers with RPA capabilities RPA Developers

Automation Anywhere – Meta Bot Accentire/Genfour Symphony Ventures

Blue Prism Cognizant Genfour

Epiance Infosysy Virtual Operations

Jacada Southerland Global

Kryon Systems – Leo IBM

Lexmark – Kofax Kapow Tech Mahindra – UNO

Nice - Conduent –fka Xerox

OpenConnect Fujitsu

Pegasystems AssistEdge (Infosys)

Redwood Software Syntel

Syntel – Synt Bots Tech Mahindra

UiPath Xerox (Conduent)

WorkFusion

Verint

Conextor

Source: Gartner, November 2016, Market Guide for Robotic Process Automation Software

More Supplier InfoRPA Software Provider Product Name Total Company Revenue (15/16) HQ

Automation Anywhere Meta Bot, IQ Bot Privately Held U.S.

Blue Prism Blue Prism $16 Million U.K.

Epiance Privately Held India

Infosys AssistEdge Part of Infosys India

Jacada Jacada $17 Million U.S.

Kyron Systems Leo Privately Held Israel & U.S.

Lexmark Kofax Kapow Part of Lexmark U.S.

Nice Nice RPA $1 Billion Israel

OpenConnect OpenConnect Indpendent U.S.

Pegasystems Pega Robotics - U.S.

Redwood Software Privately held U.K.

Syntel SyntBots

Tech Mahindra Uno India

UiPath UiPath Privately Held U.K.

Verint Verint Robotic Process Automation $1 Billion U.S.

WorkFusion Smart Process Automation Privately held U.S.

Xerox (Conduent) XAS $10 Billion U.S.

Source: Gartner, November 2016, Market Guide for Robotic Process Automation Software

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Source: Forrester, February 2017, The Forrester Wave™: Robotic Process Automation, Q1 2017, The 12 Providers That Matter Most And How They Stack Up

Service Providers

Specialist Independent RPA

Consultancies and Deployment

Assistants

Consulting, BPO and ITO Providers

• Genfour

• Symphony Ventures

• Virtual Operations

Accenture, arvato, Atos Origin, Cognizant, Capgemini, Dell,

Deloitte, EY, Genpact, HCL Technologies, HGS, IBM, Infosys,

KPMG, PwC, Sopra Steria, Sutherland Global Services, Syntel,

Tata Consultancy Services, Tech Mahindra, Wipro, WNS, Xerox

Source: Gartner, October 2015, Use Cases for Robotic Process Automation: Providing a Team of 'Virtual Workers

RPA Flavors

• Attended or unattended

• Crafting instructions for a bot to execute (think last Summit)

• Bot process independence

• Some limited or no AI or machine-learning capabilities

• Automatic performance documentation

• Availability of dashboards to orchestrate work between people or

bots or between bots

• Knowledge of best practice processes incorporated into the tool

Source: Gartner, November 2016, Market Guide for Robotic Process Automation Software

Onboarding

Source: The Hackett Group & Symphony Ventures, 2017, A Blueprint for Getting Started With Robotic Process Automation

Set a Course for Success

• Think transformation

• Think of RPA as “rapid” process automation

• Define automation objectives

• Think of other goals such as improving productivity, accelerating financial reporting cycles, redeploying

resources for higher-value activities, onshoring jobs again (but maintaining efficient costs) or improving

compliance

• Identify areas of high potential (quick wins) – see next slide

• Benchmark your performance with your peers before you get started

• Establish the right governance

• Work with IT

• Build a CoE

• Plan for change!

• Key considerations: changes to job design, roles, capabilities and skills

• Conduct pilot or proof of concept

• Don’t forget to involve IT!

Source: The Hackett Group & Symphony Ventures, 2017, A Blueprint for Getting Started With Robotic Process Automation

Identifying Potential Use Cases

• Basic characteristics of good candidates

• High-volume and high-frequency activities

• Repetitive, transactional activities

• Data-intensive activities

• Rule-based activities

• Tasks that pull data from disparate systems, thus requiring extensive manual

activity

• Activities with standardization opportunities; for example, where five people

currently perform the process five different ways

Source: The Hackett Group & Symphony Ventures, 2017, A Blueprint for Getting Started With Robotic Process Automation

Use Cases and Best-Practice Deployment Guidelines

• Automate an existing manual task or process with minimal process

re-engineering.

• Reduce or remove head count from batch data input and output

tasks or data rekeying.

• Link to external systems that cannot be connected to through other

IT options.

• Avoid major system integration projects or specific new major

application deployments.

• Replace individual "shadow or citizen IT" desktop automation with

enterprise-wide automation.

Source: Gartner, October 2015, Use Cases for Robotic Process Automation: Providing a Team of 'Virtual Workers'

Possibilities for Procurement

• Processing/turning purchase requisitions into POs

• Mass changes to POs that are related to specific suppliers

• Contract maintenance and management procedures, such as

checking that POs are correctly

• Matched to the negotiated prices

• Matching invoices to POs

• Updating catalogues

• Collating spend data across disparate ERP or expenses tools; such

as hotel or travel expenses

Source: Gartner, March 2017, Start Preparing Now for the Impact of AI on Procurement

Pricing Models

• One-time installation charge plus an annual license per automation

"robot"

• An annual license per automation "robot"

• Buying an instance of a robot in perpetuity

• Buying unlimited access, perhaps also paying on a threshold of

workers assisted or replaced

• Leveraging a SaaS model driven by commercial terms

• Accessing RPA tools through a BPO or IT outsourcing (ITO) provider's

services

Source: Gartner, October 2015, Use Cases for Robotic Process Automation: Providing a Team of 'Virtual Workers'

RPA Pricing / Costs

• RPA cost components consist of: Software license, Development

(labor) cost, associated hardware, labor to manage, monitor and

maintain the Robots

• Pricing for RPA technologies vary:• One-time installation charge plus an annual license per automation "robot"

• An annual license per "robot"

• Buying an instance of a robot in perpetuity

• Buying unlimited access, perhaps also paying on a threshold of workers

assisted or replaced

• Leveraging a SaaS model driven by commercial terms

• Accessing RPA tools through a BPO or IT outsourcing (ITO) provider's services

What’s in it for IT?

• RPA can offer quick wins to the entire organization by improving customer, employee and

supplier experiences of the IT systems, especially where many enterprise systems are deployed.

• RPA opens up a broader conversation about automating tasks in tools, as opposed to using

people as swivel chair integration, and allows the business and IT to work together on

professionalizing activities that are currently undermanaged, with limited sustainability as

shadow IT deployments.

• RPA will allow organizations to automate established processes with the current applications

and without the need for complex integration or IT coding. BPM deployments need IT

developers and scrum teams

• More is yet to come — automation tools, artificial intelligence and RPA as a combined group of

tools can achieve organizations' goals of optimizing business activities and address IT

challenges in the digital age or fourth industrial revolution. Optimizing the use of such tools is

essentially a team effort, which can no longer allow business activities to fall into the chasm

between IT and the business. Perhaps think of RPA as a digitalized, process-ambivalent tool.

Source: Gartner, October 2016, Robotic Process Automation: Eight Guidelines for Effective Results

Create a Joint RPA-IT Team

Opportunities

for Sourcing

and Sourcing’s

Project

Management

Skills?

Source: Gartner, October 2016, Robotic Process Automation: Eight Guidelines for Effective Results

Example Use Cases

• Finance and accounting activities

• Checking if invoice or order entry data is in the correct fields following optical character

recognition (OCR) data capture are some of the ways organizations are using RPA.

• Customer management • RPA uses here include onboarding, processing rule-based activities triggered from websites,

interactive voice response (IVR) systems, Web chat and mobile apps, collating data from

multiple disparate systems for customer service, orders, and checking systems for price and

delivery offers.

• Banking and insurance

• moving data for claims processing, predominantly from customer-facing websites

• card management for issuing replacements for lost or stolen cards, and reversal of card

charges

• and mortgage processing, with the resubmission of failed payments

Source: Gartner, October 2015, Use Cases for Robotic Process Automation: Providing a Team of 'Virtual Workers'

Top 10 System Features

• What to look for when comparing RPA Solutions• Architecture

• Hosting Options (Cloud, VM or Terminal)

• Virtual & Enterprise Applications Compatibility (proven integrations)

• Security & Governance• Release environments (dev > qa > uat > production + redundancy/fail-safe)

• Centralized Repository for Version Control, Execution Logs and Credentials

• UI Security

• Performance• Rapid Development Support (re-usable components)

• Large Group Deployment (scalable deployment)

• Rules-Based Exception Handling (handle exceptions in an intelligent, proactive, manner)

• Highly Elastic Scalability (scale up or down dynamically)

• Work Queues (pull transaction data from other robots)

Source: Top 10 RPA System Features, UI Path

Example Use Cases

• Genfour• Genfour worked alongside Co-operative Energy’s team to swiftly analyze, design,

map and automate the Change of Occupier Process, Online customer Sign up

Process and Deemed contracts process

• To handle highly variable volumes of customers’ documentation and payments

through its back office, Coral’s operation teams were under pressure to complete

workloads – accurately and on time

• NHS Scotland needed a solution to handle the workload of interfacing its current

screening IT system to an automated-grader

• Genfour built 10 processes to improve existing operations and automate

workarounds for a new customer management system – these now run

automatically, requiring minimal input from RAC

• Honda• See example here, RPA in Action: Your Robot Recruits Revealed

Source: Gartner, October 2015, Use Cases for Robotic Process Automation: Providing a Team of 'Virtual Workers'

Machine Learning and Artificial Intelligence

Machine Learning Technology: A Basic Diagram

Source: Gartner, May 2017, A Framework for Applying AI in the Enterprise

Impacts and Top Recommendations for Procurement Application Leaders

First step for

procurement

leaders?

Enable AI support

by identifying,

prioritizing and

investing in solutions

to support

automation of

specific

workstreams that

are not suited to

current systems

Source: Gartner, March 2017, Start Preparing Now for the Impact of AI on Procurement

Build, Buy or BPO?

• Pursue the "build" option if the proposed project would be a critical

differentiator for your business, you already have strong data

science skills in-house, and/or you require a high level of agility and

granularity of control.

• Pursue the "buy" option when available packaged applications are

well-suited to your use case(s), and when cost and time to solution

are more important than the differentiation or customization of your

machine-learning and data science solution.

• Pursue the "outsource" option if you lack the in-house talent to build

your own solution and packaged applications don't meet your

needs, or require prohibitive customization to do so.

Source: Gartner, November 2016, Machine-Learning and Data Science Solutions: Build, Buy or Outsource?

Recommendations for Sourcing Leaders

• Engage existing and prospective vendors proactively in markets where named user pricing metrics are

prevalent and where AI will disrupt more quickly, in order to understand their plans for incorporating AI in

current and new pricing models and metrics. Be prepared for vendors to try to monetize new pricing

metrics, and watch out for overt or covert pricing metric conversion tactics that result in either higher price

points or you having to repurchase functionality under new metrics.

• Assess new demand for named users, and reassign licenses obviated by AI in order to satisfy new demand

in other areas and avoid new expenditures. If you project new demand for named users in the short term,

then try to proactively negotiate the flexibility to exchange, assign or redeploy licenses.

• Negotiate pricing metric protections proactively in order to minimize incremental spending, thereby

allowing you to purchase incremental named users and renew under existing named user metrics so that

software providers cannot force you into alternative pricing metrics.

• Evaluate alternative providers fully before making significant investments to automate an existing system.

Source: Gartner, April 2017, Prepare for Big Changes in Software and SaaS Pricing, Driven by AI and IoT

Market Forces for AI Adoption

• Overwhelming demand (what’s possible)?

• Smart everything

• Competition

• Amazon, Google, Microsoft, Oracle, SAP and Salesforce — declared AI as

their top strategy in 2016

• Harnessing of Internet of Things (IoT) data

• By 2020, 20% of enterprises will employ dedicated people to monitor and

guide machine learning

• Ability to talk back

• Natural-language processing algorithms are continuously advancing

Source: Gartner, March 2017, Top 10 Strategic Technology Trends for 2017: Artificial Intelligence and Advanced Machine Learning

Providers Using AI/Machine Learning

• Spend Analytics

• Zycus, Coupa, SpendHQ

• Contract Analytics

• Seal, Kira, Ravn, Bightleaf, eBrevia

• Risk Management

• SAP, IBM Watson

• Talent Management

• Nétive VMS, DCR Workforce

Coupa, Zycus & DCR

Workforce are all in

attendance at this

Summit!

Source: Gartner, March 2017, Start Preparing Now for the Impact of AI on Procurement

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Source: Beroe Analysis, Category Intelligence on Artificial Intelligence, Q1 2017

GLOBAL MARKET SIZE:

$2.7 BILLION

Major End-use Industries

Manufacturing, Media & Advertising,

Healthcare, BFSI, Transportation, and

Automotive

Emerging Technology

ML, NLP, Image Processing,

and Speech Recognition

Top Products in AIMicrosoft Cortana | Google DeepMind | Microsoft Azure | HP haven OnDemand | Wipro

Holmes |

IBM Watson | TCS Ignio | Salesforce Einstein

Top Global Key Suppliers

Google | Microsoft | IBM | Facebook

| TCS | Infosys | Wipro | Fanuc |

Baidu | Apple | Siemens

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Example: Shifting Approach to Sales That Leverages AI and Machine Learning

Source: Gartner, May 2017, A Framework for Applying AI in the Enterprise

Some more examples

• Retail product recommendations

• Dynamic insurance pricing

• Online risk mitigation in hospitality (Airbnb uses it to create risk models to protect

customers)

• Optimized lending for loans (likely to default?)

• Retail banking fraud detection

• Real-time decisioning by city utilities

• Medical diagnostics

• Creation of safe working conditions (examines sensor data from the

measurement of air quality, equipment performance, employee productivity)

• Automated customer service (virtual assistants)

• Enhancement of the student experience

Source: Gartner, March 2017, 10 Strategic Technology Trends for 2017: Artificial Intelligence and Advanced Machine Learning

IT & IoT vs. Traditional SaaS Pricing Models

Source: Gartner, April 2017, Prepare for Big Changes in Software and SaaS Pricing, Driven by AI and IoT

Vendors: Data Science and Machine Learning

• Continuum Analytics, Austin, Texas, U.S. (www.continuum.io)

• DataRobot, Boston, Massachusetts, U.S. (www.datarobot.com)

• Experfy, Boston, Massachusetts, U.S. (www.experfy.com)

• Skymind, San Francisco, California, U.S. (https://skymind.ai)

Source: Gartner, May 2017, Cool Vendors in Data Science and Machine Learning

Vendors: Conversational Platforms

• Examples: chatbots, assistants, messaging platforms and other

natural-language processing (NLP) uses

• Cognitive Code, Los Angeles, California, U.S. (www.silvia4u.info)

• Drastin, Sunnyvale, California, U.S. (www.drastin.com)

• Fido.ai, San Mateo, California, U.S. (www.fido.ai)

• noHold, Milpitas, California, U.S. (www.nohold.com;

www.albertai.com)

• Semantic Machines, Massachusetts, U.S.

(www.semanticmachines.com)

Source: Gartner, May 2017, Cool Vendors in Data Science and Machine Learning

Vendors: Banking and Investment Services

• Cape Analytics, Mountain View, California

(www.capeanalytics.com)

• Hyper Anna, Sydney, Australia (www.hyperanna.com)

• Kensho, Cambridge, Massachusetts (www.kensho.com)

Source: Gartner, May 2017, Cool Vendors in AI for Banking and Investment Services, 2017

Vendors in East Asia

• Megvii, Beijing, China (www.megvii.com)

• Competitors: Microsoft, Baidu, Hikvision, SenseTime, DeepGlint, LinkFace,

Google, iOmniscient

• AISpeech, Suzhou, China (www.aispeech.com)

• Competitors: Baidu, Microsoft, Emotibot Technologies, Xiaoi, iFlytek, Unisound

and Mobvoi

• Appier, Taipei, Taiwan (www.appier.com)

• Fronteo, Tokyo, Japan (www.fronteo.com/global/)

• 4Paradigm, Beijing China (www.4paradigm.com)

Source: Gartner, May 2017, Cool Vendors for Artificial Intelligence, East Asia, 2017

Vendors in India

• Entropik Tech, Bengaluru, India (entropiktech.com)

• Fluid AI, Mumbai, India (www.fluid.ai)

• Mitra Biotech, Bengaluru, India (www.mitrabiotech.com)

• Smokescreen Technologies, Mumbai, India (www.smokescreen.io)

• The Hi-Tech Robotic Systemz, Gurgaon, India

(www.hitechroboticsystemz.com)

Source: Gartner, May 2017, Cool Vendors for Artificial Intelligence in India, 2017

Example

• Scope of Work: Cognitive Support Systems: Customized Tools for Complex Clinical Decision-Making

• Delivery requirements

• Own an EHR system

• design, develop, implement and support a series of medical applications based on the research generated from the

Cognitive Support Systems

• Host software and hardware

• Design, develop and maintain end-user documentation

• Incorporate existing applications

• Provide ongoing support

• Payment Schedule: Payments will be made in four equal installments (25% per installment) over the course

of one year. The first payment (25%) will be made at the completion of the requirements stage.

• Pricing Schedule: • Phase 1: initial design of requirements

• Phase 2: Design Interface Mock-Up

• Phase 3: Fully functioning interface

• Phase 4: Acceptance Testing

References

• 10 Strategic Technology Trends for 2017: Artificial Intelligence and Advanced Machine Learning, Gartner, March 2017

• A Blueprint for Getting Started With Robotic Process Automation, The Hackett Group & Symphony Ventures, 2017

• A Framework for Applying AI in the Enterprise, Gartner, May 2017

• Category Intelligence on Artificial Intelligence, Beroe Analysis, Q1 2017

• Cool Vendors for Artificial Intelligence in India, 2017, Gartner, May 2017

• Cool Vendors for Artificial Intelligence, East Asia, 2017, Gartner, May 2017

• Cool Vendors in AI for Banking and Investment Services, 2017, Gartner, May 2017

• Cool Vendors in Data Science and Machine Learning, Gartner, May 2017

• Machine-Learning and Data Science Solutions: Build, Buy or Outsource?, Gartner, November 2016

• Market Guide for Robotic Process Automation Software, Gartner, November 2016

• Prepare for Big Changes in Software and SaaS Pricing, Driven by AI and IoT, Gartner, April 2017

• Robotics Process Automation (RPA) - Technology Vendor Landscape with FIT Matrix Assessment - Technologies for Building a "Virtual Workforce" -

Market Report - Everest Global, December 2016, http://www2.everestgrp.com/Files/previews/RPA%20-

%20Vendor%20Landscape%20with%20FIT%20Matrix%20-%20Preview%20Deck.pdf

• Start Preparing Now for the Impact of AI on Procurement, Gartner, March 2017

• Start Preparing Now for the Impact of AI on Procurement, Gartner, March 2017

• The Forrester Wave™: Robotic Process Automation, Q1 2017, The 12 Providers That Matter Most And How They Stack Up, Forrester, February 2017,

https://www.edgeverve.com/wp-content/uploads/2017/02/forrester-wave-robotic-process-automation.pdf

• Top 10 RPA System Features, UI Path, https://www.uipath.com/blog/what-to-look-for-top-10-rpa-system-features

• Top 10 Strategic Technology Trends for 2017: Artificial Intelligence and Advanced Machine Learning, Gartner, March 2017

• Use Cases for Robotic Process Automation: Providing a Team of 'Virtual Workers', Gartner, October 2015

Additional References Available via SIG

A Blueprint for Getting Started With Robotic Process AutomationThis paper outlines six steps that can set a fast but successful course for integrating RPA into

business services operations:

• Think “transformation” before thinking tools

• Define automation objectives

• Identify areas of high potential

• Establish the right governance

• Plan for transformation

• Conduct a proof of concept or pilot

Category Intelligence on Artificial Intelligence

From Beroe

• Global Outlook

• Market Analysis (Global Trends, Regional Outlook, Porter’s Five Forces)

• Supplier Analysis (Profiles, Key players & products, By industry)

• Pricing Analysis (including Outsourcing AI)

Access to this report available through SIG buy-side membership

Contact SIG for more information (info@sig.org)

Additional References Available via SIG

The Game Changers of 2017: RPA, AI and Algorithms, Part I

• Part I in this series of presentations

• Topics:

• How to speak knowledgeably about RPA, AI and Algorithms

with beneficial resources to guide your journey

• Real world case studies of successful adoption

• The benefits, risks and lessons learned from the frontline

Other fantastic resources in the SIG Resource Center:

• Beyond RPA: Revamping Operations with New Digital Process Models• How operations can be transformed to become more digital in nature• The impact of digitalization on organizational competitiveness• How to combine internal and external data to enhance operational effectiveness

• Are You Ready for Robots in Procurement?• Procurement automation• Key use cases for procurement automation• How to calculate a return on investment (ROI) on automation, and specifically how key procurement metrics are

positively impacted by robots

• The Keys to Maximizing Value from Robotics Process Automation• Where and how RPA is being most (and least) successfully applied• The level of benefit and ROI achieved from RPA• The commercial implications of RPA on outsourcing contracts• What's next for RPA

Some Additional Reading Not Referenced

• 11 ways to address RPA and AI in IT outsourcing contracts: http://www.cio.com/article/3157393/outsourcing/11-ways-to-address-rpa-and-ai-in-it-

outsourcing-contracts.html?page=2

• Contract Renewal – Walking the Walk on RPA: http://alsbridge.com/index/module-article-detail/contract-renewal-walking-the-walk-on-rpa

• Seizing the Robotics Process Automation (RPA) Market Opportunity: https://www.gita.org.in/Attachments/Reports/8%20NASSCOM-ERI-

RPA%20Market%20Opportunity%20-%20NASSCOM.pdf

• How to select the right candidate for Robotic Process Automation? http://virttia.com/2015/10/how-to-select-the-right-candidate-for-robotic-

process-automation/

• An ROI Calculator: https://automation.knowit.ee/rpa-roi/

• Another ROI Calculator: https://www.robotics.org/content-detail.cfm/Industrial-Robotics-Industry-Insights/Calculating-Your-ROI-for-Robotic-

Automation-Cost-vs-Cash-Flow/content_id/5285

• How to Measure IT Process Automation ROI: http://ayehu.com/wp-content/uploads/2016/02/How-to-Measure-IT-Process-Automation-Return-on-

Investment-ROI-By-Gabbi-Nizri-Ayehu.pdf

• Robotics process automation (RPA): The Next Revolution of Corporate Functions: https://www.fr.capgemini-consulting.com/resource-file-

access/resource/pdf/robotic_process_automation_the_next_revolution_of_corporate_functions_0.pdf

• How AI and Crowdsourcing are remaking the Legal Profession: https://www.fastcompany.com/3059725/how-ai-and-crowdsourcing-are-remaking-

the-legal-profession

TLC Members

Company Name Title

Bank of Canada Krystelle Bilodeau kbilodeau@bank-banque-canada.ca

BB&T Rohan Ranadive rranadive@bbandt.com

Canon Business Process Services Ted Ardelean tardelean@cbps.canon.com

Honda North America Bill Harris bill_harris@hna.honda.com

Huntington National Bank Debbie Manos-McHenry deborah.manos-mchenry@huntington.com

LexisNexis Karen Gray karen.gray@lexisnexis.com

Mayer Brown Brad Peterson BPeterson@mayerbrown.com

Ontala Performance Solutions Linda Tuck Chapman lindatuckchapman@ontala.com

PwC John Fafian john.j.fafian@pwc.com

Scotia Bank Merrilee Evans merrilee.evans@scotiabank.com

CNA Insurance Tom Ciardiello tjciardiello@gmail.com

SIG Mary Zampino mzampino@sig.org