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The Services Research Company
Getting Smarter with Process Automation
A Webinar Discussion Advancing the Conversation
June	2nd,	2016
Host:
Phil	Fersht,	CEO	&	Chief	Analyst,	HfS	Research
phil.fersht@hfsresearch.com
@pfersht	#hfsresearch	
Web:	www.hfsresearch.com |		Blog:	www.horsesforsources.com
Overview:
• 20	years’	business	 experience	in	the	global	IT	and	business	 process	
outsourcing	and	shared	services	industry	
• Coined	the	“As-a-Service	Economy”	in	2014
• Industry	analyst,	author,	speaker,	strategist	and	blogger
• Advised	and	cogitated	on	100’s	of	global	IT	services,	BPO	and	shared	
services	engagements
• Meddles	with	the	largest	global	network	of	enterprise	services	and	
operations	professionals	
Career	Experience:
• Practice	Lead,	IT	Services	&	BPO	Research,	Gartner,	Inc
• Global	BPO	Marketplace	Leader, Deloitte	Consulting	
• Consulting	 Practice	Lead,	IDC	Asia/Pacific
• IT	Markets	Practice	Lead,	IDC	Europe
Education:
• BS	with	Honors	in	European	Business	 &	Technology,	Coventry	University,	
United	Kingdom	
• Diplôme	Universitaire	de	Technologie	in	Business	 &	Technology	from	the	
University	of	Grenoble,	France	
phil.fersht@hfsresearch.com
Phil Fersht, CEO and Lead Analyst, HfS Research
• World’s	largest	taxi	company	owns	no	Taxis:
• Uber
• The	most	popular	media	owner	creates	no	content:
• Facebook
• Largest	accommodation	provider	owns	to	real	estate:
• Airbnb
• Largest	phone	companies	own	no	telecom	infrastructure:
• Skype,	WeChat
• World’s	most	valuable	retailer	has	no	inventory:
• Alibaba
• Fastest	growing	banks	have	no	actual	money:
• SocietyOne
• The	world’s	largest	movie	house	owns	no	cinemas:
• NetFlix
• Largest	software	vendors	don’t	write	the	apps:
• Google
• The	most	popular	emerging	research	firm	doesn’t	sell	research	reports:
• HfS
Data is Eating our World!
Senior Management Driving Customer First Thinking
Please	indicate	whether	you	agree	or	disagree	that	Sourcing	of	external	as-a-Service	models	will	be	
driven	by	a	“Customer	First”	strategy
Source: “Intelligent Operations" Study, HfS Research 2016
Sample: Buyers = 371
51%
46%
SVP+ VP	and	below
Over	half	of	upper	management	(51%)	
view	this	as	impacting	sourcing	model	
change	and	strategy	more	than	any	other	
business	 driver
2020 Vision: The “Intelligent OneOffice” will emerge
from Digital + Automation
The	Digitally-Driven	Front	
Office
Mobile,	Social/Interactive,	Real-time	
actionable	data,	Design	Thinking	
Digital	Underbelly
Intelligent	Automation	
of	manual	processes
Digitization	of	
documents
IoT
Intelligent	Digital Support	
Function
Front	office-aligned	IT,	Finance,	
HR,	Procurement,	Supply	Chain
Intelligent	Digital	
Processes	
Predictive	&	
Operational	Analytics,	
Cognitive.
The	Customer-first	Digital	
Organization	
The	Enabling	Intelligent	
OneOffice
The Nervous System,
incepting & Processing
all Inputs
The
Neural System
The
Circular System
©	HfS	Research	2016	(Proprietary)
How	enterprise	buyers	would	improve	the	quality	and	
outcomes	from	their	current	service	relationships…
28%
13%
9%
45%
4%
2%
Letting	go	and	giving	up	more	higher-value	work	to	
our	service	provider(s)
Threatening	to	entertain	competitive	bid(s)	to	force	
your	current	provider(s)	to	up	their	game
Bring	back	more	work	in-house	and	improve	it	
ourselves
Roll	out	an	automation	strategy	in	tandem	with	our	
provider
Bring	in	a	specialist	advisor	to	recalibrate	our	
relationship(s)	and	get	us	on	the	right	course	for	As-
a-Service
Not	a	lot	– we	paid	for	“cheap	and	cheerful”	and	
that’s	what	we’re	stuck	with
Source:		The	HfS	Working	Summit	for	Service	Buyers,	December	2015
(Sample	53	enterprise	outsourcing	leads)
©	2016	HfS	Research
Service	Providers	Overall	RPA	Activity	in	F&A	BPO	as	%	of	Deals		
Number	of	Contracts	=	267	Live	Contracts	in	2015
RPA use focused on IT currently, with F&A in a high
adoption swing
8%
8%
8%
9%
8%
8%
10%
6%
9%
10%
17%
17%
18%
17%
19%
21%
19%
23%
23%
23%
Human	Resources
Procurement
Industry-specific	Process	(i.e.	claims	
processing)
Sales
Supply	Chain	and	Logistics
Customer	Service	/	Sales	Support
Marketing	
Finance	and	Accounting
IT	application	maintenance	&	development
IT	and	Network	infrastructure	 support
Full	scale	RPA Implementing	/	using	RPA	actively
Source: “Intelligent Operations" Study, HfS Research 2016
Sample: Buyers = 371
©	2016	HfS	Research
©	2016	HfS	Research
RPA
1.0
HfS Research has been writing about Intelligent Automation
for 4+ years
Over the last 4 years we have seen the following emerge:
nAn	active	market	for	third	party	Intelligent	
Automation	(and	mixed	results	for	service	
provider	developed	proprietary	tools)
nAn	increasingly	wide	spread	understanding	of	
the	the	base	business	case	for	Robotic	
Process	Automation	(RPA)	in	enterprises	and	
service	providers	but	continued	confusion	
over	Cognitive
nThe	inclusion	of	Intelligent	Automation	in	new	
solution	proposals	(and	almost	all	
renewals/re-bids)
nEarly	adopters	of	Intelligent	Automation	
taking	a	leap	of	faith	in	deployments	and	by	
doing	so	beginning	the	change	the	services	
industry
©	2016	HfS	Research	Ltd.
But today, the topic of Intelligent Automation is in danger
of becoming overheated, overhyped and confused
nEnterprises	and	service	providers	have	
become	fixated	on	potentially	unattainable	%	
savings	targets
nToo	many	enterprises	are	”Locking	down”	
processes	as	they	are	today	rather	than	
reinventing	processes	around	the	technology
nMany	Intelligent	Automation	deployments	are	
focused	on	the	sub-process	(“granular”)	
rather	than	being	enterprise-wide	(“holistic”)
©	2016	HfS	Research	Ltd.
The HfS Service Buyer Summits…
www.hfsevents.com/new-york-2016
©	2016	HfS	Research	Ltd.
The focus on efficiency and effectiveness should be
across the HfS Continuum of Intelligent Automation
trigger	based
Characteristic	of	process
rules	based
dynamic	language
rules	based
standardized	language
Structured
Characteristic	of	data/information
Unstructured	 without	patternsUnstructured	 patterned
Data	Center
Automation:
Runbook
Scripting
Scheduling
Job	control
Workload
automation
Process
orchestration
SOA
Virtualization
Cloud	services
RPA
Cognitive
Computing
Artificial
Intelligence
BPM
Workflow
ERP
Autonomics
What’s Hype versus Reality?
What	do	you	believe	to	be	the	most	important	components	of	the	value	proposition	for	Intelligent	
Automation?	(Choose	Top	3)
Source:	"Ideals	of	As-a-Services"	Study,	HfS	Research	2015
Sample:	Total	=	716;	Enterprise	Buyers	=	178;	Advisors/Consultants	=	176;	Service	Providers	=	372
65%
50%
38%
35%
32%
29%
24%
21%
18%
3%
Driving	more	predictability	and	higher	quality	in	the	processes
Speeding	up	the	time	to	complete	the	processes
Freeing	up	staff	to	move	to	different	projects
Reducing	costs	on	a	continual	 basis,	beyond	the	scope	of	the	contract
Creating	more	reliable	data	sets	for	analytics
Increasing	the	standardization	of	processes
Enabling	us	to	move	to	business-outcomes	vs.	FTE	pricing
Eliminating	staff	positions
Increasing	control/visibility	of	end-to-end	processes
Gaining	a	competitive	advantage	in	my	industry
What does
“Smart”
mean?
18
SPA	combines	all	of	the	tools	necessary	to	automate	a	complex	
business	process	from	end	to	end:
OCR
Web	
Scraping
Text	
Analytics
Info
Extraction
Machine	Learning-enabled	solutions	
to	replace	previous	generation	tech
Business	Process	
Mgmt.
Robotic	Process	
Automation
Foundational	capabilities	to	turn	IT	
projects	into	business	initiatives
Orchestration	of
Human	Labor
Tools	to	find	the	best	workers,	and	send	the	
work	to	just	the	right	person	via	great	UX
Cognitive	
Automation
Shift	cognitive	load	to	machines,	
re-deploy	human	workers	to	high-value	work
Insights
Don’t	speed	up	the	process,	refactor	the	process
It’s	important	to	understand	the	type	of	manual	work	that	
“Robotics”	and	“Cognitive”	each	automate:
Hand	work
Robotics	
“aka”	RPA
i.e.	entering	data	from	one	
application	into	another
Head	work
Cognitive	
Automation
i.e.	extracting	information	
from	unstructured	sources
Cognitive automation uses machine learning (ML) to train on a process
by watching humans on a worker interface:
The	ML-powered	cognitive	approach	learns	and	improves	
algorithm	accuracy	as	more	data	comes	in.
Source
the data
Producethe
output
Create the model Refine the model
CASE STUDY
Global	financial	institution	achieves	80%	smart	automation	and	
100%	compliance	for	a	invoice	process
1
Situation
§ A	global	financial	institution	was	manually	
reviewing	and	approving	a	sampling	of	
vendor	invoices
§ Only	10%	of	thousands	of	invoices	were	
reviewed	due	to	resource	constraints
§ Each	invoice	required	5-8	mins	of	human	
work
Approach
§ WorkFusion’s	human-in-the-loop	OCR	
improved	accuracy	to	over	99%
§ Robotic	automation	deployed	for	desktop	
UIs
§ Machine	learning	(ML)	cognitive	
automation	deployed	for	categorization	and	
extraction	work
§ Exceptions	automatically	escalated	to	
humans	for	processes	and	continuous	
algorithm	optimization
Results
Smart Process
Automation Rate:
80%
Achieved
Accuracy Rate:
99.6%
Projected FTE
Reduction in 2016:
55%
Smart
Automation
80%
100%
80%
60%
40%
20%
0%
Initial	State Robotics Cognitive Human
30%	
cognitive
automation
5%	
human	worker	
UX	improvements
Target	State	of	Invoice	Process	(Traditional	RPA	vs.	WorkFusion)
45%	
robotic	
automation
25%	Additional	 Gains
via	OCR	+	Digitization
20%	Traditional	RPA	
Achieved	To-Date Target	State
Questions?
adam@workfusion.com
What does
“Smart” mean
in 2 years’
time?
What does
“Smart” mean
to the
Enterprise?
How important is
Natural Language
Processing to the
evolution of
automation?
What has to change to
make this a reality?
(In technology, enterprise
behavior, the market
overall, the economy)
Is Intelligent Automation the Place to Start?
What	is	the	most	impactful	timing	to	begin	these	actions?
16%
19%
18%
19%
20%
24%
21%
23%
28%
31%
33%
33%
32%
30%
34%
34%
33%
30%
32%
29%
26%
30%
28%
26%
18%
15%
11%
13%
16%
12%
10%
12%
5%
6%
6%
7%
5%
4%
7%
4%
Replace	your	existing	(legacy)	service	provider(s)	
with	“As-a-Service”	driven	providers
Accomplish	creative	problem	solving	/	"Design	
Thinking"
Retrain	existing	internal	operations	talent	to	
redesign	processes
Invest	in	specialized	change	management	support	
to	reorient	operations	staff
Invest	in	internal	IT	talent	to	help	us	migrate	away	
from	legacy	systems
Invest	in	effective	analytics	tools	&	skill
Identify	/	hire	a	transformational	leader	/	change	
agent
Invest	in	intelligent	automation
Now Within	the	next	year Within	3	years Within	5	years Never
Source: “Intelligent Operations" Study, HfS Research 2016
Sample: Buyers = 371
What types of skills do we need now versus the
future?
To	what	extent	are	the	following	talent	requirements	increasing	in	importance,	
in	order	to	gain	more	value	from	your	operations?	 (Increasing	significantly)		
32%
34%
34%
36%
36%
39%
27%
27%
29%
27%
29%
36%
Analytical	prowess	to	improve	operations	/	
productivity
Exploring	new	ways	of	partnering	across	the	
services	ecosystem
Understanding	/	using	digital	technology	to	
improve	business	performance
Proactively	identifying	new	ways	of	doing	things	
that	break	old	habits
Understanding	/	using	automation	to	improve	
business	performance
Defining	business	outcomes	
VP	and	Below SVP	+
Source: “Intelligent Operations" Study, HfS Research 2016
Sample: Buyers = 371
Where do we see
greater value?
Software or the
services around it?
About HfS Research
We	coined	the As-a-Service	Economy term	because	we	see	a	profound	change	under	way	that	is	more	all-encompassing	 than	
a	simple	business	model	or	product	line.	It's	a	global	shift	that	will	leave	few	sectors	of	business	or	society	untouched.
To	help	our	clients	and	the	market	get	to	the	As-a-Service	Economy,	we	serve	the	strategy	needs	of	business	operations	
and	IT	leaders	across	finance,	 supply	chain,	human	resources,	marketing,	and	core	industry	functions	in	organizations	
around	the	world.	HfS	provides	insightful	and	meaningful	analyst	coverage	of	best	business	practices	and	innovations	that	
impact	successful	 business	outcomes,	 such	as	the	digital	transformation	of	operations,	cloud-based	business	platforms,	
services	talent	development	 strategies,	process	automation	and	outsourcing,	mobility,	analytics	 and	social	collaboration.	
HfS	applies	its	acclaimed Blueprint	Methodology to	evaluate	the	performance	of	service	and	technology	in	terms	of	
innovating	and	executing	against	those	business	outcomes.
HfS	educates	 and	facilitates	 discussions	among	the	world's	largest	knowledge	community	of	enterprise	services	
professionals,	currently	comprising	100,000+	subscribers	and	members.	HfS	Research	facilitates	 the	HfS	Sourcing	
Executive	Council,	the	acclaimed	 elite	 group	of	sourcing	practitioners	from	leading	organizations	that	meets	 bi-annually	to	
share	the	future	direction	of	the	global	services	industry	and	to	discuss	the	future	enterprise	operations	framework.	HfS	
provides	sourcing	executive	council	members	with	the	HfS	Governance	Academy	and	Certification	Program	to	help	its	
clients	improve	the	governance	of	their	global	business	services	and	vendor	relationships.
HfS	trailblazed the	freemium	research	model.	More	than	75%	of	our	published	research	requires	just	a	few	check	boxes	in	
our	simple	registration	to	download—no	subscription,	no	hassles.
See	how	we're	revolutionizing	the	research	business	with	the Four	Pillars	of	HfS	Research—our	guiding	principles.	Learn	
more	about our	services.

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