Introducing ChatCenter Ai

Yusuke Takahashi, PhD 
Founder & CEO, AppSocailly yt@appsocial.ly
Introduction to
ChatCenter Ai

founders@appsocial.ly angel.co/appsociallyTable of Contents
Table of Contents
Summary
Problem + Solution
How It Works
Our Philosophy
About AppSocially

founders@appsocial.ly angel.co/appsociallyTable of Contents
Table of Contents
Summary
Problems + Solution
How It Works
Our Philosophy
About AppSocially

founders@appsocial.ly angel.co/appsociallySummary
ChatCenter Ai, is the human-robot hybrid business-
customer conversation platform
‣ HOW: (1) We make our AI engine learn how you communicate with your real
customers (data-driven approach), (2) while streamlining manual conversation
(design approach). (3) Thus no upfront cost required for creating training data
‣ WHY: Businesses need the cost-effective + realistic way to streamline and
automate conversation with their customers, to replace most part of labor centric
human conversation by robot, while making human focus on what they are great at.
(Based on our experience for 2 years so far, this is the best strategy for enterprises to invest in AI, in short
and longer terms.)

Our Customers are industry leaders
Largest bank (JP) 4th largest real estate marketplace
(US)
Largest real estate marketplace (JP) Largest HR marketplace (JP)
Largest transportation (JP)
2nd largest HR marketplace (JP)
One of the largest BPO/contact
centers for emergency/car
accidents (JP)
Largest electrics manufacturer (JP)

founders@appsocial.ly angel.co/appsociallyProblem and Solution
Problems
It’s hard to start and keep running a conversational channels
with AI, because it requires a lot of cost, time and expertise.
It’s impossible to replace human-being with bot with AI (like in
movies), realistically speaking.

Solution
ChatCenter Ai is a platform to streamline and
automate your conversation with your customers.
‣ No upfront cost for strategy-planning (to invest in AI), and creating “meeting-room-
born” training data by fancy consultants.
‣ Once you start talking with your customers, our AI engine keeps monitoring your
“real” conversation with your “real customers,” and continuously help you templatize
and automate them.
‣ This can serve both as your short-term cost reduction, as well as your longer-term
(smart) AI investment strategy (“While you talk with your customers, you obtain
domain-specific training data for your business as by-product”）

founders@appsocial.ly Angel.co/appsociallySummary
Inbox Templates Automation

Manual Semi-automatic Human effort

Human effort Hybrid AI-powered

Streamline by Design Streamline by Data Automate by Data

We help you streamline
conversation by approach of
Design (UX)
We help you streamline
Data (AI)
We help you automate
Data (AI)
How much can we help you in
streamlining and automating your
conversation (as our contribution)?
How much can you streamline
your own conversation by
yourself (as your cost)?
Challenges
Our Value
Value Proposition

founders@appsocial.ly angel.co/appsociallyHow it works
How it works
Start by automating 50% manually, then it continues learning
It learns as you communicate, by monitoring what you do
In INBOX, Widgets streamline messaging into 2 taps/clicks
Templates are the assets and experience of your organization
Suggestions help you message and communicate better
Automation Rules answer with simple ECA Rules

Start by automating 50% manually, then it
continues learningManualvsAutomatic(basedonourexperience)(%)
0%
25%
50%
75%
100%
Time (months)
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Automatic
Manual
Manual
Automatic
Semi-automatic

It learns as you communicate, by monitoring what
you do
The more you type, the
more we help you to
templatize what you typed.
The more you select out of
Templates, the more we help
you streamline and automate to
to do the same thing.
“Hey, why don’t you save what you
have typed as a Template?”
“Hey, you are always choosing the same template
to answer the similar questions. Why don’t you
like to save this pattern as an automation rule?”
Templates Suggestions Automation RulesExperienceHuman brain

Templates are the asset and experience of your
organization
more we help you to

founders@appsocial.ly Angel.co/appsociallyFrom ChatCenter iO to ChatCenter Ai

Widgets super-streamline messaging into 2 taps/
clicks

Widgets super-streamline messaging into 2 taps/
clicks
WIDGETS CUSTOM WIDGETS (example)
Type text
Make a phone call
Make a video call
Send dates
Send an emoji
Send timeslots (dates and times)
Share a location
Share live location
Send an image
Send a voice
Send a video
Select from suggestions (of Templates)
Send an internal note
Assign
Ask a question
Send a ﬁle
Make a payment
Send money
Make a signature
Seach and send a website
Seach and record a training menu
Seach and recommend a restaurant
Seach and send shop locations
Send a gift
Send a gift

founders@appsocial.ly angel.co/appsocially
25
vs

26

founders@appsocial.ly angel.co/appsocially***
27

28

Templates are the assets and experience of your
organization
more we help you to

It suggests you to create more Automation Rules, by
monitoring what you do
more we help you to
“Hey, you are always choosing the same
template to answer the similar questions. Why
don’t you like to save this pattern as an
automation rule?”

on <event type> [with <name of associated delta structure>]
[if <condition>]
do [instead] <action : send message>
1
2
3

37
Example of an Automation Rule
event
ON a message arrival to an Operator
condition
IF the operator can’t reply “manually” for 1 min
action : send message
DO reply automatically saying “Thank you for contacting us. Please
wait while I am reviewing your request. Thanks.”

Data
Analyzer
In-chat Activity
History
In-Chat Massaging
History
EVENTS + CONDITIONS; DATA INTERPRETER AUTOMATED MESSAGES
Out-app Events
In-app Activities
Autoamtion
Interpreter
In-chat Activities / Conversation
Automatic Message

Suggestions

Suggestions help you message and communicate
better, by advising what to send to customers
Manual Semi-automatic Automatic
With 95%+ confidence, our
engine proposes possible
answers (by learning from
previous answering patterns).
With 99%+ confidence, our
engine answers
automatically (by learning
from previous answering
patterns)
A Pattern
Template 1
Template 2
Template 3
:
50%
30%
25%
<5%
Based on Human operators
keep typing to find what to save
as Templates.
A Pattern Template 3
:
99%
<1%
95%

42
Example of a Suggestion
event
ON a cab driver’s arrival to the passenger
condition
IF the cab is within 1km away from the passenger
action : display suggestion
DO display available actions (“Tell I am here”, “Ask where are
you”, Call the passenger”

Suggestions help you message better
on <event type> [with <name of associated delta structure>]
[if <condition>]
do [instead] <action : display suggestion>
1
2
3

Suggestions help you message better
EVENTS + CONDITIONS; DATA
Suggestion
Interpreter
Display Suggestions
This message is not displayed to your customers.
Data
Analyzer
In-chat Activity
History
In-Chat Massaging
History
Out-app Events
In-app Activities
In-chat Activities / Conversation
INTERPRETER AUTOMATED MESSAGES

founders@appsocial.ly angel.co/appsociallyOur Philosophy
Why we don’t work too much on Machine Learning
50-90% of Automation aka Bot can be built without
fancy machine learning engines
‣ Structured data like temporal, spacial and boolean data (patterns) can specify the
most of your customers context without trying to analogize the contexts based on
unstructured data.
Tackling this data problem with design-oriented
approach can defeats limitation of current AI
technologies
‣ Most of available technologies require “meeting-room born” training data created by
fancy consultants. Our product creates “human-verified” training data as the
by-product of running your chat center with your real customers.

3 Types of investment strategies in AI
Invest in collecting or creating “meeting-room born
training” Data (X.ai, Facebook's M, Watson Consultants)
Invest in Talent or Team (Google, Facebook, Salesforce, and all those giants)
Invest in domain specific “human-verified training
data” in your business domain that are created with
“real” conversation with your “real" customers (that
is what ChatCenter Ai can help you to)

Conversational
Bot Assistant
Open-ended.
Infinite possibilities.
Transactional
Bot Service
Targeted purpose.
Scoped functionality.
2 Types of bots

2 Types of bots
Event-based
Conversations start based on event triggered by
Natural Language Processing + pattern of
conversation and metadata
(= by visualizing your experience)
Flow-based (tree structured)
Structured flow of the conversation defines the
following questions. FAQs turns Bots. 
(＝ to make the most of your assets)
When message arrives Send“Hello!”
If message contains
“wifi,available”
Send“Wifi is available
and password is XXX.”
Hi! How can we
help you today?
Want to apply to
your position.
Let’s schedule an
interview.
Want to know
more about CFP.
What do you like
to know?
Ab
Are
on M
Events and Conditions Actions ExpectedAnswersQuestions Next Questions

2 Types of bots on ChatCenter Ai
Conversational
Event-based
The more you type, the more our AI
recommends you to streamline.
Open-ended QAs translated into Bot
with NLP technologies.
Transactional
Flow-based
The more you choose out of
templates to answer, the more our AI
recommends you to automate.
Targeted purpose.
Scoped functionality.

Human to Robot, Unstructured to Structured to
make your organisational asset
1 2 3 4 5 6 7
Conversational Bot
Transactional Bot
Manual Conversation (by Human; Non-bot)
= Unstructured Patterns
(to be visualized)
= Structured set
of data
= To become your
organizational asset
Sublimation
• Easier to start with
upfront
• The more you type, we
recommend you to
save as templates
• The more you select
out of templates, we
recommend you to
save as automation
rules.
• We help you streamline
your manual
conversation with
Widgets (eg) 2 taps to
schedule.

52
Human (operator, salesman) can
edit and send data-embedded
sticker easily
(e.g.) Send available slots for
scheduling in 2 taps
[segment] Businesses who can't
automate with AI/Bot, but want to
accelerate speed (skeptical of AI/
Bot)
System suggests available
answers that suit certain contexts/
situations
(e.g.) When a cab comes close to
the customer to pick up, the
system suggest some options to
the driver
[segment] Businesses who like to
reduce cost of hiring and
educating operators, and lower
the risk of communication
accidents
System answers to expected
questions and on certain situation
by structured; pre-defined scripts
(e.g.) When you receive an
inquiry after 6pm, the system
sends an appropriate response
automatically.
[segment] Businesses who like to
automate communication and
lower the cost of it (Cost-
effectiveness over precision of AI/
Bot)
Widgets Suggestions Automation
Manual Semi-Automatic Automatic
This message is invisible to your cutomer.
Ask “Where are you?”
Call Yusuke
Tell “I am here.” Hello! Thank you for your message!
We are not operating now and will
reply to you tomorrow morning.
Here are some times that works for
me. Please choose a slot and tap to
reply.
7:00 - 7:30 PM, Fri Jan 8 (PST)
8:00 - 8:30 PM, Fri Jan 8 (PST)
Propose other slots
95% Confidence 99% Confidence

ChatCenter iO, the world's largest customer communication
center for businesses (in the near future), will have no desks at contact
centers, just like
Uber, the world’s largest taxi company, who owns no vehicles,
Facebook, the world’s most popular media owner, who creates no content,
Alibaba, the most valuable retailer, who has no inventory, and
Airbnb, the world’s largest accommodation provider, who owns no real estate. 
53
ChatCenter Ai

55

56

hello@appsocial.ly angel.co/appsociallyyt@appsocial.ly http://appsocial.ly

hello@appsocial.ly angel.co/appsociallyAbout AppSocially
APPSOCIALLY INC. WAS FOUNDED ON FEBRUARY 2013 (A DELAWARE CORPORATION)
HQED IN SAN FRANCISCO + BRANCHED IN TOKYO
TEAM OF EXPERTS IN GROWTH, UX AND DATA
58

VISION
APPSOCIALLY CREATES AND DELIVERS PRODUCTS AND SERVICES THAT
HELP BUSINESSES GROW, TO MAKE THE WORLD HAPPIER, HEALTHIER,
MORE PRODUCTIVE AND MORE CONNECTED.
59

MISSION STATEMENT
APPSOCIALLY DELIVERS PRODUCTS/SERVICES THAT ONLY MEET ALL OF
THESE STATEMENTS
DO PEOPLE WANT IT?
DO YOU LOVE IT?
ARE YOU ABLE TO DO IT?
IS IT SCALABLE+REPEATABLE?
IS IT INNOVATIVE?
IS IT DISRUPTIVE?
IS IT BRILLIANT+BEAUTIFUL?

EXPERTISE
APPSOCIALLY HELPS BUSINESSES GROW BY ITS KNOWLEDGE, SKILLS AND
EXPERIENCE OF
CUSTOMER DEVELOPMENT+LEAN METHODOLOGY
USER EXPERIENCE DESIGN (AND PSYCHOLOGY)
DATA SCIENCE (AND AI)
61

founders@appsocial.ly Angel.co/appsociallyCase Study: Unda
PRODUCTS AND SERVICES
Referral (for customer acquisition)
ChatCenter (for customer acquisition, monetization, up-selling and customer
development)

founders@appsocial.ly Angel.co/appsociallyfounders@appsocial.ly Angel.co/appsociallyINVITE

founders@appsocial.ly Angel.co/appsociallyINCENTIVIZED REFERRAL
+REWARDS
Shingo Hagiwara
Bryan Davis
Alex Miller
Aki Nishiyama
Invite
Invite
Resend

founders@appsocial.ly Angel.co/appsociallyCHAT CENTER founders@appsocial.ly Angel.co/appsocially

Company
Name AppSocailly Inc.
Since February 6, 2013
Capital 1000 USD
Team 15 people
Business ChatCenter Ai, Onboarding/UX Consulting
Founder and CEO Dr.Yusuke Takahashi
Ofﬁces  HQ: 1381B 9th Ave, San Francisco CA, USA, 94122（AppSocially Inc.）
Tokyo Ofﬁce: Sendagaya 1-9-1-301, Shibiya,Tokyo, JAPAN (AppSocially KK)
TEL 415.213.4074

founders@appsocial.ly Angel.co/appsociallyテキスト

Participated in 500 Startups’ accelerator program
in Silicon Valley back in 2013

yt@appsocial.ly http://appsocial.ly
Featured on Forbes Japan.

Translated Nir Eyal’s
“Hooked.”

founders@appsocial.ly Angel.co/appsociallyテキスト
トップソリューション動向ワールドリポート
ワールドリポート
サンフランシスコという舞台に集まる起業家、サイエン
ティストが成長に欠かせない存在に
2014.04.23 米AppSocially 創業者兼CEO 高橋雄介
米サンフランシスコのソーマ地区にある、ビッグデータの分析・可視化サービスを手
掛ける「Keen IO」の本社に2014年4月中旬、データサイエンティストなどが集まっ
た。「Happy Data Hour」と呼ぶこの会合はビールを片手にベンチャーの起業や業
界について意見を交換し合うのが目的である。「セールス・フォース・ドットコム」
や、最近米グーグルに買収され話題となった学習機能付きのサーモスタットを作る
「ネスト」、クラウドメールの「センドグリッド」などのデータサイエンティストな
データ活用で成長戦略を描く。この編集方針の下、
Webサイトや月刊誌、セミナーを通じて情報をお届け
します。
詳しくはこちら
search
無料メールマガジン登録
Contributed NIKKEI, and
introduced trend on Big Data.

日本語化レビュー
を担当
Reviewed for O’Reilly Japan
when LEAN UX was translated.

Founded.

Introduced the concept of
“Growth Hacking” to Japan.

founders@appsocial.ly Angel.co/appsociallyfounders@appsocial.ly angel.co/appsocially
Organized Growth Hackers
Months in Tokyo

Introduced by Japan’s
NIKKEI as a notable
startup by Japanese
founder in Silicon
Valley

NIKKEI mentioned
ChatCenter as a new
solution for SMB
besides LINE

hello@appsocial.ly angel.co/appsociallyyt@appsocial.ly http://appsocial.ly
78
WE ARE
FOUNDERS@APPSOCIAL.LY
ANGEL.CO/APPSOCIALLY

Introducing ChatCenter Ai

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