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Using  Virtual  Bot  And  Ar2ficial  Intelligence-­‐NLP  to  improve  efficiency  in  lead  qualifica2on  and  intelligent  communica2on  with  them.  

Que.AI  Improve  Produc-ve  And  Efficiency  in  Consumer  Lead  Qualifica-on  

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Vikram Sareen CEO,  Founder,  Chief  Architect  

Cyber  Security+  BlockChain+  Big  Data  +  Machine  Learning  Student  

Somil Asthana Chief  Data  Scien9st  

Big  Data  Technology  Expert  And  Machine  Learning  Wizard  

Our Team (Innovating since 2012 serving 38 international customers and 4 OEM deals)

5 People Team, Kuala Lumpur, Malaysia

30 people Team, Pune, India

4 People Team, Sydney, Australia

Vincent Chin Head,  Business  Strategy  

Industry  Expert  with  20+  years  valued  experience  in  BFSI,  Media.    

3 People Team, Baltimore, USA

Paul Dovas Head,  Business  Development  Industry  Expert  in    digital  media,  big  data  and  ar2ficial  intelligence.  

Upasana Tewari Head,  Project  Delivery  

Agile/Prince2  cer2fied  manager  with  12+  years  interna2onal  experience  

1 Person Team, Hong Kong, China

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Our  Mission  To  enable  and  bring  new  age  automa-on  and  efficiency  in  lead  qualifica-on  through  rule  based  virtual  robots  working  with  ar-ficial  intelligence  (NLP).    

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Cost  Per  Lead  Even  outsourcing  is  coming  to  be  costly  now.  USD1-­‐2  per  call  adds  to  huge  costs  if  you  have  

10000  leads  per  month.  

Human  Driven  Human  effort  is  needed  for  calls,  emails  and  

management.  Errors  and  laziness  are  human  traits.  

Varied  Response  Each  lead  can  give  different  response  or  no  response  so  how  do  you  sense  out  of  that?  Till  now  human  could  understand  only.  

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Today’s Challenges What   cha l l enges  do   compan ie s   f a ce   today   i n   l ead  qua l i fi ca2ons?  

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Ac9onable  Insights  Every  leads  is  followed  through  24x7x365  bots  with  AI-­‐NLP  intelligence  ensuring  each  ac2on,  reac2on  is  closely  tracked  and  gives  consolidated  ac2onable  insights.  

Remove  Biased  And  Error  with  intelligence  Humans  are  emo2onal  that  leads  to  bias  and  error  in  decisions  making  and  impacts  performance.  Bots  and  AI  removes  human  shortcoming  and  makes  decisions  and  improves  performance.    

Fast  And  Accurate  Automa9on  Every  lead  coming  in  from  different  sources  will  be  managed  

without  human  laziness.  Apply  Bot  +  AI  to  automate  the  engagement  process.  

The Future through Bots and AI Automate ,  Ana l y ze ,   Conc lude  

Conclusion  With  AI-­‐NLP  working  in  background,  Every  lead  is  religiously  followed  2ll  it  is  concluded  as  Yes  /  No  

through  person’s  response.    

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Que.AI  Engine      

Use  Natural  Language  Processing  (NLP)  coupled  with  deep  learning  and  automa2on  virtual  robot  to  build  a  100%  automa2on  engine  for  lead  

qualifica2on.      

Que.AI  uses  virtual  robot  to  rule  based  automate  communica2on  with  

consumer  and  AI-­‐NLP  works  to  understand  consumer’s  response.  

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Our Proposed Solution Pudng  Our   Sk i l l s   and  Knowledge   i n  Ac2on  

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Que.AI Engine How   the  Que .A I   Eng ine  w i l l   l ook   i n   a c2on  

1.  Lead  Source(s)  

2.  Lead  Analyzer  and  Classifier  

3.  Followup  (via  Email,  SMS,  WebChat)  

4.  Intelligent  Response/Followup  (using  AI-­‐NLP)  

5a.  Qualified  YES  Leads  for  further  ac-on.    

5b.  Visual  Reports  for    All  States  (new,  expired,    Dropped,  Yes  etc)    

5c.  APIs  for  Integra-on  With  other  systems  and  partners.    

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Example: Email Driven Que.AI Flow An  examp le  o f   how  au toma2on  w i l l  work  

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1.   Go  Email    Cloud  deployed  dedicated  Que.AI  engine  will  executed  email  workflow  and  give  qualified  leads  back  through  

portal  access  to  your  sales  team.  

3.  Go  APIs  Integrate  deeply  with  your  exis2ng  and  partner  systems/

apps  Que.AI  engine  for  deeper  automa2on  and  produc2vity  improvement  like  sales  person  KPI,  Machine  vs  Human  

Analy2cs,  Trends  And  Anomaly.   2.  Go  IVR  +  Social  A.  Speech  to  Text  generates  valuable  content  and  

context  for  deep  learning.  Using  Text  to  learn  and  react  gives  huge  opportunity.    

B.  Also  real  2me  twijer  feeds,  Facebook  feeds  and  web  chat  driven  flow  to  elevate  user  interac2ons  and  react  with  predefined  assistance  or  human  interven2on.  

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Que.AI Engine Rollout We  propose  3  Phases  

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Month  1  

Month  2  

Month    3  

Month    4  

Month    5  

Month    6  

Month    7  

Phase  1  Non  intrusive  

Email  Automa2on  (1  months)  

Phase  2    Go  Social    

(1.5  months)  

Phase  3    Go  APIs  

(in  Future)  

Roll Out Time Tenta2ve  T ime l i ne   fo r   P roposed  Mi l e s tones  

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Automa9on  No  human,  complete  automated  self  

learning  system  

Ready  for  Future  Que.AI  engine  is  ready  to  be  extended  to  achieve  much  more  in  future  with  its  self  learning  ability.  

Intelligent  Deep  learning  at  its  best  will  learn  from  

history  and  self  learn  daily  to  build  quan2fiable  intelligence    

Happy  User  and  Staff  Que.AI  is  not  replacing  human  but  making  their  

mundane  repe22ve  tasks  intelligently  automated.    

Cost  Saving  +  Growth  24x7x365  machine  running  with  1000s  users  per  second  handled  with  no  error  brings  huge  cost  saving  and  adding  to  growth  

Value Add And Key Benefits Que.AI  eng ine  b r i ngs   so l i d   va lue  p ropos i2on  

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Please  just  in  touch  with  us  at    vikram@blue-­‐bricks.com  

Thank  you