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Automa'ng	
  Image	
  Capture	
  in	
  a	
  
Complex	
  Lending	
  Environment	
  
Steve	
  Stone	
  
United	
  Bank,	
  Inc.	
  
The	
  Challenges	
  
Commercial	
  Loans,	
  Mortgages,	
  Direct	
  and	
  Indirect	
  Consumer	
  Loans	
  
are	
  drama'cally	
  different	
  
–  10	
  pages	
  to	
  more	
  than	
  1,000	
  pages	
  
–  A	
  rela'vely	
  high	
  frequency	
  of	
  non-­‐standard	
  documents	
  
–  Unpredictable	
  document	
  delivery	
  'mes	
  
	
  
Document	
  scanning	
  was	
  labor-­‐intensive	
  and	
  unreliable	
  
–  High	
  rescan	
  rate	
  due	
  to	
  jams	
  and	
  image	
  quality	
  
–  Need	
  for	
  document	
  iden'fica'on	
  pages	
  
•  Single-­‐use	
  documents	
  
•  Increased	
  scanned	
  pages	
  by	
  10%	
  or	
  more	
  
More	
  Challenges	
  
The	
  Federal	
  Reserve	
  did	
  not	
  approve	
  of	
  our	
  previous	
  
aPempt	
  at	
  loan	
  image	
  capture	
  
–  Difficulty	
  in	
  loca'ng	
  items	
  
–  Incomplete	
  scanning	
  
–  Inconsistent	
  image	
  quality	
  
	
  
Turnaround	
  'mes	
  for	
  documents	
  to	
  be	
  converted	
  to	
  
images	
  was	
  between	
  one	
  and	
  two	
  weeks	
  
	
  
We	
  kept	
  the	
  paper	
  and	
  the	
  images	
  
–  “Double	
  Whammy”	
  
Our	
  Objec>ves	
  
Improve	
  quality	
  
– Image	
  quality	
  
– Index	
  quality	
  
– Completeness	
  
Improve	
  efficiency	
  
– Reduce	
  labor	
  costs	
  
– Reduce	
  turnaround	
  'me	
  
Improve	
  ease	
  of	
  use	
  
Create	
  an	
  image	
  archive	
  system	
  
equal	
  to	
  or	
  beBer	
  than	
  the	
  
paper	
  system	
  we	
  wanted	
  to	
  
replace…	
  
…	
  and	
  do	
  it	
  within	
  six	
  months!	
  
Vendor	
  Requirements	
  
ü Demonstrated	
  experience	
  in	
  a	
  produc'on	
  image	
  environment	
  
ü Established	
  support	
  organiza'on	
  –	
  hardware	
  and	
  soXware	
  
ü Willingness	
  to	
  work	
  closely	
  with	
  us	
  on	
  the	
  design	
  of	
  a	
  new	
  
workflow	
  
ü Ability	
  to	
  integrate	
  data	
  with	
  our	
  current	
  image	
  archive	
  vendor	
  
(FIS	
  VisionContent)	
  
ü Track	
  record	
  of	
  rapid	
  development/deployment	
  
ü Scalable	
  technology	
  
Two	
  Guiding	
  Principles	
  
1.	
  Don’t	
  “pave	
  the	
  cow	
  path”	
  
– Alphabe'ze	
  documents	
  
– Log	
  into	
  a	
  separate	
  system	
  
– Select	
  cover	
  sheets	
  
– Print	
  cover	
  sheets	
  
– Insert	
  cover	
  sheets	
  between	
  docs	
  
– Scan	
  documents	
  
– QC	
  documents/rescan	
  as	
  needed	
  
– Upload	
  documents	
  
Two	
  Guiding	
  Principles	
  
1.	
  Don’t	
  “pave	
  the	
  cow	
  path”	
  
– Alphabe'ze	
  documents	
  
– Log	
  into	
  a	
  separate	
  system	
  
– Select	
  cover	
  sheets	
  
– Print	
  cover	
  sheets	
  
– Insert	
  cover	
  sheets	
  between	
  docs	
  
– Scan	
  documents	
  
– QC	
  documents/rescan	
  as	
  needed	
  
– Upload	
  documents	
  
Two	
  Guiding	
  Principles	
  
2.	
  Make	
  the	
  new	
  system	
  bePer	
  than	
  the	
  one	
  it	
  replaces	
  
–  Reduced	
  prep	
  'me	
  
–  Eliminate	
  cover	
  sheets	
  
–  Faster	
  throughput	
  
–  Fewer	
  rescans	
  
–  Lower	
  cost!	
  
Opera>ons	
  
Guiding	
  Principles	
  
2.	
  Make	
  the	
  new	
  system	
  bePer	
  than	
  the	
  one	
  it	
  replaces	
  
–  Reduced	
  prep	
  'me	
  
–  Eliminate	
  cover	
  sheets	
  
–  Faster	
  throughput	
  
–  Fewer	
  rescans	
  
–  Lower	
  cost!	
  
–  Higher	
  resolu'on	
  images	
  
–  BePer	
  indexing	
  
–  Easier	
  searches	
  
–  Faster	
  turnaround	
  
–  Annota'on	
  
Opera>ons	
  Users	
  
Guiding	
  Principles	
  
2.	
  Make	
  the	
  new	
  system	
  bePer	
  than	
  the	
  one	
  it	
  replaces	
  
–  Reduced	
  prep	
  'me	
  
–  Eliminate	
  cover	
  sheets	
  
–  Faster	
  throughput	
  
–  Fewer	
  rescans	
  
–  Lower	
  cost!	
  
–  Higher	
  resolu'on	
  images	
  
–  BePer	
  indexing	
  
–  Easier	
  searches	
  
–  Faster	
  turnaround	
  
–  Annota'on	
  
Opera>ons	
  Users	
  
“Win/Win	
  Situa>on”	
  
Who	
  you	
  gonna	
  call?	
  
Who	
  you	
  gonna	
  call?	
  
•  Hardware	
  manufacturers?	
  
–  We	
  were	
  too	
  small	
  to	
  be	
  of	
  interest	
  to	
  the	
  big	
  
manufacturers	
  directly	
  
–  Local	
  distributors	
  lacked	
  system	
  integra'on	
  capabili'es	
  
•  ECM	
  vendors?	
  
–  Already	
  had	
  an	
  archive	
  system	
  
–  Overkill	
  for	
  a	
  loan	
  image	
  applica'on	
  
•  System	
  integrators!	
  
–  Familiar	
  with	
  banking	
  
–  Provided	
  subject	
  maPer	
  experts	
  to	
  assist	
  opera'ons	
  staff	
  
The	
  Implementa>on	
  
Back	
  File	
  
Conversion	
  
Remote	
  Document	
  
Capture	
  
Commercial	
  Loans	
  
Mortgage	
  
Loans	
  
Consumer	
  
Loans	
  
We	
  are	
  here…	
  
The	
  Results	
  
ü More	
  than	
  200	
  documents	
  recognized	
  
§  8	
  documents	
  with	
  enhanced	
  data	
  extrac'on	
  and	
  more	
  on	
  the	
  way	
  
ü Rescan	
  rate	
  dropped	
  from	
  ≈20%	
  to	
  <2%	
  
ü Scanning	
  labor	
  reduced	
  by	
  70%	
  
ü Doc	
  prep	
  'me	
  reduced	
  by	
  >90%	
  
ü Cycle	
  'me	
  for	
  scanning	
  reduced	
  by	
  80%	
  
ü Image	
  quality	
  improved	
  
ü Index	
  informa'on	
  improved	
  
ü Paper	
  storage	
  costs	
  reduced	
  
ü Self-­‐funding;	
  payback	
  approximately	
  24	
  months	
  
The	
  Moral	
  
The	
  early	
  bird	
  gets	
  the	
  worm?	
  
All’s	
  well	
  that	
  ends	
  well?	
  
The	
  person	
  who	
  cleans	
  up	
  the	
  biggest	
  mess	
  gets	
  the	
  best	
  
story!	
  
Ques>ons?	
  
Steve	
  Stone	
  
EVP	
  –	
  Opera'ons	
  
United	
  Bank,	
  Inc.	
  
122	
  Patrick	
  Street	
  Plaza	
  
Charleston,	
  WV	
  	
  	
  25387	
  
steve.stone@bankwithunited.com	
  
304-­‐720-­‐4510	
  
[AIIM16] Automating Image Capture for Fun and Profit

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[AIIM16] Automating Image Capture for Fun and Profit

  • 1. Automa'ng  Image  Capture  in  a   Complex  Lending  Environment   Steve  Stone   United  Bank,  Inc.  
  • 2. The  Challenges   Commercial  Loans,  Mortgages,  Direct  and  Indirect  Consumer  Loans   are  drama'cally  different   –  10  pages  to  more  than  1,000  pages   –  A  rela'vely  high  frequency  of  non-­‐standard  documents   –  Unpredictable  document  delivery  'mes     Document  scanning  was  labor-­‐intensive  and  unreliable   –  High  rescan  rate  due  to  jams  and  image  quality   –  Need  for  document  iden'fica'on  pages   •  Single-­‐use  documents   •  Increased  scanned  pages  by  10%  or  more  
  • 3. More  Challenges   The  Federal  Reserve  did  not  approve  of  our  previous   aPempt  at  loan  image  capture   –  Difficulty  in  loca'ng  items   –  Incomplete  scanning   –  Inconsistent  image  quality     Turnaround  'mes  for  documents  to  be  converted  to   images  was  between  one  and  two  weeks     We  kept  the  paper  and  the  images   –  “Double  Whammy”  
  • 4. Our  Objec>ves   Improve  quality   – Image  quality   – Index  quality   – Completeness   Improve  efficiency   – Reduce  labor  costs   – Reduce  turnaround  'me   Improve  ease  of  use   Create  an  image  archive  system   equal  to  or  beBer  than  the   paper  system  we  wanted  to   replace…   …  and  do  it  within  six  months!  
  • 5. Vendor  Requirements   ü Demonstrated  experience  in  a  produc'on  image  environment   ü Established  support  organiza'on  –  hardware  and  soXware   ü Willingness  to  work  closely  with  us  on  the  design  of  a  new   workflow   ü Ability  to  integrate  data  with  our  current  image  archive  vendor   (FIS  VisionContent)   ü Track  record  of  rapid  development/deployment   ü Scalable  technology  
  • 6. Two  Guiding  Principles   1.  Don’t  “pave  the  cow  path”   – Alphabe'ze  documents   – Log  into  a  separate  system   – Select  cover  sheets   – Print  cover  sheets   – Insert  cover  sheets  between  docs   – Scan  documents   – QC  documents/rescan  as  needed   – Upload  documents  
  • 7. Two  Guiding  Principles   1.  Don’t  “pave  the  cow  path”   – Alphabe'ze  documents   – Log  into  a  separate  system   – Select  cover  sheets   – Print  cover  sheets   – Insert  cover  sheets  between  docs   – Scan  documents   – QC  documents/rescan  as  needed   – Upload  documents  
  • 8. Two  Guiding  Principles   2.  Make  the  new  system  bePer  than  the  one  it  replaces   –  Reduced  prep  'me   –  Eliminate  cover  sheets   –  Faster  throughput   –  Fewer  rescans   –  Lower  cost!   Opera>ons  
  • 9. Guiding  Principles   2.  Make  the  new  system  bePer  than  the  one  it  replaces   –  Reduced  prep  'me   –  Eliminate  cover  sheets   –  Faster  throughput   –  Fewer  rescans   –  Lower  cost!   –  Higher  resolu'on  images   –  BePer  indexing   –  Easier  searches   –  Faster  turnaround   –  Annota'on   Opera>ons  Users  
  • 10. Guiding  Principles   2.  Make  the  new  system  bePer  than  the  one  it  replaces   –  Reduced  prep  'me   –  Eliminate  cover  sheets   –  Faster  throughput   –  Fewer  rescans   –  Lower  cost!   –  Higher  resolu'on  images   –  BePer  indexing   –  Easier  searches   –  Faster  turnaround   –  Annota'on   Opera>ons  Users   “Win/Win  Situa>on”  
  • 11. Who  you  gonna  call?  
  • 12. Who  you  gonna  call?   •  Hardware  manufacturers?   –  We  were  too  small  to  be  of  interest  to  the  big   manufacturers  directly   –  Local  distributors  lacked  system  integra'on  capabili'es   •  ECM  vendors?   –  Already  had  an  archive  system   –  Overkill  for  a  loan  image  applica'on   •  System  integrators!   –  Familiar  with  banking   –  Provided  subject  maPer  experts  to  assist  opera'ons  staff  
  • 13. The  Implementa>on   Back  File   Conversion   Remote  Document   Capture   Commercial  Loans   Mortgage   Loans   Consumer   Loans   We  are  here…  
  • 14. The  Results   ü More  than  200  documents  recognized   §  8  documents  with  enhanced  data  extrac'on  and  more  on  the  way   ü Rescan  rate  dropped  from  ≈20%  to  <2%   ü Scanning  labor  reduced  by  70%   ü Doc  prep  'me  reduced  by  >90%   ü Cycle  'me  for  scanning  reduced  by  80%   ü Image  quality  improved   ü Index  informa'on  improved   ü Paper  storage  costs  reduced   ü Self-­‐funding;  payback  approximately  24  months  
  • 15. The  Moral   The  early  bird  gets  the  worm?   All’s  well  that  ends  well?   The  person  who  cleans  up  the  biggest  mess  gets  the  best   story!   Ques>ons?  
  • 16. Steve  Stone   EVP  –  Opera'ons   United  Bank,  Inc.   122  Patrick  Street  Plaza   Charleston,  WV      25387   steve.stone@bankwithunited.com   304-­‐720-­‐4510