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BEGIN:VEVENT
UID:20260705T101336Z - 93653@am509a.odoo.com
DTSTART;TZID=Europe/Brussels:20260319T110000
DTEND;TZID=Europe/Brussels:20260319T114500
CREATED:20260705T101336Z
DESCRIPTION:<a href="https://www.go-virtual.com/event/webinar-2">Webinar</a
 >\nEvery month the same hassle. Hours that do not quite add up\, allowance
 s that need to be untangled\, mobility claims that spark debate\, and reco
 nciliations that only turn out “approximately correct” afterward. Payr
 oll rarely fails because of calculation errors. It fails because of what h
 appens in the days and weeks before: changes\, exceptions\, missing regist
 rations\, approvals that get stuck. In this webinar\, we show how VIRO sta
 bilizes that flow\, turning rules into correct pay codes and quantities\, 
 and how an AI agent continuously monitors the same data stream. ​ ​ Wh
 at do we concretely add with AI? VIRO is the engine\, converting data corr
 ectly according to collective labor agreements and internal rules. AI is t
 he copilot\, continuously monitoring\, detecting deviations\, prioritizing
  them\, and explaining them in plain language. Think of things like:Missin
 g data\, such as absent registrations\, mobility data that did not come th
 rough\, or unusual gaps. Illogical patterns\, such as allowances that neve
 r normally occur\, or too many or too few hours compared to the schedules 
 Exceptions and outliers\, such as extreme values\, duplicate entries\, or 
 sudden trend breaks) Approvals that are stuck and later become problems. Y
 ou should attend this webinar if you: Spend every month firefighting aroun
 d hours\, allowances\, mobility\, or exceptions.Notice issues too late\, o
 nly during payroll preparation or reconciliationRely on Excel or manual fi
 xes to make things workWork with multiple data sources and often end up as
 king\, “Who is actually right?” For which type of companies? Suitable 
 for teams working on sites or multiple locations\, shift-based operations\
 , dispatch environments\, and mobile workforces\, where exceptions are mor
 e the rule than the exception.Not suitable if your processes are almost al
 ways standard and deviations are rare. AGENDA AND TIMING (Dutch spoken) Th
 ursday\, March [...]
DTSTAMP:20260705T101336Z
LOCATION:GO-VIRTUAL\, Nieuwpoortsesteenweg 71\, 8470 Gistel\, Belgium
SUMMARY:Webinar
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.go-virtual.com/event/webi
 nar-2">Webinar</a>\nEvery month the same hassle. Hours that do not quite a
 dd up\, allowances that need to be untangled\, mobility claims that spark 
 debate\, and reconciliations that only turn out “approximately correct
 ” afterward. Payroll rarely fails because of calculation errors. It fail
 s because of what happens in the days and weeks before: changes\, exceptio
 ns\, missing registrations\, approvals that get stuck. In this webinar\, w
 e show how VIRO stabilizes that flow\, turning rules into correct pay code
 s and quantities\, and how an AI agent continuously monitors the same data
  stream. ​ ​ What do we concretely add with AI? VIRO is the engine\, c
 onverting data correctly according to collective labor agreements and inte
 rnal rules. AI is the copilot\, continuously monitoring\, detecting deviat
 ions\, prioritizing them\, and explaining them in plain language. Think of
  things like:Missing data\, such as absent registrations\, mobility data t
 hat did not come through\, or unusual gaps. Illogical patterns\, such as a
 llowances that never normally occur\, or too many or too few hours compare
 d to the schedules Exceptions and outliers\, such as extreme values\, dupl
 icate entries\, or sudden trend breaks) Approvals that are stuck and later
  become problems. You should attend this webinar if you: Spend every month
  firefighting around hours\, allowances\, mobility\, or exceptions.Notice 
 issues too late\, only during payroll preparation or reconciliationRely on
  Excel or manual fixes to make things workWork with multiple data sources 
 and often end up asking\, “Who is actually right?” For which type of c
 ompanies? Suitable for teams working on sites or multiple locations\, shif
 t-based operations\, dispatch environments\, and mobile workforces\, where
  exceptions are more the rule than the exception.Not suitable if your proc
 esses are almost always standard and deviations are rare. AGENDA AND TIMIN
 G (Dutch spoken) Thursday\, March [...]
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