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BEGIN:VEVENT
UID:20260526T122601Z - 79610@am509a.odoo.com
DTSTART;TZID=Europe/Brussels:20260319T110000
DTEND;TZID=Europe/Brussels:20260319T114500
CREATED:20260526T122601Z
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. ​ ​ 
 ​ wél: wat wijkt af\, waarom is dat verdacht\, wat is de impact\, en wa
 t is de logische actie vandaag\, niet op het einde van de maand. REGISTER 
 What do we concretely add with AI? VIRO is the engine\, converting data co
 rrectly according to collective labor agreements and internal rules. AI is
  the copilot\, continuously monitoring\, detecting deviations\, prioritizi
 ng them\, and explaining them in plain language. Think of things like:Miss
 ing data\, such as absent registrations\, mobility data that did not come 
 through\, or unusual gaps. Illogical patterns\, such as allowances that ne
 ver normally occur\, or too many or too few hours compared to the schedule
 s Exceptions and outliers\, such as extreme values\, duplicate entries\, o
 r sudden trend breaks) Approvals that are stuck and later become problems.
  You should attend this webinar if you: Spend every month firefighting aro
 und 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 companies? Suitabl
 e for teams working on sites or multiple locations\, shift-based operation
 s\, dispatch environments\, and mobile workforces\, where exceptions are m
 ore the rule than the [...]
DTSTAMP:20260526T122601Z
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. ​ ​ ​ wél: wat wijkt af\, waarom is dat verdacht\, wat is 
 de impact\, en wat is de logische actie vandaag\, niet op het einde van de
  maand. REGISTER 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 [...]
END:VEVENT
END:VCALENDAR