NEOS Life leveraged SolveXia to transform and automate their calculation of reinsurance and commissions. One of the key finance processes for NEOS is the calculation of reinsurance, fees and commissions. The manual process was taking 1 full day each week to complete, burdening key staff who want to be focusing on more analytical tasks. NEOS was also concerned with how they would scale this process to meet the expected (and significant) growth in the number of policies being sold each week.
Read the full case study »IOOF has been helping Australians secure their financial independence for over 170 years, with 500,000 customers and A$137.8 billion in funds under management and administration. IOOF relied on a spreadsheet-driven process to perform their Custody Reconciliation each month. This took around two days each month to complete, which was a burden for staff. Another challenge was the slight variation in how each one of the 80 portfolios was reconciled. IOOF wanted to simplify and consolidate this task to minimise the risk of human error.
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Using SolveXia, we are now able to process our weekly reinsurance and commission calculations within hours, rather than days. In addition, we have mitigated a key-person risk by automating and documenting the entire process.
Global insurer that used SolveXia to fix its life insurance bordereaux problem.
Read the case study »Global travel group used SolveXia's automated solutions to solve its member agency sales reporting problem.
Read the case study »One of the largest bottlers and distributors of beverages in the Asia Pacific used SolveXia to solve its sales commission reporting issue.
Read the case study »Provider of administrative services to 200+ motor vehicle dealerships used SolveXia to solve its rules based data collection problem.
Read the case study »Australian financial services provider which used SolveXia's automated solution to fix its analysis of change problem.
Read the case study »Group of travel management companies that used SolveXia's automated solution to solve its agency revenue optimisation complication.
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