ACTOMATE
LOSS MODEL ROBOT
The Loss Model Robot is an analytics and decision-making tool that helps insurers compare insurance and reinsurance structures to make optimal decisions. It supports simulations using historical claims experience or selected parameters, helping users evaluate how different structures may perform under different scenarios. Users can adjust key reinsurance settings, such as how much risk to retain, how much risk to transfer, and the level of protection need for different business lines. The solution then produces clear result summaries to help teams understand the possible claims cost, risk exposure, and financial impact under each scenario. It also helps insurers estimate the target reinsurance premium they should pay for different reinsurance structures. By making the analysis faster and easier to review, the solution supports more informed and practical reinsurance decisions.
For more information on Loss Model Robot, click HERE
analytics
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Simulates insurance and reinsurance outcomes using past claims experience or selected parameters.
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Supports multiple lines of business and multiple scenario analysis.
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Helps users review key risk indicators including expected loss, variability, VaR and TVaR.
optimisation
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Compares reinsurance structures such as excess of loss, quota share, surplus share and stop loss settings.
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Helps users estimate the target RI premium to pay for different reinsurance structures
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Supports alignment of reinsurance protection with actual risk exposure.
decision
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Produces quick and easy-to-understand result summaries for management review.
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Supports underwriters, reinsurance teams, actuarial teams and management in making data-driven structure decisions.
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Helps teams choose suitable protection levels while considering cost, risk and capital efficiency
Who Can Use It
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Actuarial teams for LRC analysis and IFRS 17 calculation review.
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Finance and accounting teams for journal postings, trial balances, and the chart of accounts outputs.
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Financial reporting teams for IFRS 17 underwriting statement preparation.
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Management teams for monitoring and reviewing IFRS 17 reporting readiness.
Why It Matters
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Help insurers manage complex IFRS 17 calculation and reporting requirements.
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Supports faster coordination between actuarial, finance and reporting teams under tight deadlines.
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Reduces reliance on manual spreadsheet processes and repeated manual reconciliation.
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Provides a structured workflow that improves transparency, consistency, and traceability.
PRACTICE LEADER
Nicholas Yeo
FIA FASM FSA FSAS FSAT
创办人兼精算师
Nicholas founded Actomate in 2015, a leading actuarial firm in Asia. He is an actuary with exceptional business acumen and a global perspective. His clients and his organization benefit from his strong grasp of the strategic, operational, governance, and risk management aspects of the business.
Nicholas has developed various technologies and software applications, including IBNR Robot, ReACC Robot, PET Robot, LRC Robot, LIC Robot, PAA Robot, and Sallesillus Robot. Nicholas also has significant experience in captive insurance, offshore insurance, robotic process automation, artificial intelligence, and data analytics.
Nicholas has 20 years of experience in actuarial work, including life insurance, family takaful, general insurance, general takaful, employee benefits, pensions, social security, medical insurance, reinsurance, and Insurtech startups. Nicholas held appointed actuary and signing actuary roles in various jurisdictions across Asia.
Nicholas is a Fellow of the Institute and Faculty of Actuaries (UK) and a Fellow of the Society of Actuaries (US). He is a past Council Member of the Society of Actuaries’ Entrepreneurial & Innovation Section. He is also a past Chairperson of the Professional Development Committee and Events Committee of the Actuarial Society of Malaysia. Nicholas graduated from Bayes Business School with First Class Honours in BSc Actuarial Science. He is also a Certified Internal Auditor from The Institute of Internal Auditors.