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Aviation Insurance
Mellat
Insurance Company is one of the Iranian leading aviation insurance
operations.
Our
experience in handling the second largest Iranian airline which is Iran
Aseman Airline and also Hesa Company (Aircraft Manufactory company), Mellat
Co. also has reinsured of Iran Air and Iran Air tour fleet Risks.
It
follows that our aviation claims team has similar experience and has been
responsible for successfully handling and bringing to conclusion some of the
losses in the history of aviation.
In the insurance industry, claims service has frequently been
treated as an afterthought, without proper consideration or investment into
this crucial area. Mellat Insurance Company recognize that claims service is
the deliverable of the insurance product. Our dedicated claims unit consists
of over three people, grouped into teams reflecting client driven product
lines.
We also offer a specialist claims consultancy resource for
the purpose of assisting clients to best present their claims, usually those
of a particularly large and often complex nature.
Mellat Insurance Company brings value to the aviation claims
process, as demonstrated by:
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Efficient collation and processing of
volume claims.
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An emergency 24/7 service offering
clients an immediate response.
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Production of claims handling guidelines
and procedures for individual client needs
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Comprehensive Claims Manual
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Continual liaison with clients to further
enhance our service, including client visits where appropriate
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Workshops for our clients' employees
We are the major Iranian insurance company to have such a
comprehensive claims capability in Iran. This enables our insurance team to
work closely with our claims colleagues and adopt a team approach to problem
solving.
Furthermore the services of our analysis and modeling team
may be of interest in this area.
This new team has the resources to provide modeling and
analyses of past losses (own experience and market wide) to develop views
on:
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Future range of likely loss quantum and
contributory components
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Testing the relationships between
specific attributes of past losses e.g. age, domicile, profession
against award.
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Reviewing likely ultimate reserves on
past losses
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Developing triangulated loss statistics
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Studying retained losses and testing the
cost-effectiveness of transfer/retention
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