16
Sa-Dhan Patrika
Volume 7,
Issue 1, September 2006
Use of Technology for Microinsurance
Distribution: Experiences from the Field1
T
Pradesh (just an example), the impact
echnology is widely regarded as the
of the e-Choupal platform/AV vans has
solution to most problems but let us
been phenomenal in terms of reducing
not forget that it is merely a means to
cost, and ensuring continuous
achieving an end. In the case of the
availability and local reach of the
microfinance sector, it promises to be a
insurance message. Likewise, Tata AIG,
good means to achieving the end goal
a life insurance company in India, has
of enhancing greater access to tailor-
similarly used AV vans in Andhra Pradesh
made financial services for low-income
to promote its insurance products to
people in a convenient manner. This
low-income people, in a friendly and
short article attempts to look at
transparent manner. A critical aspect
microinsurance within the field of
that needs to be noted here is that
microfinance and provide real-life
'marketing' of insurance is never easy
examples of how technology has been
among the rural poor, especially given
used to reduce delivery costs, enhance
the negative perceptions associated
access, and create other impacts
with it because of past (bad)
including better service. These
experiences. This is where the use of
examples are highlighted below in terms
technology has really helped insurance
of specific areas of insurance
companies and intermediaries alike, in
distribution:
ensuring a continuous presence through
Promotion/Marketing of Insurance:
a technology medium that is essentially
low-cost in comparison to its overall
Megatop Limited (an insurance broker
outreach/impact.
in India) has used the e-Choupal
platform (web-based) for promotion/
Preliminary Underwriting Work:
marketing of a large variety of insurance
products offered by several insurance
Megatop has further innovated in using
companies. Typically, the Sanchalak at
technology to overcome remoteness
each of the e-Choupals, on a specific
and distance with regard to
day or as per demand, uses the web
underwriting insurance policies. As soon
platform (in vernacular) to present to
as a proposal is received orally at the
potential farmers and low-income
village, the Sanchalak fills it out on the
people an array of products (life and
computer and sends it to the Megatop
general insurance including health,
headquarters by e-mail. From here it is
weather, asset and the like) on offer. The
dispatched (almost the same day) to
premium calculator on the web
the respective insurers who, in turn, go
immediately helps in generating various
through the proposal and send it back
A critical aspect
premium options as also other product
to Megatop with comments and/or
that needs to be
features like sum assured, bonus etc. This
acceptance, for onward transmission
noted here is that
online sensitivity analysis, apart from
(back) to the respective Sanchalak - all
'marketing' of
enhancing sheer choice and facilitating
this in record time because it is all
insurance is never
compatibility, across an array of
electronically done.
easy among the
products, has really helped enhance
rural poor,
And, indeed, the savings in time/effort
transparency in terms of detailing
especially given
and resultant impact on cost is
product features and benefits for the
the negative
phenomenal - it would easily take
low-income customer. It has also
perceptions
several days for a proposal to reach
ensured that IRDA norms and conditions
associated with it
Megatop headquarters from a remote
are met, with regard to customer
because of past
location (like Bundelkand) and, in turn,
information provision and literacy.
(bad) experiences
for the same to be forwarded from the
Megatop also uses multimedia
Megatop headquarters to the insurer's
technology, whereby audio-visual vans
office. If changes are required, the time
(AV vans), travel around the villages
can be easily doubled. It would not be
and show vernacular 'flash-based'
incorrect to say that anything between
insurance movies to potential low-
two-three months may be required for
income buyers. In a remote and under-
an insurance policy to be issued to a
reached area like Bundelkand, Madhya
poor farmer in a remote location if this
1
The article draws ideas significantly from a piece of global research done by Ramesh S Arunachalam for
Enterplan (UK) and Genesis (South Africa) with regard to Distribution of Micro-Insurance (2006) as also
insights and information from partners (Megatop and Tata-AIG) of the DFID Enterplan Financial Deepening
Challenge Fund.