Multi-insurer quoting
Customer details entered once, priced across every connected insurer, compared side by side.
Work
We would rather show one system we built and still operate than a gallery of logos. This is the whole story, including the parts that were hard.
Insurance distribution · IRDAI-licensed brokers
An insurance broker sells policies from many insurers. To quote a single customer, a broker logs into one insurer’s portal, types in the vehicle and customer details, notes the price, closes it, opens the next insurer’s portal, and types the same details again — six times, for one customer. The policy is recorded in a spreadsheet, the certificate is sent by messaging app, the renewal date lives in a diary, and the agents who sell on the broker’s behalf telephone the office for every quote.
Nothing about that is unusual. It is how most of the industry runs.
One system that does the whole job: compare quotes across every insurer the broker is appointed with, issue the policy, collect the premium, deliver the certificate, manage the agent network and their commission, and track every renewal before it lapses — under the broker’s own brand, on their own domain, using their own insurer appointments and codes.
Customer details entered once, priced across every connected insurer, compared side by side.
Premium collected and the policy issued in one flow, with the certificate delivered automatically.
Agents on their own application, with hierarchy, targets, and commission calculated and paid.
Every expiry tracked and surfaced before it lapses, with follow-up recorded against each customer.
One platform serving many brokers, each seeing only their own brand, domain and data.
An append-only record of every action, because in this industry a regulator can ask.
Every insurer is a different integration. Different data shapes, different rules, different failure modes, and a separate approval process for each one. There is no shortcut and no library that does it for you.
Isolation had to be absolute. On a platform serving competing brokers, one broker seeing another’s customers is not a bug — it is an incident for both of them. Separation is enforced in the database and tested on every release.
Money has to be exactly right. Premiums collected, commissions split, payouts made — every rupee reconciled, with an append-only ledger, because in financial services an approximation is a liability.
Because it is proof we have done the difficult version. We have built and we still operate a system that handles other people’s money, connects to unforgiving external partners, keeps competitors’ data apart, and has to satisfy a regulator. Whatever we build for you inherits those habits — the security, the audit trails and the assumption that things will fail and must fail safely.
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