Connect across platforms, channels, and workflows, with AI-driven decisioning built into the insurance lifecycle.
Insurance runs on many applications, partners, and platforms. When these do not talk to each other, data is rekeyed between systems. Decisions wait on batch files. The customer gets a different experience on every channel. Integration cost then becomes the reason good ideas stall in the roadmap.
C2L BIZ’s solutions integrate with core insurance systems, third-party platforms, APIs, and digital ecosystems. The SymbioSys Suite is API-first, so connections are configured rather than custom-built. A new partner or service can be added without reopening the front-end journey.
Push issued cases straight into your PAS. Pull policy, premium, and status data back into the advisor journey.
Call your existing rules engine or reinsurer engine from the point of sale. Return the decision to your advisor in the field.
Share policy, beneficiary, and servicing data with your claims platform. Intimation and status are visible across channels.
Sync leads, activities, and pipeline both ways with Salesforce, Dynamics, and other CRMs. Advisors work in one place.
Collect first premium and renewals through your existing gateways. Mandate registration and reconciliation are handled in the journey.
Route captured documents, e-signed applications, and policy packs into your DMS. Metadata and retention rules stay intact.
Verify customers and advisors against national identity, licensing, and KYC registries. Achieve these while onboarding rather than after it.
Screen applicants and payees against watchlists at capture. Route hits for review before a case moves forward.
Feed distribution, compensation, and Expense of Management data into statutory reporting. Optimize for IRDAI, Bank Negara Malaysia, and comparable regimes.
Publish products and quotes to comparison platforms and marketplaces. Receive leads and applications back into the same pipeline.
Bancassurance journeys inside the bank teller and relationship manager screens. All with customer data drawn from core banking.
Expose quote, application, and commission APIs to brokers, agencies, and embedded partners. No need to build a portal for each.
Serve policy, compensation, and case status data to your existing portals and apps. No channel runs on stale information.
Trigger WhatsApp, SMS, email, and push notifications from journey events. Case in points include pending requirements or renewal due dates.
Stream distribution, sales, and persistency data into Power BI, Tableau, or your data warehouse. Achieve reporting on your own terms.
What connected systems deliver across the distribution and servicing lifecycle.
Embedded Intelligence Across the Insurance Lifecycle
C2L BIZ embeds AI across onboarding, underwriting, risk assessment, and distribution journeys. Each service runs inside the workflow. The advisor and the underwriter see the output on the screen they are already working in.
Read identity documents at capture and automatically populate application fields. The advisor types less and mistypes nothing.
Match a live selfie against the identity document on file. Confirm that the applicant is who the paperwork says.
Confirm a real person is present at capture rather than a photograph or a replayed video. Be ready before the application proceeds.
Sort uploaded files by type. Flag missing or illegible requirements at the point of capture rather than at issuance.
Pull structured values from lab reports and medical summaries. Pass them to underwriting without manual data entry.
Read income proofs, bank statements, and tax documents. Get comprehensive support for financial underwriting and affordability checks.
Score applications against historical portfolio data. Support straight-through decisions on clean cases and referral on the rest.
Flag anomalous patterns across applications, advisors, and payouts. Enable investigation before money moves.
Identify policies that are likely to lapse. Route them to advisors for intervention while the policy is still in force.
Suggest products and riders that fit the customer’s need analysis and life stage. Right inside the illustration journey.
Tell the advisor which customer to contact and why. Route action based on renewal dates, service events, and portfolio gaps.
Rank incoming leads by conversion likelihood. Ensure that field time goes to the cases most likely to close.
What embedded AI changes in the numbers insurers report on.