We build operations platforms for insurance businesses where policies, claims, endorsements and agents are each modelled as their own record type with their own lifecycle — not as sales deals in a generic CRM. The system we built for one insurance operations team replaced exactly that setup, plus the spreadsheets that had grown around it, and improved claims turnaround by roughly 40% through automated routing and role-scoped access.
A policy, a claim and an endorsement have different lifecycles, approvals and documents. Forcing all three into a sales pipeline object means custom fields, then workarounds, then spreadsheets.
Once the CRM stops fitting, the operating truth moves into spreadsheets. After that, no report reflects the actual position because the position is not in the system.
Agents, managers and back-office staff seeing the same unrestricted view is both a usability problem and an audit exposure.
When status is not visible, people phone and email to ask. That load is entirely avoidable and it lands on the team least able to absorb it.
If every incoming claim waits for a human to classify and assign it, turnaround can never be faster than the queue in front of that person.
Policies as first-class records with their own fields, states, renewal handling and document attachments.
Claims classified and assigned by rules rather than manual triage, with escalation when a case sits past its SLA.
Mid-term changes tracked against the policy with their own approval steps and a full history of what changed and when.
Agent records, ownership of policies and claims, and performance visibility scoped to the right people.
Permissions scoped by role and record ownership, with every state change logged so access holds up under audit.
The out-of-system data mapped into the new schema and reconciled before cutover, so the platform is the single source of truth from day one.
If your process matches the product's assumptions, configure it — that will be cheaper. Custom becomes the right call when your core records are not deals, when per-seat licensing at your headcount exceeds a build, or when access and audit requirements go beyond what the platform will give you.
Yes, and that is usually the point. We map the out-of-system data into the new schema, run a trial migration on a copy, and give you reconciliation reports to sign off before cutover.
Permissions are scoped by role and by record ownership rather than granted wholesale, and every state change is logged. That combination is what makes the access model defensible in an audit.
These are phased rather than delivered in one release. Each module — policies, then claims, then endorsements — goes live to users as it lands, which is how the last one was delivered.
We will tell you which part is worth automating first and what it would take.