Insurance and Risk
What a Business Analyst Does in an Insurance Digital Transformation
Insurance transformation is the word people use when they mean “we are replacing a 20-year-old system, but also the way underwriting talks to claims, but also the way claims talks to the customer, and also the data is wrong.” A Business Analyst who treats this as a software project will deliver a software project on time and a transformation that quietly fails. The work is bigger than the platform.
The word "policy" means six different things in the room
On day one of any insurance project I have worked on, someone says “policy” in a meeting and four people nod. Then it turns out underwriting means the bound contract, claims means the active coverage at the date of loss, operations means the record in the admin system, finance means the premium schedule, and the customer means the document they got in the mail. None of them are wrong. All of them are talking past each other.
My first job is not writing user stories. It is making a glossary that the room can argue about and then agree on. Once quote, bind, endorsement, renewal, lapse, reinstate, claim, FNOL, coverage, exclusion, and exception each have one workflow meaning, the stories start writing themselves. Skip this step and you will rewrite the backlog three times.
The happy path is the smallest part of the system
Insurance lives in the exceptions. Missing documents. Manual review. Coverage ambiguity. Duplicate policy records from a legacy migration. Fraud holds. Billing mismatches. Endorsements that retroactively change a claim that is already open. A customer who calls and is told one thing on the phone while the system says another.
If the only thing documented is the happy path, the team is not estimating the work — they are guessing. I make the exception matrix before I write acceptance criteria. Every state the system can be in, every actor who can act on it, every handoff that has to survive a partial failure. The matrix is ugly. That is the point.
The customer journey and the risk control are the same conversation
Two truths live next to each other in every insurance product. Customers want a fast quote and a simple claim. Risk and compliance want the right controls, the right disclosures, the right evidence retained. These get presented as a tradeoff. They are not. They are the same conversation if the Business Analyst does the work.
A controlled workflow with bad customer copy creates support volume. A fast journey without the right control creates exposure the company finds out about later. The interesting requirements work is figuring out where the control should live so the customer barely notices it, and where the customer needs a clear explanation so the control does not feel arbitrary.
Handoffs are where transformations actually break
Underwriting, claims, operations, finance, compliance, technology, support, and leadership each see a different slice of the policy lifecycle. A transformation does not fail because one team got it wrong. It fails because the handoff between two teams depended on a meeting note that nobody can find six months later.
I produce artifacts that survive turnover. A decision log so the “why” outlives the people who decided. A process map that names owners at every step. A data dictionary so finance and operations stop arguing about whose number is right. Those are not deliverables. They are the connective tissue the transformation actually runs on.
What I would have on the wall by week four
Glossary. Process map for each lifecycle event. Decision table for underwriting and claims rules. Data dictionary with owners. Exception matrix with named handoffs. Acceptance criteria written in language that a claims examiner and a developer both understand. Go-live readiness view that is honest about what is not ready yet.
None of it impressive on its own. All of it together is the difference between a transformation that ships and a transformation that becomes a cautionary story in someone else’s case study.