You know what an inspection would tell you. You can afford it on a fraction of the book.
Scale insurance loss control across the whole book
A loss control inspection tells an underwriter what a model leaves out. It costs too much to run on every risk, so most of the book gets priced from credit files and imagery. Sena records the building itself, at the scale the book needs.
Which properties carry conditions your pricing has yet to reflect, which conditions your own claims history says predict losses, and which risks earn a condition requirement at renewal.
Property and CasualtyReinsuranceCommercial Real Estate and REITsMortgage and Lending
Underwriting, claims, actuarial, and portfolio management teams at commercial property carriers, reinsurers, lenders, and property owners.
Sena, the Decision AI from Rwazi.
Decision AI with access to real-world dataThe problem
Commercial insurance loss control is a solved method with an economics problem. The inspection works. It costs too much to run at book scale.
The model prices what it can see from a desk
Credit files, claims history, imagery, and public hazard maps. Each is real, each is cheap at scale, and each describes the property from a distance. The sidewalk holds the rest.
The conditions that produce losses sit at the building
Deferred maintenance. A fire door wedged open. Pallets stacked against a wall. Drainage running toward the slab. A neighboring occupier storing something you would price for if you knew. None of it reaches a desk.
So the book splits in two
A slice gets a real loss control inspection and gets priced on what is there. The rest gets priced on the model, and the risks that look worst on paper are the ones that get the visit. The properties nobody looks at are where adverse selection lives.
The question is narrower than a data question. Given you already know what to look for, how much of the book can you afford to look at.
How Sena runs insurance loss control at scale
Set the condition schedule
Name what your underwriters want recorded: building condition, roof and envelope, fire safety indicators, housekeeping and storage, drainage, and the condition of what adjoins the property. Your schedule, applied identically at every address.
Record the properties
Sena Computer Vision visits the addresses in scope and records the schedule at each one. Loss control inspections run in parallel across the book, so coverage stops being set by how many inspectors are available.
Read conditions against your claims history
Sena joins the condition record to the claims data you hold and reports which conditions track with losses in your own book. The predictive weight comes from your history, so the finding is yours, where an industry average describes somebody else’s book.
Return the risk adjustment
Each property comes back with the conditions found, how they compare with the book, and what your own loss experience says that implies for price, for a condition requirement at renewal, or for declining the risk.
Re-read on your cycle
Buildings deteriorate and buildings get fixed. The read repeats annually or on the cycle you commission, so a condition that changed since binding is visible at renewal.
Industries and Rwazi capabilities involved
| Industry | Why it applies |
|---|---|
| Property and Casualty | Core. Property loss control drives the loss ratio on the commercial book, and inspection coverage decides how much of it is priced on evidence. |
| Reinsurance | A treaty is priced on a portfolio the reinsurer has yet to see. Condition data at property level gives attritional loss modelling something observed to work from. |
| Commercial Real Estate and REITs | The same condition record serves acquisition diligence and portfolio risk, and it is the read a buyer wants before closing. |
| Mortgage and Lending | Collateral condition at scale, on a book where the lender’s exposure outlives the appraisal. |
Check out Rwazi and Sena capabilities
| Capability | What it does here |
|---|---|
| Sena Computer Vision | Core. Visits each property and records the condition schedule: building state, envelope, fire safety indicators, housekeeping, drainage, adjoining conditions. |
| Sena (Decision AI) | Core. Joins the condition record to your claims history, reports which conditions track with losses in your book, and returns a risk adjustment per property. |
Property only. Every input on this page is a fact about a building, which makes UC-024 the only property-only page in the set.
Where the loss ratio leaks
| Exposure | What it looks like | What the record changes |
|---|---|---|
| Underpriced and uninspected | A property the model scored well, carrying a condition nobody recorded. It pays premium at a rate below what the risk carries, until it produces a claim. | The condition arrives before the claim, so the price or the requirement can move at renewal. |
| Overpriced and uninspected | A property the model scored badly on postcode, age or claims history, in better condition than any of that implies. It is quoted high and it leaves. | Evidence supports a competitive price on a risk worth writing, which is where growth sits. |
| Inspected, and the finding aged | A property inspected at binding, three renewals ago. The report is accurate about a building that has since changed. | A repeating read means the file describes the property as it stands. |
The middle one is the one carriers underweight. Primary loss control is usually framed as avoiding bad risks, and half its value is identifying good ones you are pricing as though they were bad.
Ask Sena
Data connected 3/4
Sena
Illustrative interface. Numbers are an example, not a Rwazi result.
Roles and functions
Underwriting
Prices and renews on recorded condition, and sets condition requirements that are specific to what was found at the address.
Claims
Sees hazardous conditions before they produce a claim, and carries the condition record into investigation.
Actuarial
Adds condition variables that came from observation to models built on credit files and history.
Finance solutions →Portfolio management
Finds condition concentrations across the book that a geographic view leaves invisible.
Strategy solutions →Reinsurance and ceded
Brings observed property condition to a treaty negotiation, where a schedule of values reports the same building as a number.
Why teams choose Sena for this
| What you need | What Sena does |
|---|---|
| Coverage as well as accuracy | Records the condition schedule across the whole book in parallel, so inspection coverage stops being set by inspector headcount. |
| The building, beyond the file | Visits the address and records what is there, where credit files and imagery describe the property from a distance. |
| Predictive weight from your own losses | Joins conditions to your claims history, so the correlation reflects your book, where an industry table averages across many. |
| An integrated loss control insurance record | One schedule, applied identically, refreshed on your cycle, so underwriting, claims and actuarial argue from the same file. |
Talk to Sena about the part of your book nobody has looked at
Tell us the decision you are weighing, and we will bring the market read to the conversation.
Start from your own question
Bring the decision in front of you and we will run the first read against it on the call.