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NewIntroducing PASBerri. Policy administration, without the weight.See it in action →

Migration on the Mulberri platform

Migration is a product, not a project

Connect your legacy policy admin systems and rating sources through prebuilt connectors on day one. Berri AI finds what you run, builds what’s missing, and proves the result against your own book before anything goes live.

Your legacy stack9 systems, 3 rating sources, 14 years of records

Discovery
RECORD
Migration includedNo separate fee, a decision date on the calendar

The market

Two ways to buy this problem. Neither one fixes it

One camp sells you a program. The other rents you a layer. Your book stays where it was.

  • The project

    The traditional suites

    A replacement measured in fiscal years. Architecture reviews of your existing code, mapping decks written by hand, an integrator billed by the hour, and a cutover weekend at the end. The platform you bought waits behind the project you funded. Afterward, every rate change goes back through the vendor.

  • The layer

    The new AI players

    Intelligence rented on top of the systems you already have. The demos are impressive. But the record underneath stays fragmented, the layer is one more system to integrate, and the moment you want to change what sits below it, you are back in the project.

  • The fabric

    The suite carries its own migration

    The record, the logic, and the agents live in one place, and moving in is part of the product. Connectors keep your current systems live while Berri AI carries what you choose to move. No single cutover to bet the company on, no layer to reconcile, and you change the logic yourself in plain English.

Discovery

Know your scope before you commit

Point read-only connectors at what you run today: the policy admin system, the rating spreadsheets, the agency management system, the document stores. Berri AI takes inventory. Which systems hold the book. Where the rating logic actually lives. Which records conflict. You get a readiness report with a proposed scope, acceptance criteria, and a decision date, before you have signed anything.

  • Read-only by design. Discovery never writes to your systems.
  • Every finding cited to the system and file it came from.
  • Conflicts surfaced up front: two rating sources, disagreeing class tables, orphaned records.
  • The readiness report becomes the migration plan. Nothing gets re-scoped later.

Berri AI · Discovery

Inventory of the systems you run today.

  • Scanned 6 connected systems
  • Found 3 rating sources, 2 in conflict
  • Mapped 14 years of policy records
  • Readiness report ready for review

Read-only throughout. Nothing was written to your systems.

How it works

Find, build, prove

Your team checks each step, and nothing goes live without sign-off.

Step 1

Berri AI reads what you have

Rating sheets, appetite guidelines, authority grids, forms, policy registers, bordereaux, loss runs. Any file, any format, plus everything discovery already inventoried. A source citation on every value.

Reading the inputs3 files, every value cited to its page

Rating_Model_2026.xlsxSheet 3 · 18 factors extracted

Read

UW_Guidelines_v4.pdfPages 4 to 11 · 9 rules mapped

Read

Policy_Register.csv14 years · records structured

Read

Step 2

The mapping shows itself before anything moves

You get a mapping report, not a promise. Every source field, every target, every assumption Berri AI made, laid out for your team to confirm or correct. Nothing lands on the fabric until you approve the map.

Mapping report26 source fields · 25 confirmed, 1 for your call

Awaiting approval

Insured name to record.insured

Confirmed

Class code to record.class

Confirmed

Payroll basis to rating.payroll

Your call

Step 3

Berri AI builds what's missing

Discovery always finds gaps. A claims system with no connector. Rating logic that lives in one person's spreadsheet. A form format nobody can parse. Berri AI builds the fix itself: a connector from a sample export, the rating plan rebuilt in UWBerri as formula steps and factor tables you can open and test, an extraction model trained on the form. Configured, not coded, so every fix stays yours to change.

Gaps and fixesFound in discovery, built by Berri AI

Connector built from a sample exportGap: No connector for the claims system

Built

Rating plan built in UWBerri, test run passedGap: Rating logic in a spreadsheet

Built

Extraction model trained on the formGap: Unreadable form variant

Built

Step 4

Proven against your own book

Berri AI reruns your historical cases through the rebuilt logic and compares the output to what your legacy system produced. Acceptance criteria are agreed at kickoff. The line goes live when the replay meets them, and both systems run in parallel until then.

Replay against the bookCommercial Property · 150 historical cases

Parallel run
129 of 150 cases replayedLive after 150

127

match legacy

2

within tolerance

0

outside

Goes live when the replay meets the criteria agreed at kickoff

Three ways in

Stay, move, or launch. The fabric doesn't force the choice

  • 01

    Stay on your stack

    Coexist through connectors. Your policy admin system stays the record while the fabric connects to it and Berri AI works at the edges: intake, screening, preparation. Structured submissions hand off to your external system by API. Books can move later, one line at a time.

    • Your PAS stays the record
    • Berri AI works at the edges
    • Move later, one line at a time
  • 02

    Move your book

    Berri AI carries the book through the fabric to the acceptance criteria agreed at kickoff. Full history comes along: policies and versions, endorsements, claims, certificates, financials. Migration is included, with no separate fee.

    • Acceptance criteria agreed at kickoff
    • Full history comes along
    • No separate fee
  • 03

    Launch a new line

    Describe the line in plain English and attach a rater. Berri AI builds the rating plan, the appetite rules, and the forms, live in the sandbox the same day. No release cycle to wait on.

    • Described in plain English
    • Rating plan, rules and forms built
    • Live in the sandbox the same day

What moves

Years of work, carried over whole

  • Rating logic

    Formula steps, factor tables, and variables into UWBerri rating configuration.

  • Appetite and triage

    Guidelines become rules that read operations, not just class codes.

  • Authority

    Binding authorities and referral thresholds, enforced live.

  • Forms and templates

    Quote, policy, and endorsement documents attached to the record.

  • Policy records

    Versions, endorsements, renewals, and cancellations with history.

  • Claims

    Open and closed claims with reserves and payment history.

  • Certificates

    Issued certificates linked to the policy versions behind them.

  • Financials

    Invoices, commissions, taxes, and bordereaux by binder period.

Governance

Berri AI does the carrying. Your people make the calls

Every extracted value carries its source. Every mapping is confirmed before it lands. Every action is logged on the record. Every decision is confirmed by an underwriter.

On the recordEvery value cited, every mapping confirmed, every action logged

Complete

Territory factor 1.12cited to Rating_Model sheet 3, p.2

BP

Appetite rule 14 mappedconfirmed by B. Parsons

BP

Payroll basis selectionlogged 14:02

RM

Cutover approvalunderwriter sign-off

Start connected

There is no integration phase. That's the plan

Bring your rater and your stack as they are. The fabric connects on day one, and Berri AI builds whatever the library doesn't cover. Built for MGAs, carriers, brokers, and reinsurers.

See the integrations