The AI operations layer
for insurance services.

01 · The problem

The insurance operations layer is broken.

The traditional insurance assistance model is fragmented, expensive, and heavily dependent on manual coordination.

01

Broken financial incentives

The system makes more money when it spends less on customer service.

02

Reliance on intermediaries

There are too many operational layers between the insurer and the actual solution.

03

Loss of customer control

Insurance companies outsource their customer experience to external third parties.

04

Outdated infrastructure

The current model still relies on manual processes and structures designed before the AI era.

02 · The solution

Our solution, reimagined.

01Request
02AI Intake
03Match
04Dispatch
05Follow Up
06Resolution
07Data Back

Request

01

One AI Operations Layer

Weso consolidates TPAs, assistance companies, dispatch operations, and call centers into a single AI-powered coordination platform.

02

AI-native, real-time operations

We automate service orchestration end-to-end with AI, reducing operational friction, response times, and fixed costs.

03

Usage-based economics

Unlike legacy per-capita models, Weso operates with a flexible pay-per-use structure enabled by automation and intelligent coordination.

03 · NPS & KPIs

Operational performance, in numbers.

AI-native coordination is already translating into faster service, greater automation, and a consistently strong customer experience.

01

Voice AI + automation

100%
Every request is answered in under 10 seconds.
02

Faster resolution

Technician assignment and service resolution.
03

Faster arrival

Time from request to service arrival.
04

First-contact resolution

98%
Cases resolved during the first interaction.
05

Autonomous coordination

95%
Completed automatically, without human intervention.
06

Recorded calls

100%
Every call logged for traceability and quality.
07

CSAT

4.8/5★★★★★
Customer satisfaction index.
08

Human handoff

<60s
Transfer time when a person is needed.

04 · Projected opportunity

From operating volume to Weso revenue.

A focused view of the 72-month projection: scale first, then the value Weso captures.

  1. 016.58M

    Service cases

    Projected across the operating network

  2. 02USD 754.8M

    Processed service value

    USD 114.76 average ticket

  3. 03USD 217.1M

    Weso revenue

    USD 215.5M in fees + USD 1.54M in licenses

05 · Changing the economics

Why does Weso win now?

From paying for insured members to paying only for services used.

FROM

Pay for every insured member

TO

Pay only for services used

We structurally changed the economics.

0%

savings for insurance companies

This saving is enabled by Weso’s fee-for-service model. Weso earns a 35% fee on each service delivered.

06 · Compounding advantage

Weso gets stronger with scale.

Every service improves the infrastructure behind the next one.

Today

Fragmented. Paid in advance.

Pays for coverage / capacity

Upfront · Per capita · Fixed

With Weso

Unified. Paid for usage.

Pays only for what is used

Per service · Transparent · Variable

Smart orchestrationQuality controlReal-time trackingData & AI

Built by insurance + software operations

The team behind the layer.

Chile

Eduardo Diaz

COO · Co-founder

Chile

Sebastian Sarovich

CEO · Founder

United States

Ricardo Aizenman

Chairman ICP · Co-founder

Ecuador

Laura Ospina

AI Manager · Tech Co-founder

Uruguay

Martin Pinto

CCO · Co-founder

Chile

Martin Baumann

Head of Growth · Co-founder

07 · The opportunity

Building the operating layer insurance has been missing.

6-month commercial pipeline

4in implementation
2in decision
182insurance companies in pipeline

Technology & AI

Automate the coordination layer

Insurance integrations

Connect insurers and service networks

US & EU expansion

Scale the operating footprint