Making Risk Flow™

Join the community

Accelerate your risk digitization journey

Making Risk Flow™ is the insurance industry's first global network of risk digitization professionals offering exclusive events through Risk Flow Events, top-tier educational resources through Risk Flow Academy, and unparalleled connections. Network with industry leaders, access premium content, showcase your expertise on our Making Risk Flow podcast, and stay ahead of the latest trends and news. Join the Making Risk Flow Community! Discover more and sign up now.

Join the community

Risk Flow Events

Explore our events

London

4.2.2025

Mastering Risk Digitization: From Business Case to Business Impact

London, Temple Bar

12.11.2024

Making Risk Flow Community Exclusive Dinner

Mandalay Bay, Las Vegas

16.10.2024

ITC Vegas

Google HQ in Kings Cross, London

8.8.2024

Google & Cytora Exclusive Event: Democratising Gen AI in your organisation

Podcast: Making Risk Flow

Top 5 Episodes of 2024: No.3 - The GenAI Playbook: Guide to Insurance Transformation with Jacob Palmer

Top 5 Episodes of 2024: No.4 - The Major Trends on Insurance’s Horizon with Clive Buesnel

Top 5 Episodes of 2024: No.5 - How Lloyd’s is Embracing Digital Change in Insurance with Bob James

AI Predictions for Global Insurance from Former AIG Executive, Johan Slabbert

Innovating Insurance: Aon’s Billion-Dollar Bet on Data | Jillian Slyfield, Aon

Beyond Theory: Unlocking Business Value with Complete Digital Risk Flows | James Wright, Henrik Bjørnstad and Jason Howes

Risk Flow Academy

Designed for commercial insurance professionals, Risk Flow Academy offers in-depth training on digitizing submissions, designing schemas, and integrating data sources into digital workflows. The Academy provides everything from simple explainers on how to digitise core workflows to accelerate business objectives, to key sources of value, typical integration patterns, and comprehensive documentation.

Maximising the value of digitized risk data

In this lesson you will learn about the benefits of digital data extraction brings to organisations beyond digitizing risk workflows

Introduction to Extraction

In this lesson you will the importance of data extraction and the challenges and objectives driving the need for digital data extraction tools in the insurance industry

Challenges and Complexities in Extraction

In this lesson you will deep dive into the complexity of digital data extraction in commercial insurance, various challenges in this process and how to address them effectively

Best Practices for Data Extraction

In this lesson you will learn the best practices and approaches for implementing data extraction to enhance efficiency and accuracy of insurance operations, and decision making

Leveraging Digital Risk Processing platforms for Data Extraction

In this lesson you will learn how how Digital Risk Processing platforms can solve the complexities of data extraction, augmentation and digital risk flows in commercial insurance

Cytora Configuration of Classification and Extraction

This lesson is a deep dive on how classification, taxonomy and extraction can be set up in the Cytora platform

Accuracy in Classification

This lesson will explore how to achieve accuracy of classification, how it’s calculated and used, and the concept of ground truth and its importance in evaluating model performance.

Defining a Taxonomy

This lesson will explain how to define taxonomy and the three key levers that are used to achieve successful outcomes.

Achieving an Optimal Taxonomy

This lesson dives into what makes an essential strategy for effective taxonomy optimisation.

Automated LLM (Large Language Models) Driven Technology

This lesson provides an explanation of a key technology in auto-classification - Large Language Models

Introduction to Classification

In this lesson you learn the concept, challenges and objectives of Classification when using the Cytora platform and its integration into insurance operations

Triage in Classification

This lesson explores the concept of triage and how it plays a crucial role in classification.

Application Programming Interface (API)

This lesson introduces the Application Programming Interface (API) method, explaining what API is and why it's Cytora’s preferred method.

Fully Digitised Intake

This lesson concludes Module 1 with the concept of fully digitised risks, prepared for assessment, highlighting the culmination of the digitisation process facilitated by Cytora.

How the Input process begins

This lesson focuses on inputs into Cytora, beginning with an overview of the ingestion process.

This lesson discusses the various intake methods, including central destination and sending risks via mail to Cytora File address.

Challenges experienced in receiving and collecting items

This lesson delves into challenges encountered when sending items - including issues related to uniformity, documentation, and classification by type.

Introducing Cytora

This lesson introduces you to the Cytora platform where we will examine - at a high-level - the early stages of digital risk processing within the Cytora platform.

Risk Flow Blog

Cytora and Moody’s RMS partner to help insurers weather climate and natural disaster risk

The integration will enable P&C underwriters to gain unprecedented insights into climate and natural disaster risk.

Cytora and Moody’s RMS partner to help insurers weather climate and natural disaster risk

The integration will enable P&C underwriters to gain unprecedented insights into climate and natural disaster risk.

Cytora and Pelmorex Corp team up to provide commercial property underwriters with deeper insights into climate-related risks

Partnership will provide insurers with global weather and climate modeling data to make faster and more accurate underwriting decisions

Cytora and Pelmorex Corp team up to provide commercial property underwriters with deeper insights into climate-related risks

Partnership will provide insurers with global weather and climate modeling data to make faster and more accurate underwriting decisions

AI Predictions for Global Insurance from Former AIG Executive, Johan Slabbert

by Juan de Castro, COO Cytora

AI Predictions for Global Insurance from Former AIG Executive, Johan Slabbert

by Juan de Castro, COO Cytora

Innovating Insurance: Aon’s Billion-Dollar Bet on Data | Jillian Slyfield, Aon

by Juan de Castro, Cytora COO

Innovating Insurance: Aon’s Billion-Dollar Bet on Data | Jillian Slyfield, Aon

by Juan de Castro, Cytora COO

Insurers to gain global location intelligence through dataplor and Cytora collaboration

The partnership will provide insurers with comprehensive location intelligence on 250 million locations in 200 countries to enable more accurate property underwriting decisions

Insurers to gain global location intelligence through dataplor and Cytora collaboration

The partnership will provide insurers with comprehensive location intelligence on 250 million locations in 200 countries to enable more accurate property underwriting decisions

Beyond Theory: Unlocking Business Value with Complete Digital Risk Flows | James Wright, Henrik Bjørnstad and Jason Howes

by Juan de Castro, COO Cytora

Beyond Theory: Unlocking Business Value with Complete Digital Risk Flows | James Wright, Henrik Bjørnstad and Jason Howes

by Juan de Castro, COO Cytora

Risk Flow Digest

By using this website you agree to our cookie policy