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Confidential & Proprietary Best Practice Technology Considerations for Agency Networks A.J. Lovitt, Combined Agents of America
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Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Aug 01, 2020

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Page 1: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

Best Practice Technology Considerations for

Agency Networks

A.J. Lovitt, Combined Agents of America

Page 2: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

–Jack Welch

“If the rate of Change on the outside exceeds the

rate of Change on the inside, the end is near”

Page 3: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

CONFIDENTIAL & PROPRIETARY

February 2018

“Data has become one of the most sought-after network resources”

Technology - Business Intelligence

Data is merely unorganized “bits of information”; however

structured & measured it becomes business intelligence.

Page 4: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

End Customer

Member Agency

# 3

Carriers

End Customer

Member Agency

# 4

Carriers

Network/Aggregator

Disparate AMS Systems

Carrier Production Reports

Reviews &Reconciles Infrequently

Establishes Specific Targets & Incentives

Current State: Fragmentation Dilemma- Complex Horizontal Management (Many-to-Many)

Supplies Data Supplies Data Supplies DataSupplies Data

Administrator Compiles Multitude of Documents: Builds .xls Files

Member Agency

# 1

Carriers

End Customer

Member Agency

# 2

Carriers

End Customer

Historical Reports Delivered 1 Time/Yr.(To Late to Affect Results)

Page 5: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

CONFIDENTIAL & PROPRIETARY

Data: Who Owns It and How do You Manage It

Agency

Agency

&

Network

Network

Limit Policy Level Info

Aggregate

Carrier

No Personal Information

Page 6: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

CONFIDENTIAL & PROPRIETARY

Data: How Accurate is It?

Agent

Agency Management System

Customer

Agency Mobile

App

Agency Website

Agency - 80% Accurate

Network - 72% Accurate

Carrier - ?

Carriers

Page 7: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

CONFIDENTIAL & PROPRIETARY

February 2018

CHALLENGES

Complex Horizontal Management

DataOwnership

Contracts/PermissionsAccuracy

The Changing Digital Demands

Page 8: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

Platform Strategy: Open Architecture

Tableau

ProvenWorks

Development Platform

AI Platform Services

DataServices

MultitenantInfrastructure

Machine & Deep Learning

Natural Language Processing & Generation

Sales Service MarketingCommunityAnalytics Apps Commerce IoT Quip AppExchange

Applications

Platform

Salesforce

Veruna

Page 9: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

CONFIDENTIAL & PROPRIETARY

EQUIP OUR AGENCIES WITH INDUSTRY LEADING TECHNOLOGY TO BETTER COMPETE

Core Carrier

$1,000,000 revenue

Network Agency

Large National Agency2.8% technology

$28,000 annually

$100,000,000 Network Revenue

$2,800,000 Technology

$7,500,000 premium

Compete

Page 10: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Carriers

Technology

Providers

Networks &

Agencies

Collaboration, Operational Efficiencies & Benchmarking

Do Things Together We

Can’t Do on Our Own.

Networks

AgenciesCarriers

Technology Providers

Confidential & Proprietary

HarmonizationOpportunity

Crawl Walk Run Fly

Page 11: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI
Page 12: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

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Page 13: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

PREMIUM ALIGNMENT fueled with organic growth

Consensus

& High Interest

Total Business

Non-Core(Strategic Misalignment)

Network Agencies

Strategic Carrier

Page 14: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

Collaborative Planning

Strategic Planning (+2-year horizon line)- long term planning between Networks and Carriers currently happens at the “highest level” with the mutual intent to achieve the agreed too objectives/goals by the senior executives of both parties. The difficulty of target setting, consensus and alignment from agencies, customer service representatives and underwriters compromise the opportunity to succeed at the highest levels.

Annual Planning- the process between the 3 constituents (Carriers, Networks and Agencies) is currently lacking a formal and systematic approach to establish objectives, measure the progress at various milestones and “ring the bell” to share the success more broadly.

1.

Operational Efficiencies

Carrier Monthly Production Reporting- the carriers provide a production report to the networks and agencies in many disparate formats. Many times, the production reports are not provided in a timely fashion due to the exhaustive effort it takes carrier employees to create the unique reports for each network and individual agency.

Network & Agency Reconciliation Process- the networks ability to understand performance across all their member agencies is a time consuming and human resource intensive activity. Due to this situation the reporting and reconciliation is either not accomplished or at best once a year when it is too late to address any challenges or opportunities.

2. Benchmarking

Multi-level benchmarking between carriers, networks, agencies and employee’s in an anonymized fashion is limited or non-existence on a single platform today.Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI capabilities.

3.

Page 15: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

Operational Efficiencies

Carrier Monthly Production Reporting-The carriers provide a production report to the networks and agencies in many disparate formats. Many times, the production reports are not provided in a timely fashion due to the exhaustive effort it

takes carrier employees to create the unique reports for each network and individual agency.

Network & Agency Reconciliation Process-The networks ability to understand performance across all their member agencies is a time consuming and human resource intensive activity. Due to this situation the reporting and reconciliation is

either not accomplished or at best once a year when it is too late to address any challenges or opportunities.

Beta Partnership Benefits• Streamlines reporting through API connectivity.

• Lowers the number of human resources required to create, manage and

distribute information.

• Removes “rote chores” and realigns talent for more critical thinking

activities & analysis.

• Increase accuracy of reporting by lowering human error possibilities.

• Opportunity to test operational changes in a “lab environment” without

disrupting the current processes.

Carriers

API

API

Agency

Subscribers

Network

Subscribers

Cloud-based

Business Intelligence

Platform

What value is derived by partnering with AgencyKPI? Operational Efficiencies

Page 16: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

Best Practices-Multi-level benchmarking between/across carriers, networks, agencies and employee’s in an anonymized fashion is limited or non-existence on a single platform today.

Learn & Predict-Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI capabilities.

Benchmarking

Beta Partnership Benefits• Comparative data (attributed and/or anonymized) by:

a. SIC/NAICS

b. By/Across Peers (Anonymized/Syndicated)

c. By Geography

d. By/Across Networks

e. By/Across Agencies

f. By/Across Employee

g. By/Across Underwriter

• Internal benchmarking- a comparison of a business process to a similar process inside

the organization.

• Competitive benchmarking- a direct competitor-to-competitor comparison of a

product, service, process, or method.

• Functional benchmarking- a comparison to similar or identical practices within the

same or similar functions outside the immediate industry.

What value is derived by partnering with AgencyKPI? Benchmarking

Page 17: Best Practice Technology Considerations for …...Development of historical and near real-time datasets (Big Data) with the opportunity for trending, predictive models and future AI

Confidential & Proprietary

–Jack Welch

“If the rate of Change on the outside exceeds the

rate of Change on the inside, the end is near”