Insurance Brokers

Reimagine submissions, remarketing, and claims advocacy.

Roles and workflows

Three patterns. One operating discipline.

Illustrative preparation scenarios, not deployed workflows. Name the human owner, check source evidence, and agree escalation and sign-off before using AI outputs in your operations.

Pattern A

Submission to carriers

Placement specialist

Responsibilities to review

  • Read the client submission, ACORD app, loss runs, financials
  • Run appetite match against the carrier guideline library
  • Draft each per-carrier submission email pre-filled
  • Review and send

Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.

In an agreed practice scenario, AI can summarize a client submission and draft carrier emails using approved tools. The placement specialist checks the draft against the client's ACORD application, loss runs, financials and current carrier guidelines. Missing evidence or an uncertain appetite match is escalated to the responsible placement owner. The specialist signs off on the submission before sending it to a carrier.

See the role detail →
Pattern B

Renewal remarketing

Renewal specialist

Responsibilities to review

  • Pull expiring policy, claims experience, market changes
  • Draft the carrier remarketing package
  • Build the apples-to-apples comparison grid
  • Review and adjust

Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.

In an agreed practice scenario, AI can draft a remarketing package and comparison grid using approved tools. The renewal specialist checks the expiring policy, claims evidence and carrier quotations, including limits, exclusions and deductibles. Coverage gaps or conflicting terms are escalated to the accountable broker, who signs off on the comparison and proposed recommendation before it is shared with the client.

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Pattern C

Claims advocacy

Claims advocate

Responsibilities to review

  • Read the carrier reserve or coverage notice
  • Pull the relevant policy language
  • Draft the advocate's pushback memo
  • Review and coordinate cross-carrier disputes

Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.

In an agreed practice scenario, AI can draft an advocacy memo using approved tools. The claims advocate checks every proposed finding against the carrier notice, policy wording and claim record. Unsupported findings return for correction; disputed coverage or legal questions are escalated to the authorized claims or legal reviewer. The responsible advocate obtains sign-off before communicating the position or coordinating a cross-carrier dispute.

See the role detail →
5,978
Real job postings in this industry
429
Companies in this industry
4,516
Tasks mapped to industry roles
464
Source examples classified for AI support

Prepare your workforce for the redesigned work.

Your workforce brings people and AI agents together. Workflows define how they share the work. Define what agents do, who reviews their output, and when they hand work back. Use Task Intelligence to understand the tasks within each step, then prepare your people to build and run the new version through simulations, hands-on projects and skill validation. Revisit affected responsibilities and readiness when the work changes.

Task evidence within brokerage workflows

These research inputs include vendor and source-reported software capabilities, product features and descriptions of work. The stored classifications in this selection contain 464 source examples for AI support and 332 for automation. They are not validated workflow outcomes or proof of agent performance. Task Intelligence helps examine the work in context; review each example against your responsibilities, controls and exceptions before using it in a redesign. The first 5 AI-support examples are below.

Augment
Applied Insurance AI layer analyzes data patterns across agency book
Source context: AI-Powered Agency Management (Applied Epic + Applied Insurance AI) · Applied Systems
Augment
Identify renewal risks, cross-sell opportunities, and service gaps
Source context: AI-Powered Agency Management (Applied Epic + Applied Insurance AI) · Applied Systems
Augment
Provide underwriters and agents with AI-powered insights for client interactions
Source context: AI-Powered Agency Management (Applied Epic + Applied Insurance AI) · Applied Systems
Augment
AI validates and flags discrepancies between carrier and agency records
Source context: Carrier Connectivity & Policy Download Automation (Ivans) · Applied Systems
Augment
Alert agents to policy changes requiring action
Source context: Carrier Connectivity & Policy Download Automation (Ivans) · Applied Systems
332 source examples classified for automation›
Automate
Centralize all client, policy, and carrier data in Applied Epic AMS
Source context: AI-Powered Agency Management (Applied Epic + Applied Insurance AI) · Applied Systems
Automate
Automate routine workflows (renewals, policy downloads, certificate issuance)
Source context: AI-Powered Agency Management (Applied Epic + Applied Insurance AI) · Applied Systems
Automate
Connect to 900+ carrier partners via Ivans largest carrier connectivity network
Source context: AI-Powered Agency Management (Applied Epic + Applied Insurance AI) · Applied Systems
Automate
Carrier transmits policy data to Ivans network
Source context: Carrier Connectivity & Policy Download Automation (Ivans) · Applied Systems
Automate
Ivans routes transaction to agent's AMS automatically
Source context: Carrier Connectivity & Policy Download Automation (Ivans) · Applied Systems
Automate
Policy details populate in agency management system without manual entry
Source context: Carrier Connectivity & Policy Download Automation (Ivans) · Applied Systems
Automate
Configure automated client communication workflows in Applied Epic for key lifecycle events including welcome letters, renewal notices, policy change confirmations, and birthday greetings
Source context: Insured Client Communication Management · Applied Systems
Automate
Manage bulk communication campaigns for regulatory notices, severe weather alerts, safety bulletins, and new product announcements using Applied Epic's mass communication tools
Source context: Insured Client Communication Management · Applied Systems
Automate
Track all client communications in the activity diary with timestamps, communication channel, content summary, and follow-up actions required
Source context: Insured Client Communication Management · Applied Systems
Automate
Process undeliverable mail and bounced email notifications, updating client contact information and establishing preferred communication channels
Source context: Insured Client Communication Management · Applied Systems
Automate
Report communication effectiveness metrics including open rates, response rates, appointment scheduling rates, and correlation between communication frequency and retention rates
Source context: Insured Client Communication Management · Applied Systems
Automate
Generate the 90-day renewal pipeline report listing all policies expiring in the next 90 days with current premium, carrier, loss ratio, and predicted retention score
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Categorize renewals into processing tiers: auto-renew (clean accounts, competitive pricing), review and renew (moderate attention needed), and full remarket (unfavorable pricing or coverage changes)
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Gather updated underwriting information for remarket accounts including current exposures, loss control improvements, financial changes, and new risk factors
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Submit remarketing applications to alternative carrier markets, leveraging Applied Epic's carrier appetite matching to target the most likely competitive options
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Track carrier quote responses and compare against the incumbent carrier's renewal terms, building the recommendation for the client
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Process the renewal or new business bind with the selected carrier, updating all policy records, certificates, and billing arrangements in Applied Epic
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Document lost business reasons for accounts that did not renew, categorizing by cause (price, coverage, service, competitor, cancellation) for management reporting
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Analyze renewal pipeline performance metrics including retention rate by line of business, remarketing success rate, average premium change, and revenue impact of account movement
Source context: Renewal Remarketing Pipeline · Applied Systems
Automate
Orchestrate ensemble of specialized SLMs via Arcee Orchestra
Source context: Agentic AI Workflows with SLM Ensemble · Arcee AI
Automate
Each SLM handles a specific subtask (document processing, compliance check, customer communication)
Source context: Agentic AI Workflows with SLM Ensemble · Arcee AI
Automate
SLMs access internal systems via customer APIs
Source context: Agentic AI Workflows with SLM Ensemble · Arcee AI
Automate
Execute multi-step insurance workflow (e.g., claims intake to decision)
Source context: Agentic AI Workflows with SLM Ensemble · Arcee AI
Automate
Output business outcome or take action in downstream systems
Source context: Agentic AI Workflows with SLM Ensemble · Arcee AI
Automate
Customer uploads proprietary data to Arcee virtual private cloud
Source context: Domain-Specific Small Language Model Training for Insurance · Arcee AI
Automate
Apply Model Merging and Spectrum techniques to adapt base SLM
Source context: Domain-Specific Small Language Model Training for Insurance · Arcee AI
Automate
Fine-tune model on insurance-specific terminology and workflows
Source context: Domain-Specific Small Language Model Training for Insurance · Arcee AI
Automate
Validate model quality and accuracy on held-out insurance data
Source context: Domain-Specific Small Language Model Training for Insurance · Arcee AI
Automate
Deploy SLM in customer's cloud environment with full data ownership
Source context: Domain-Specific Small Language Model Training for Insurance · Arcee AI
Automate
Ingest KYC/KYB alert with customer information
Source context: AI Agents for KYC/KYB Investigation & Review · Bretton AI

How we work with brokers

Name a practice owner, such as the SVP Placement, EB practice head or Head of Claims Advocacy, alongside your COO or transformation office. Scope the 6 to 8 week AI Bootcamp around one practice, approved tools and agreed assessment criteria. Your organization owns source-evidence review, escalation rules and operational sign-off. Any expansion, system integration, rollout or continuing support is separately agreed.

AI Bootcamp
6 to 8 weeks
One practice (Placement, EB, or Advocacy), workflow practice and assessment
Transformation Engagement
Custom
Agree the workflow redesign and responsibilities across placement, employee benefits or advocacy practices
Implementation
Agreed scope
Confirm approved AMS and tool access, data, licenses, integration ownership and operating acceptance before rollout

Want a brokerage-specific walkthrough?

Review relevant task evidence and illustrative placement and advocacy responsibilities for your practice mix. Discuss the tools, source checks and approval rules your preparation would need.

Book a time