Submission preparation agents
Gather client facts, normalize applications, identify missing documents, and prepare carrier-ready submission packets.
← All solutions
Insurance Brokerages
AI Agents for Insurance Brokers
Producers should not lose a day to rebuilding submission packets.
Direct answer
AI agents for insurance brokers
Arkhos Labs builds custom AI agents for insurance brokerages that prepare submissions, compare quotes, manage renewals, review policies, and coordinate account service work across email, AMS, carrier portals, and documents.
Use cases
Workflows we can own
Quote comparison agents
Extract coverage, exclusions, limits, premiums, and conditions across carrier quotes so account teams can review differences faster.
Renewal workflow agents
Track renewal timelines, client requests, policy changes, carrier responses, and internal tasks before deadlines become emergencies.
Systems
Integrations the agent has to respect
Applied EpicAMS360HubSpotSalesforceMicrosoft 365Google WorkspaceCarrier portalsSharePoint
Controls
Where the implementation has to be careful
Licensed human review
Agents prepare comparisons and operational work, but licensed producers and account managers approve client advice.
Coverage detail traceability
Extracted coverage details can link back to policy documents, endorsements, quote sheets, or applications.
Deadline-sensitive workflows
Renewal agents prioritize time-based work and escalation paths instead of burying tasks in another queue.
Insurance work is full of invisible handoffs
Brokerages run on documents, deadlines, and follow-up. Applications arrive incomplete, quote details vary by carrier, renewal timelines live in spreadsheets, and account teams chase information across inboxes and portals.
An agent can take ownership of that coordination layer.
What we build for brokerages
Submission agents
The agent compiles client facts, checks for missing information, normalizes documents, and prepares the submission packet for carrier review.
Quote comparison agents
The agent extracts limits, premiums, exclusions, endorsements, and conditions from carrier quotes so account teams can focus on judgment and client guidance.
Renewal agents
The agent watches renewal dates, missing inputs, carrier responses, and internal handoffs. It escalates early instead of waiting for the last week.
Built for brokerage realities
- Licensed review. The system supports producer and account manager decisions. It does not replace coverage advice.
- Document traceability. Policy and quote details can be traced back to source files.
- AMS fit. The agent has to work with the management system and the email workflows your team already uses.
Engagement model
- Week 1-2. Map one line of business, renewal flow, and document set.
- Week 3-6. Build the first agent against real submissions or renewals.
- Week 7-8. Run alongside account managers and compare completeness, speed, and escalation quality.
- Week 9+. Expand across lines of business and account teams.
Book a call. Bring a renewal or submission process that still depends on too much manual chasing.
Questions
Answers buyers usually need first
What can AI agents automate for insurance brokers?
AI agents can automate submissions, quote comparison, renewal tracking, policy review, client follow-up, missing-document requests, and account service handoffs.
Can AI agents compare policies?
Yes. They can extract and compare policy details, but coverage recommendations should remain under producer or account manager review.
What brokerage workflow is best to automate first?
Renewal management is often the best first workflow because it has clear deadlines, repeatable steps, many documents, and measurable service impact.
Proof points
- Built for document-heavy workflows with deadline pressure.
- Designed around AMS, email, carrier portals, and shared document stores.
- Useful when client service quality depends on too many manual reminders.
Related pages
Ready?