Insurance brokers, financial advisors, mortgage brokers, and financial services firms manage hundreds of client inquiries, renewal reminders, document requests, and follow-ups every month. Your AI Employee handles the predictable ones — so your team focuses on advice and relationships, not inbox management.
"Renewal season is a disaster. We have 400 policies renewing in Q4. My team physically cannot call every client in time. We lose 15–20% of our book every year at renewal."
Insurance Broker Commercial Lines · 6 staff"Clients call asking for their certificate of insurance constantly. It's a 30-second task but it interrupts everything. My assistant handles 20 of these a week."
Broker Owner Business Insurance · 4 staff"We have clients we haven't spoken to in two years. They're still with us, but we don't know if they're happy or if they're shopping. We just never had time to check."
Financial Advisor Independent Practice · 3 staff"Claims follow-up is where we lose clients. They file a claim, we submit it, and then they don't hear anything for two weeks. They assume we're not working on it."
Broker Personal Lines · 8 staffReads inbound quote requests and coverage questions, collects required information, answers standard coverage questions, and routes complete submissions to the right advisor or underwriter. Most coverage inquiries require the same five to ten pieces of information before anyone can actually quote — and collecting that information manually is where time goes. The AI Employee asks the right qualifying questions, confirms the information is complete, answers standard questions about coverage types and limits, and delivers a clean submission to your team ready to quote.
Retrieves and sends policy documents, certificates of insurance, endorsements, declarations pages, and compliance documents on demand — instantly, any time. One of the highest-volume, lowest-value tasks in insurance is document retrieval. A client needs their COI for a vendor. A mortgage company needs the declarations page. A GC needs a certificate holder added. The AI Employee pulls the right version, handles standard certificate holder requests, and sends it professionally — with every transaction logged per client file.
Monitors your book of business for upcoming renewals and sends personalized outreach at configured intervals before expiry — 90 days, 60 days, 30 days. Retention is driven by proactive communication, not reactive scrambling. The AI Employee works through your entire book — not just the top accounts or the ones your team remembers — and sends a timely, personalized message that references the specific policy, renewal date, and any relevant changes from the prior year. Clients feel managed; your team handles the actual renewal conversations.
Provides clients with professional status updates on in-progress claims by pulling from your claims management system or tracking log. Claims are when clients are most stressed and most likely to feel abandoned. The AI Employee sends proactive updates at key milestones — submission confirmed, adjuster assigned, assessment complete — and answers "what's happening with my claim" inquiries with accurate, current information. Your broker handles the calls that require judgment; the AI Employee handles the status communication that clients need but your team doesn't have time to send consistently.
Monitors your book for clients who haven't been contacted in X days and sends personalized check-ins, cross-sell prompts, and life event follow-ups. A financial advisor or broker with 300 clients can't personally stay in touch with all of them — so typically only the top 20% get regular contact and the rest go quiet until they leave. The AI Employee works through the entire book, sends meaningful outreach based on client type, coverage profile, and last contact date, and flags the clients who respond with something that needs a real conversation.
Handles regulatory document requests, sends required disclosures, consent forms, and compliance materials, with full audit logging. Financial services firms operate under layered compliance requirements — required disclosures, consent to contact forms, KYC documents, privacy notices. The AI Employee manages the delivery of these documents on trigger or request, logs every send with timestamp and recipient, and maintains the audit trail your compliance records require. It also flags documents that are missing from a client file before regulators ask.
We spend 30–60 minutes mapping your highest-volume repetitive workflows — what comes in, what your team does with it, and what the right output looks like. For finance and insurance firms, this usually means walking through your renewal outreach process, your document request handling, and how claims status currently gets communicated to clients. We identify exactly which workflows the AI Employee will take over and which ones stay with your team.
We build the AI Employee and connect it to your AMS, CRM, document management system, and claims tracking platform. We work with Applied Epic, Hawksoft, QQCatalyst, Vertafore, and custom setups — and build the integration as part of the project. All data remains in your environment. Nothing is used to train external AI models. We sign NDAs and DPAs as standard practice.
Every AI Employee we build starts with human approval on every output. Your broker or advisor sees the draft, approves or edits it, and it sends. Once you've reviewed enough outputs to trust a specific workflow — standard COI sends, renewal reminders — you can authorize autonomous sending for that flow. For compliance-sensitive communications, the approval layer stays in place permanently. You control what's automated and what stays in the queue.
We don't hand you software and walk away. We manage the AI Employee on an ongoing basis — monitoring output quality, catching edge cases, updating integrations when your AMS changes, and tuning the logic as your book grows. Your team uses it; we maintain it. When regulators update disclosure requirements, we update the AI Employee.
Yes. We integrate with Applied Epic, Hawksoft, QQCatalyst, Vertafore, and other major AMS platforms via API or structured export. We assess your system during discovery and build the integration as part of the project. You don't need to change platforms or migrate data — we work with the specific data the AI Employee needs and nothing else.
All data stays within your environment. We sign NDAs and DPAs. Nothing is used to train external AI models. The AI Employee accesses only the specific data it needs for each workflow — not your full client database. For financial services firms operating under PIPEDA, GDPR, or state-level privacy regulations, this architecture is designed to support your compliance obligations — not create new ones.
Yes. E&O documentation, required disclosures, and compliance file management are among the document workflows we build for financial services firms. Every send is logged with timestamp and recipient for your compliance records. If your E&O carrier or regulator asks for evidence that a disclosure was delivered on a specific date, the AI Employee's audit log provides that record.
It escalates to your team. The AI Employee handles the predictable, rules-based portion of client communication. Anything that requires judgment, advice, or information outside its configured scope gets flagged and routed to the right person — with the full context of the conversation. In financial services, the boundary between administrative communication and regulated advice matters. We build the AI Employee to stay clearly on the administrative side of that line.