# Case Study: Insurance Exchange of America
#### 
**Insurance Exchange of America (IEA) builds an AI-powered “Agentic Workforce” with raia.**
***
**Snapshot**
| | Before raia | After raia |
| ------------------------ | ------------------------------------------ | -------------------------------------------------------------------------------------------------------- |
| Lead & quote responses | Manual, ad-hoc | **AI Sales Agent** handles 24/7 SMS & email, 10 k+ monthly dialogs |
| Renewal outreach | Carried out by staff in batches | **AI Renewal Agent** sends personalised reminders the moment a policy hits the 90-, 60- or 30-day window |
| Policy-compliance audits | 40 hrs per carrier pack | **AI Compliance Analyst** completes same audit in **<4 hrs (-90 %)** |
| Operational capacity | Team of 10 could not keep pace with growth | AI Agents now do the work of **10 FTEs** & scale elastically |
> “raia has enabled us to do things at scale we could never do before, and my team absolutely loves seeing AI execute work that was tedious—or impossible—by hand.”\
> **Brian Reilly, CEO, Insurance Exchange of America**
***
#### 1. Company & Challenge
Insurance Exchange of America (IEA) services **100,000+ policyholders** and brokers products from Geico, Progressive and 150+ regional providers.\
With lead volume rising and every carrier imposing unique compliance rules, IEA’s staff confronted three bottlenecks:
1. **Lead Response Lag** – Prospects shopping for quotes after hours rarely received answers until the next business day.
2. **Renewal Churn** – Reminders were sent in monthly batches, leaving gaps where policies lapsed.
3. **Manual Compliance Audits** – Each carrier’s policy wording had to be compared line-by-line against IEA’s issued certificates.
The team needed a solution that would **talk to customers on every channel, master each carrier’s rules, and free humans for high-value advisory work**—without a year-long IT project.
***
#### 2. Why raia
IEA chose **raia Launch Pad** for its no-code wizard that spins up production-ready AI Agents (chat, SMS, email, voice) in minutes and **raia Copilot** for the built-in human-feedback loop and live take-over capability .
Key platform advantages:
* **Multi-channel skills out of the box** – chat widget, SMS, email and webhooks are a toggle-on skill, not a custom build.
* **Industry-grade compliance & audit trail** (SOC 2, conversation logging).
* **Rapid training with Packs & Vector Store** – carrier manuals and policy templates drag-and-drop into the knowledge base; no data-science team required.
***
#### 3. Solution Design
| AI Agent | Primary Role | Data / Skills Connected |
| ---------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------ |
| **Sales & Quote Agent** | Engages new leads within 30 seconds via SMS & email, asks three qualifying questions, fetches real-time rates from carrier APIs, delivers side-by-side quote. | Skills: SMS, Email, API; Pack: *Carrier-Quote Rules* |
| **Renewal Concierge Agent** | Monitors policy-expiry field in CRM, sends personalised reminder cadence (90/60/30 days), answers coverage questions, routes “speak to human” to licensed rep. | Skills: Email, Chat, Calendar webhook; Pack: *Policy Terms & FAQs* |
| **Compliance Analyst Agent** | Reads carrier agreements, cross-checks issued policy endorsements, flags discrepancies, generates audit report for regulator. | Skills: File Sync, Doc-parser; Pack: *Carrier Compliance Library* |
AI Agents required workflow to integrate with Salesforce and other 3rd Party Applications
All three agents were created in **under three weeks**:
1. **Define role & instructions** in Launch Pad wizard.
2. **Upload carriers’ underwriting guides & policy templates** as Markdown/ PDFs; vectorised automatically.
3. **Connect CRM and rating engine via webhook**; test in Copilot, iterate with thumbs-up/down feedback.
Each Agent included fine-tuned Instructions and Training to ensure it can answer questions about each insurance provider.
***
#### 4. Measurable Impact
| KPI | Result (6 months post-launch) |
| --------------------------- | -------------------------------------------------------------------------------------------------------------- |
| Conversations handled by AI | **≈ 10,000 / month** (SMS 67 %, Email 28 %, Chat 5 %) |
| Lead-to-quote response time | Cut from 12 hrs avg. → **<2 min** |
| Renewal completion rate | **+18 pp** uplift versus prior year |
| Carrier audit cycle time | **-90 %** (40 hrs → 4 hrs) |
| Human workload | AI covers routine tasks equal to **10 full-time employees**, enabling staff redeployment to consultative sales |
***
#### 5. Lessons for Prospective Clients
* **Start with one high-volume workflow.** IEA launched a single Sales Agent first; success built internal momentum for Renewal and Compliance agents.
* **Leverage Packs for repeatability.** Once a “Carrier Rules” Pack was created, it could be reused across multiple agents—accelerating rollout.
* **Human-in-the-Loop drives trust.** Supervisors used Copilot to watch early conversations and fine-tune tone, speeding acceptance by licensed reps.
* **Focus on business metrics, not model specs.** Tracking response time, audit hours, and renewal rates kept the project aligned with revenue and cost outcomes.
***
#### 6. What’s Next
IEA plans to extend its agentic workforce to:
* **Cross-sell & upsell** ancillary products based on policy data.
* **Real-time claims triage** that educates customers on first-steps and routes complex cases to adjusters.
* **Multi-agent orchestration** so Sales, Support and Compliance agents can collaborate on the same customer thread.
***
#### 7. Key Takeaway
IEA’s experience shows that **raia turns AI from a buzzword into a practical workforce multiplier**: rapid to deploy, easy to govern, and demonstrably ROI-positive within a single quarter.
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