Jason Patel
Jason designs and implements technical solutions for AgentTech customers. His articles cover platform architecture, AI agent deployments, API integrations, speech analytics, and the technology stack that powers modern insurance call centers.
Articles by Jason Patel
Browser-Based vs Desktop-Installed Dialers: An Insurance Agency IT Buyer's Guide
Outcome and decision-criteria framing for agency IT buyers — provisioning cost, OS support, VPN, helpdesk overhead, BYOD blockers — when to insist on browser-based.
Read the articleWhy Your Insurance Agency Doesn't Need Snowflake: AgentTech as Your System of Record
Small and mid-sized agencies running dialer, CRM, recordings, dispositions, and reporting in AgentTech already have a unified data layer. Adding Snowflake on top usually duplicates spend.
Read the articleDialer Pacing Math for Insurance Agencies: How Many Lines Per Agent
Pacing math across preview, power, and predictive — and why agency-level economics often favor more conservative pacing than vendors recommend.
Read the articleBecoming a Vetted AgentTech Publisher: Compliance, Performance, and How Your Campaigns Get In Front of Agencies
A guide for insurance lead publishers: how AgentTech's independent vetting works, what the performance and compliance bar looks like, and how Marketplace distribution compares to cold-pitching individual agencies.
Read the articleAI Agents for Claims FNOL Intake: What to Automate + How to Handoff
A workflow blueprint for FNOL automation: structured intake, triage, summaries, escalation rules, and QA for claims operations.
Read the articleOmnichannel Communication: Reaching Medicare Beneficiaries Where They Are
How to coordinate phone, SMS, and email outreach for a consistent beneficiary experience and higher contact rates.
Read the articleHow Small Insurance Agencies Compete with Large Carriers Using Technology
How agencies with 5-20 agents use AI, automation, and smart routing to punch above their weight.
Read the articleSkills-Based Routing for Insurance: Match Every Caller to the Right Agent
How skills-based routing uses agent certifications, language abilities, and product expertise to connect callers with the most qualified agent.
Read the articleAI for Insurance Claims Call Centers: FNOL Workflows + Best Practices
How AI improves insurance claims call centers and FNOL intake: structured notes, summaries, routing, handoffs, and better follow-up across claims journeys.
Read the articleCall Center vs Contact Center in Insurance (AI): Definitions + Decision Guide
Insurance teams use "call center" and "contact center" differently. Learn the real difference, what to buy, and how AI changes routing, QA, and compliance workflows.
Read the articleThe AI-Ready Insurance Call Center Stack (2026): Architecture + Tooling
A practical blueprint for an AI-ready insurance call center stack in 2026: telephony, routing, CRM, QA/compliance, analytics, and integrations.
Read the articleWhy Your Insurance CRM and Dialer Should Be the Same Platform
The hidden costs of running a separate CRM and dialer, and how an integrated platform eliminates data silos.
Read the articleAuto Dialer vs Power Dialer vs Predictive Dialer: Which is Right for Insurance?
Detailed comparison of auto, power, and predictive dialers for insurance. Pros, cons, compliance, and which is best for your agency.
Read the articleNumber Pooling & Click Attribution: Track Every Call to Its Source
Learn how Dynamic Number Insertion connects phone calls to their exact marketing source.
Read the articleAI Mock Calls: Train Insurance Agents at $0.15/Min vs $30/Hr
Practice sales scenarios with AI at just $0.15/minute.
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