What Are the Key Differences Between Alliance Risk and Markel Insurance Tech E&O Insurance?
Limit Examples and Technology Classes
Alliance Risk describes typical Tech E&O limits from $250,000/$500,000 for a freelancer to $2 million/$3 million or more for a SaaS company with many users, and cites a $2,500 standard deductible for small firms. Markel lists IT and technology-service businesses, including software/SaaS, hardware, and consultants, but gives no comparable figures in its record. A technology buyer can use Alliance's examples to frame requested limits and then ask Markel which limit and deductible are available for its specific class. [2] [5]
Technology Risk and Coverage Detail
Alliance Risk lists failures to deliver, errors in deliverables including factually wrong or biased AI outputs, unmet specifications, unintentional IP infringement, product failure, and data loss caused by a company's own mistakes; it separates cyberattacks and bodily injury or property damage. Markel describes professional liability for technology services such as software, hardware, and consulting but does not enumerate comparable scenarios in its offering record. Ask both to address customer contracts, AI output, and cyber overlap in the proposed wording. [2] [5]
Quote Preparation and Policy Review
Alliance Risk asks for revenue, employees, major client contracts and indemnities, current E&O and cyber policies, claims history, and client concentration; it offers a no-charge review of an existing Tech E&O policy. Markel invites buyers or brokers to contact its underwriting team but does not specify equivalent intake details. Having your contracts and current policy ready can help clarify what Markel needs to evaluate against Alliance Risk's review process. [2] [5]
What Should You Confirm in Alliance Risk and Markel Insurance Tech E&O Insurance Quotes?
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Ask Alliance Risk which limit and deductible fit your revenue, user base, contract indemnities, and existing retroactive date. [2]
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Ask Markel whether its technology E&O form addresses AI output errors, unmet specifications, and cyber-related losses, and what intake documents underwriting requires. [5]
