Sellence vs. Bevaya

Sellence is an artificial intelligence sales engagement platform developed to help insurance, lending, and fintech businesses convert prospects who abandon or delay completing financial transactions. The platform focuses on customers who begin insurance quotes, loan applications, account registrations, or renewal processes but do not complete the required steps. Its AI persuasion model automates personalized follow-up through text messaging and phone calls using the organization's brand identity. Sellence can maintain contact with individual prospects over several weeks rather than limiting outreach to a single reminder or short communication sequence. The system preserves customer responses and previous interactions within a continuous conversation thread to provide context for subsequent messages. Its conversational capabilities are designed to address common purchasing objections involving product pricing, transaction timing, and comparisons with competing providers. The platform supports configurable communication policies that allow businesses to define consent requirements, permitted contact hours, and approved messaging language. Automated outreach operates within these established rules to help organizations maintain control over customer communications. Sellence maintains an audit trail of interactions, supporting review of automated conversations and adherence to internal communication policies. In a reported 90-day controlled A/B test, Libra Insurance achieved three times the sales per agent, while Leveraged reported a 38% increase in funded accounts from abandoned signups. Sellence enables financial services sales teams to automate customer reengagement, reduce manual follow-up workloads, and pursue additional conversions from existing leads and incomplete transactions.

Bevaya is an insurance-focused AI agent platform designed to automate document-heavy workflows across underwriting, claims, and policy servicing. The system sits on top of existing insurance software and uses specialized agents to interpret documents, extract data, analyze information, recommend actions, and push results into operational systems. Underwriting capabilities include submission intake, loss run processing, policy comparisons, and automated extraction from ACORD forms, supplemental applications, and other submission documents. Claims capabilities include FNOL and FROI setup, claim indexing, document routing, summaries, and preparation of materials such as legal demands and medical bills for adjusters. Policy servicing workflows can automate certificate of insurance generation, endorsements, premium audits, policy verification, and other recurring service requests. Bevaya also provides document intelligence for classifying and structuring unstructured insurance content before it moves into downstream workflows. Its AI is powered by InsurGPT, which the company says has been trained on more than 300 million insurance documents and deployed across more than 120 production workflows. Human-in-the-loop controls allow insurance teams to review decisions, exceptions, and recommendations before sensitive actions are finalized. Grounded explainability and responsible AI features are designed to help organizations understand how outputs were produced and maintain governance over automated processes. Workflow Canvas, integrations, implementation services, and an AI agent library help teams configure and deploy use cases without replacing their existing core platforms. Bevaya is designed for insurers, brokers, and TPAs that want to use AI agents to reduce manual work, increase processing speed, improve consistency, and modernize insurance operations.