Transform fragmented policyholder data into intelligent automation. Connecty AI unifies your core systems, CRM, claims data, and third-party sources—then powers AI-driven decisions tailored to your insurance operations.
Trusted by innovative insurance carriers and MGAs worldwide
Insurance companies struggle with fragmented data across policy admin, claims systems, and customer touchpoints
Policy data, claims history, and customer interactions live in separate systems, making it impossible to get a complete view of each policyholder
Underwriters and claims adjusters spend hours manually gathering data and making decisions that could be automated with AI
Without unified data and intelligent automation, risk assessment and claims decisions vary widely across teams and regions
Customers expect instant quotes, fast claims processing, and personalized service—but fragmented systems make this impossible to deliver
From fragmented data to intelligent automation in three powerful steps
Seamlessly integrate all your insurance systems in minutes—no complex IT projects required.
Our Autonomous Semantic Graph stitches your business context and data together, creating an intelligent network that stores and learns your insurance business logic.
Deploy intelligent automation based on your custom insurance context and business rules.
Unlike traditional data integration tools, Connecty doesn't just connect systems—it builds a living, intelligent graph that understands your insurance business. The ASG continuously learns from your underwriting decisions, claims patterns, and business rules, creating a unified intelligence layer that powers smarter automation.
Transform recurring decisions that require deep analysis into intelligent, instant automation
Every quote requires analyzing dozens of factors—applicant history, similar risk profiles, market rates, loss ratios, and regulatory requirements. Connecty instantly synthesizes this complexity into optimal pricing decisions.
Should this claim be approved? What's the right settlement amount? Which adjuster should handle it? These daily decisions require cross-referencing policy terms, precedents, fraud indicators, and resource availability.
Detecting fraud requires comparing each claim against historical patterns, applicant behavior, provider networks, and industry fraud rings. Manual review catches only obvious cases—AI catches sophisticated schemes.
Should you renew this policy? At what rate? Each renewal requires evaluating claims history, payment patterns, market conditions, competitive landscape, and customer lifetime value to make profitable retention decisions.
When an applicant falls outside standard guidelines, underwriters must research comparable cases, assess unique risk factors, consult multiple data sources, and determine if an exception is justified—a process that can take hours per case.
Setting accurate reserves requires predicting claim severity by analyzing injury types, treatment costs, legal precedents, jurisdiction, and historical outcomes. Inaccurate reserves impact financial reporting and capital allocation.
Deciding which policies to cede to reinsurers involves analyzing portfolio concentration, catastrophe exposure, treaty terms, and retention strategies. These complex calculations happen continuously as new policies are written.
When policyholders call, agents must quickly assess their history, open claims, payment status, coverage questions, and sentiment to prioritize responses and route to specialists—all while the customer is on hold.
Daily monitoring requires analyzing loss patterns by geography, product line, distribution channel, and time period to identify deteriorating segments before they become unprofitable. Manual analysis misses early warning signs.
Purpose-built for the unique challenges of modern insurance operations
Go live in weeks, not months. Our pre-built connectors for major insurance platforms mean you can start seeing results immediately.
SOC 2 Type II compliant with encryption at rest and in transit. Your sensitive policyholder data stays protected at all times.
Train our AI on your specific underwriting guidelines, claims processes, and business rules for decisions that match your expertise.
Our customers see an average 45% reduction in operational costs and 70% improvement in processing speed within the first quarter.
See how Connecty AI can automate underwriting, claims processing, and customer service with AI that understands your unique insurance context.
