Jointly AI Unveils Autonomous Brokerage for UK Insurance
Jointly AI has introduced an autonomous brokerage platform aimed at UK personal lines brokers. Branded Jointly AI Broker, the system moves beyond conversational assistants to automate end-to-end brokerage tasks, from customer intake to policy recommendation. The platform targets brokers seeking faster quote turnaround, lower manual workload and strong auditability in a regulated market.
How the AI Platform Works
At the core is a multi-agent architecture driven by large language models and voice AI. Five specialised agents handle discrete steps: intake, research, quoting, analysis and delivery. An orchestration layer coordinates these agents and manages task sequencing, retries and confidence scoring.
Voice AI can contact insurers directly and access insurer systems to request and retrieve quotes. The research and quoting agents compare offers across panels, while the analysis agent ranks options and generates a tailored recommendation. The delivery agent formats the outcome for brokers and customers, providing an auditable record of decisions.
Benefits and Regulatory Compliance
Brokers can expect significant time savings, with reported reductions in processing time of roughly 35 to 45 minutes per case. The platform reduces repetitive manual work, accelerates customer recommendations and supports higher throughput without larger teams.
Regulatory safeguards are built in. The platform produces confidence scores for each result, triggers automated re-attempts when confidence is low and captures real-time logs for oversight and audits. These features are designed to align with FCA expectations for transparency and record keeping. CEO Alberto Romero highlights that the system is purpose-built to handle insurance complexity and regulator requirements rather than offering generic chat functionality.
The Future of Insurance Brokerage
Jointly AI Broker signals a shift from simple AI assistants toward full-system automation in insurance operations. For UK personal lines brokers, the platform offers a model for combining voice AI, LLM-driven agents and strict auditing to deliver faster, more consistent outcomes while preserving regulatory controls. The wider industry will be watching whether this model scales across product lines and markets.
