Insurance Intelligence Platform for Brokers.
Broker-built intelligence to prioritize renewals, surface growth opportunities, and streamline workflows with human review.
- Renewal prioritization See which renewals may need attention first.
- Growth opportunity signals Surface potential opportunities for account-team review.
- Embedded broker workflows Turn signals into clear, reviewable next actions.
- Human-reviewed decisions Keep professional judgment and accountability visible.
What is an insurance intelligence platform?
An insurance intelligence platform uses permissioned brokerage data to rank renewals, spot growth, and cut admin. Alkeme AI adds a signal to tasks with a clear next step. Teams then check facts, add client context, and make the final call.
Responsible AI requires clear controls
During evaluation, confirm data sources, access requirements, data use, access controls, auditability, supported workflows, and known limits. Recommendations require professional review before action.
- Insurance workflow context Unlike generic automation software, the platform is shaped around renewal, retention, growth, and service work.
- Permissioned data Supported sources, access requirements, and intended use are confirmed for each organization.
- Reviewable actions Each signal should explain why it was surfaced, what to review, and which next action can follow.
- People remain accountable AI informs the work. Producers, account managers, and service teams make the decisions.
Core brokerage workflows Alkeme AI supports
A workflow is useful only when its signal, required review, next action, and measure are explicit.
- Renewal prioritization. Signal: an account may need attention. Required review: policy, timing, and client context. Next action: plan outreach. Measure: retention against a defined baseline and time frame.
- Growth and cross-sell review. Signal: a potential account opportunity. Required review: coverage, client needs, and suitability. Next action: decide whether outreach is appropriate. Measure: qualified opportunities and verified growth.
- Workflow follow-through. Signal: repeatable manual work or queued follow-up. Required review: data quality and workflow fit. Next action: streamline or route the task. Measure: verified workflow time, throughput, or capacity.
- Human-reviewed decisions. Signal: an item with a stated reason. Required review: facts and client context. Next action: decide whether and how to act. Measure: workflow completion and outcomes using defined criteria.
How broker-built intelligence turns data into action
Start with permissioned data, add insurance context, show a reviewable next action, and keep the final decision with insurance professionals.
- Start with permissioned data Begin with brokerage data authorized for the evaluated use case. Confirm supported sources, access requirements, and data quality before deployment.
- Permissioned scope
- Data readiness
- Identify insurance-specific signals Apply insurance context to find renewals, growth opportunities, or workflow items that may require attention. A flag is a prompt to review, not a decision.
- Renewal signals
- Growth signals
- Provide a clear next action Each item should state why it was surfaced, what information to check, and which action can follow. Avoid unexplained outputs that cannot be reviewed.
- Reason for flag
- Review path
- Keep professionals in control Producers, account managers, and service teams add client context, apply professional judgment, and decide whether to act. The workflow and outcome can then be measured.
- Client context
- Final decision
Evaluate fit, controls, and value for your team
The best AI platform for a brokerage is the one that fits real insurance work, data readiness, human controls, explainability, and a credible measurement plan.
- Insurance workflow fit Test the platform against real renewal, growth, and service work.
- Value for account teams Look for clearer daily priorities and more capacity for client service.
- Value for owners and leaders Connect each use case to retention, capacity, growth, or agency value.
- Data readiness Confirm sources, permissions, access needs, and data quality.
- Human controls and explainability Make every signal understandable and every decision reviewable.
- Measurement discipline Set the baseline before reporting retention, growth, time, or productivity.
Frequently asked questions
Direct answers about Alkeme AI, brokerage workflows, permissioned data, human review, and measurement.
Platform and workflows
What is an insurance intelligence platform?
What does Alkeme AI help insurance brokers do?
How can Alkeme AI help improve retention?
How does Alkeme AI identify growth opportunities?
Data, judgment, and measurement
Does Alkeme AI replace agents or professional judgment?
What data does Alkeme AI use?
How should an organization measure results from insurance AI?
Who is Alkeme AI designed for?
Evaluate Alkeme AI in your workflows
Request a demonstration focused on your renewal, growth, workflow, data, and human-review requirements.