Insurance workflows
Generative AI for Insurance
Build language-model features for document search, drafting, and data extraction, using examples and review criteria from your team.
Tell us about your project
Share the task and the systems involved.
Services
Generative AI for Insurance teams
We scope generative ai around the workflows, data access, and review requirements of your insurance team.
Drafting and generation
Create drafts from a brief, templates, and approved source material, ready for a person to review.
Document extraction
Extract fields from documents and check the results against the source.
Model evaluation
Compare prompts and models against representative tasks before changing a production workflow.
Why Choose RejoiceHub
How we work with your team
Scope first
We agree the problem, deliverables, dependencies, and estimate before the build starts.
Review working software
Time-boxed diagnostics and fixed-scope sprints give your team work to review before a larger implementation.
Plan the handover
We define documentation, deployment responsibilities, and support requirements as part of the scope.
Key Benefits
What to agree before the build
Scope, responsibilities, and the requirements for running the system.
A defined task
Set a specific goal for generative ai and agree how the team will evaluate it.Visible handoffs
Define who reviews the work, approves changes, and handles exceptions.A plan for operation
Include monitoring, documentation, and support in the implementation plan.
OUR PROCESS
From scope to launch
Five stages, with requirements and review agreed before delivery.
Discover
Map the current workflow, users, systems, and constraints.
Design
Agree the data flow, user journeys, permissions, and acceptance criteria.
Build
Implement the agreed scope in increments the team can review.
Test
Check the main tasks, failures, access controls, and agreed performance requirements.
Launch
Prepare deployment, monitoring, documentation, and support responsibilities.
Applications
Insurance workflows to discuss
Examples to consider when scoping generative ai. The final requirements depend on your organization.
Claims administration
Document intake, information extraction, and staff review.
Policy support
Policy-document search and customer-request routing.
Controls
Review steps for claims and coverage decisions.
TECHNOLOGY STACK
Built on Industry Leading AI & Insurance Tech
We use the best tools available and connect to your existing systems through standard APIs, without requiring a rebuild.
- OpenAILLM
- AnthropicLLM
- Google DeepmindLLM
- Meta (LLaMA)LLM
- Mistral AILLM
- CohereLLM
Frequently Asked Questions
Questions about the engagement
Planning, integration, and support for generative ai for insurance.
Share the task, the systems involved, and what you need to change. We review the requirements and agree the scope of a diagnostic or first sprint.
We review the interfaces, data access, and permissions your systems provide. Integration work and any required changes are included in the scope.
They depend on the features, integrations, data, and review requirements. We provide an estimate for the agreed scope before work starts.
We define access permissions and review steps with your team. Requirements for sensitive data, hosting, and retention are part of the project scope.
We agree who operates the system, what documentation is needed, and the support and maintenance arrangements before handover.
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INTERNAL LINKS
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