Claims Fast Track
Case orchestration, structured data extraction, and decision support with versioned rules and AI, connected to claims operations.
View solution →Software factory · AI engineering · Insurance
Applied AI for insurers and brokers, built for production operations
We design and implement enterprise automation across claims, underwriting, and customer service—integrated with your existing systems, with traceability and controls for insurance organizations in Latin America.
Product demo: Request a demo
- Claims, underwriting, and customer operations
- Integration with core and satellite systems
- Enterprise delivery with traceability
- Governance: rules, roles, and audit trails
- Commercial team in Argentina and Venezuela
Operating context
Where we create impact
- Claims operations with fragmented files and repetitive document validation
- Underwriting with manual checks and inconsistent criteria across teams or channels
- Customer operations with demand spikes and high-volume transactional inquiries
- Stable integrations across digital channels, CRM, document repositories, and core platforms
Portfolio
Solutions
AI Underwriting Engine
Assisted checks, consistent risk evaluation, and structured inputs for underwriting—with internal policy guardrails and auditable traces.
View solution →AI Customer Agent
A customer agent grounded in institutional knowledge, policy-bounded actions, and controlled escalation to human teams when required.
View solution →Differentiation
Why Femto
Insurance specialization
We work in the language of insurers and brokers: claims, underwriting, policies, channels, and policyholder service.
Integration without replacing the core
We connect via APIs, events, and services to policy admin, CRM, and the systems of record you define.
Enterprise posture
Roles, permissions, traceability, and operational controls are part of the design from day one.
Bounded, measurable pilots
Scope, deliverables, and indicators are agreed in writing before production rollout.
Process, software, and AI together
Workflow design, backend engineering, and models aligned so AI stays coupled to real operations.
Methodology
How we work with you
- 1
Diagnostic
Business objectives, systems map, integration risks, initial scope, and accountable owners on both sides.
- 2
Discovery
Flows, master data, controls, and SLAs; pilot success criteria and a signed work plan.
- 3
Integration
API contracts, identities, environments (development, test, production), and observability aligned with IT.
- 4
Pilot
Bounded-volume rollout, quality dashboard, and decisions to expand or adjust based on operational data.
- 5
Scale
Broader use cases, operational hardening, and knowledge transfer for internal or hybrid sustainment.
Operations
Collaboration model
- Joint teams with Femto technical leadership and business sponsors on the customer side
- Decision logs and traces for operational and compliance audit
- Segregated environments according to the customer deployment policy
- Explicit risk review before automating actions with financial impact
Compliance
Security and governance
- Sensitive data classification and PII minimization in prompts, logs, and intermediate storage
- Role-based access and least privilege across APIs and administrative consoles
- Separation between versioned business rules, models, and action execution
- Data retention and deletion aligned to the customer corporate policy
Infrastructure
Deployment
- Customer public cloud, dedicated infrastructure, or hybrid architecture based on data policy and connectivity
- Execution in VPC or network segments defined by the customer security team
- Topology and responsibilities documented jointly with customer IT and infrastructure
Commercial transparency
References, metrics, and materials
References
We share sector experience in commercial meetings. Publishing customer names or logos requires prior written authorization and compliance approval when applicable.
Pilot metrics
Pilot indicators (cycle time, throughput, classification quality, and others) are defined with a baseline and reported in the format agreed with the customer.
Technology ecosystem
We integrate with your stack: cloud, identity provider, queues, databases, and model APIs your organization is contractually authorized to use.
Buyer materials
Architecture and governance summary, solution overview, and security questionnaire responses are provided upon formal request to contact@femtosf.com.
Stakeholders
Typical stakeholders
Operations and technology leadership, claims and underwriting management, customer experience, and architecture or integration teams at insurers and brokers.
Frequently asked questions
FAQ
Do you replace our core or policy admin?
No. We integrate with current systems via APIs, events, and services. The customer’s core remains the system of record unless explicitly agreed otherwise.
How is AI governed in production?
Explicit rules, human review thresholds where required, versioning for policies and prompts, and logging of relevant inputs and outputs for audit.
Where do models and data run?
On infrastructure defined by the customer: insurer-contracted cloud, dedicated environments, or hybrid models, respecting residency and data classification.
What is required to start a pilot?
A bounded use case, designated process and IT owners, access to test or masked production data per internal policy, and measurable success criteria agreed in writing.
Platform
Technology
- Large language models and retrieval-augmented generation when the use case warrants it
- REST or gRPC APIs, message queues, and microservices for ecosystem coupling
- Observability: structured logs, metrics, and traces aligned to operations and support
- Encryption in transit, secret management, and access controls agreed with the customer
Next step
We schedule a diagnostic session with your business and IT teams to align scope, integrations, and timeline. A product demo is scheduled in the same sequence or as a follow-up meeting.
Contact
Write to contact@femtosf.com or use the form below. Our commercial team responds with a meeting proposal and, when appropriate, initial documentation upon request.