Shift Technology AI Claims Automation API
Shift Technology AI-powered insurance claims automation and fraud detection REST API for P&C insurance carriers to automate claims triage, fraud detection, and straight-through processing. Enables AI agents to manage AI-driven claim fraud detection and anomaly scoring for claim investigation prioritization automation, handle straight-through processing eligibility scoring for automated low-complexity claim settlement, access subrogation opportunity detection for automated recovery identification, retrieve claims document AI analysis and data extraction for automated claims intake, manage medical review AI analysis for bodily injury and workers compensation claim triage, handle reinsurance bordereau analysis for automated reinsurance reporting, access claims leakage detection for reserve adequacy and payment accuracy automation, retrieve social media and public records fraud indicator analysis for claims investigation automation, manage underwriting integrity check for policy misrepresentation detection, and integrate Shift Technology with Guidewire, Duck Creek, Majesco, and carrier claim systems for embedded AI claims decision support.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Insurance AI platform. SOC2, GDPR, ISO27001. OAuth2. US/EU. Claim data, fraud indicators, and AI decision records.
⚡ Reliability
Best When
A P&C insurance carrier, reinsurer, or MGA wanting AI agents to automate fraud detection scoring, straight-through processing triage, subrogation identification, and claims leakage detection within existing carrier claim systems via Shift Technology's embedded AI API.
Avoid When
AI FRAUD SCORE ADVERSE ACTION DISCLOSURE: Automated claim denial or investigation triggering based solely on Shift Technology AI fraud score creates state insurance regulatory adverse action exposure; most state regulations require adverse action disclosure and human adjuster review before claim denial; automated claim denial based on AI fraud score without adjuster review creates unfair claims practices violation. FAIR LENDING AND ANTI-DISCRIMINATION FOR AI CLAIMS SCORING: Shift Technology AI models must be tested for disparate impact on protected class characteristics in claims scoring; automated claim triage using AI scores without disparate impact analysis creates state insurance regulatory exposure for discriminatory claims handling. MODEL DRIFT MONITORING FOR FRAUD PATTERN EVOLUTION: Shift Technology fraud detection models trained on historical claim patterns may miss novel fraud schemes; automated fraud triage without model performance monitoring creates false negative fraud detection gap as fraud patterns evolve; implement model performance KPI monitoring and periodic retraining validation.
Use Cases
- • Scoring claim fraud from AI investigation triage agents
- • Identifying subrogation from recovery automation agents
- • Triaging claims from straight-through processing agents
- • Detecting leakage from reserve accuracy agents
Not For
- • Claims adjudication and coverage determination (use TPA or carrier system)
- • Policy administration and underwriting
- • Insurance distribution and agency management
Interface
Authentication
Shift Technology uses OAuth 2.0 with scopes. REST API with JSON. Paris, France HQ with US offices. Founded 2014 by Jeremy Jawish. Private ($320M raised, Bessemer Venture Partners, Accel, Iris Capital). AI-powered insurance claims fraud detection and automation. 100+ carrier clients globally. Processes 1B+ claim events annually. Products: Force (fraud detection), Decisions (STP), Recover (subrogation). Integrates with Guidewire Claims Center, Duck Creek Claims, Majesco Claims. Competes with Friss, FRISS, EagleView, and carrier-developed ML for claims AI.
Pricing
Paris FR / US offices. Private ($320M raised). Founded 2014. 100+ carrier clients. Annual subscription per product module and claim volume. Carrier implementation engagement.
Agent Metadata
Known Gotchas
- ⚠ AI FRAUD SCORE HUMAN REVIEW GATE FOR ADVERSE ACTION: Shift Technology fraud scores are decision support tools, not autonomous denial decisions; automated claim denial or litigation referral triggered solely on AI score without licensed adjuster review creates state unfair claims practices violation; build mandatory human review gate for adverse claim actions based on Shift scores
- ⚠ PRODUCT API SURFACE SEGMENTATION: Shift Technology has distinct API products (Force for fraud, Decisions for STP, Recover for subrogation); each product has separate API endpoints and authentication scopes; automated workflows integrating multiple Shift products require product-specific API configuration; do not assume single unified API for all Shift Technology functionality
- ⚠ MODEL VERSION ALIGNMENT FOR CARRIER-SPECIFIC TRAINING: Shift Technology fraud models are trained on carrier-specific historical claim data; automated fraud scoring must use carrier-scoped model version; cross-carrier model reuse creates scoring inaccuracy due to carrier-specific claim pattern differences; confirm model version alignment in API request headers for multi-carrier deployments
- ⚠ GDPR DATA SUBJECT RIGHTS FOR CLAIM AI DECISIONS: Automated claim processing using Shift Technology AI for EU claimants must provide GDPR right to explanation for automated decisions; automated claim triage without explainability response capability creates GDPR Article 22 compliance exposure for insurance carriers processing EU policyholder claims
- ⚠ DISPARATE IMPACT MONITORING FOR AI CLAIMS TRIAGE: Shift Technology AI triage models must be monitored for disparate impact on protected class characteristics; automated STP routing using AI scores without periodic disparate impact analysis creates state insurance regulatory exposure in jurisdictions with AI fairness requirements (CO SB21-169, NY DFS circular)
- ⚠ WEBHOOK DELIVERY ORDERING FOR CLAIM STATUS: Shift Technology webhooks for scoring completion may deliver out of order for concurrent claim events; automated downstream claim action triggered on webhook must implement event sequence validation; processing out-of-order scoring events creates incorrect claim disposition for rapidly-changing claim status
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Scores are editorial opinions as of 2026-03-07.