5,814 agents prêts à l'emploi et 15,654 compétences de bibliothèque couvrant 24 secteurs et 12 métiers par secteur — installables depuis le catalogue, connectés à vos systèmes et exécutés à travers la même chaîne de contrôles en échec fermé que tout le reste sur Cortex.
21,511 modèles de bibliothèque dans la matrice du catalogue
Des suites conçues à la main pour les tâches que les entreprises automatisent en premier — chaque collection est livrée gouvernée, politiques et audit inclus.
Recherchez parmi 21,500+ compétences et agents gouvernés, ou filtrez par secteur et par type : chaque résultat s'installe depuis le catalogue et franchit les mêmes points de contrôle.
5 834 résultats · Agents
Analyze executive compensation structures for alignment with performance, ESG targets, and shareholder interests. Benchmarks pay ratios and incentive design against peers.
Calculate experience-rated premiums for large accounts with credibility weighting. Applies retrospective and prospective experience rating using account-specific loss history.
Run a comprehensive experience study analyzing actual vs expected outcomes across mortality, morbidity, lapse, and expense assumptions over a defined study period.
Track and compare ML experiments including hyperparameters, metrics, artifacts, and code snapshots. Supports experiment grouping, tagging, and leaderboard ranking.
Aggregate exposure data across policies for catastrophe modeling, treaty reporting, and portfolio management. Produces exposure summaries by geography, LOB, and peril.
Perform forensic data analytics to detect fraud patterns, anomalies, and irregularities. Uses Benford law, duplicate detection, gap analysis, and journal entry testing.
Manage evidence preservation including legal holds, chain of custody documentation, digital forensic imaging, and secure storage for investigation proceedings.
Prepare expert testimony materials including opinion reports, quantification of damages, demonstrative exhibits, and deposition preparation support.
Investigate fraud allegations using structured methodology including allegation assessment, evidence collection, interview planning, and findings documentation with legal chain of custody.
Trace and map assets linked to financial crime subjects. Identifies real property, corporate holdings, financial accounts, and beneficial ownership chains to support recovery and forfeiture actions.
Manage financial crime investigations from alert to disposition. Builds case files, analyzes transaction networks, documents evidence chains, and produces investigation reports.
Systematically gather and analyze evidence for financial crime investigations. Searches internal systems, external databases, and open-source intelligence to build comprehensive evidence packages.
Coordinate with law enforcement agencies on financial crime cases. Manages information sharing requests, production orders, voluntary disclosures, and joint investigation protocols.
Run Financial Condition Testing scenarios per CIA standards. Projects the financial condition of the insurer under adverse but plausible scenarios over a multi-year horizon.
Automatically discover, generate, and select features using deep feature synthesis, interaction detection, temporal aggregations, and mutual information-based selection.
Synchronize feature definitions and values between the offline feature store and the online serving layer. Validates schema consistency, freshness, and data quality.
Automatically select, rank, and curate few-shot examples for prompt templates using semantic similarity, diversity sampling, and performance-based filtering.
Evaluate and escalate audit findings based on severity, pervasiveness, and root cause. Routes to appropriate management level with remediation timeline and tracking.
Resolves tickets at L1 using knowledge base search, AI-assisted troubleshooting, and guided resolution scripts. Measures and improves first-contact resolution rate.
Prepare intelligence sharing packages for FIU-to-FIU exchange, industry working groups, and regulatory bodies. Sanitizes data while preserving analytical value.
Produce strategic financial crime risk assessments combining internal data, external intelligence, geopolitical factors, and industry trends for board and regulator consumption.
Analyze trends in financial crime activity across SAR data, alert volumes, investigation outcomes, and external intelligence. Identifies emerging threats and shifting patterns.
Develop new money laundering and fraud typologies from case data, intelligence reports, and cross-institutional patterns. Produces actionable detection signatures.
Train a time-series forecasting model on your data using AutoML. Automatically selects the best algorithm (ARIMA, Prophet, XGBoost) and generates predictions with confidence intervals.
Les agents de la bibliothèque ne sont pas des scripts — ce sont des identités gouvernées. En installer un l'enregistre avec un propriétaire, un budget, des modèles et des actions autorisés, et une place dans le registre d'audit.
Filtrez par secteur et par rôle ; chaque élément indique les systèmes auxquels il se connecte et les compétences qu'il invoque.
Connecteurs, serveurs MCP et imports OpenAPI — cadrés par des listes d'autorisation et le DLP au niveau de la passerelle.
Identité, budget, garde-fous, registre, Control Tower, exécution, garde-fou de sortie — puis un reçu signé dans le Trust Ledger. Sur toutes les formules.
Le générateur visuel de compétences livre de nouvelles compétences sans code — ou dites-nous ce qui manque et nous vous orienterons vers le modèle gouverné le plus proche.