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Overview#
Smart Fields is an AI-powered inline editing system that provides intelligent suggestions as users type, dramatically reducing data entry time while improving data quality. Using a multi-tier AI strategy optimized for different complexity levels and a human-in-the-loop approval workflow, Smart Fields suggests field values, extracts entities from text, enriches profiles with open-source intelligence, and pre-fills related fields, all requiring explicit user approval before any changes are committed.
Key Features#
- Real-Time AI Suggestions -- Context-aware recommendations appear as users type, with confidence scores and multi-field correlation that anticipates related values based on entity type and existing data
- Human-in-the-Loop Approval -- Every suggestion requires explicit user acceptance through a visual diff showing current versus suggested values, with one-click accept or reject and batch approval for multiple suggestions
- Multi-Tier AI Routing -- Automatically routes requests to the appropriate AI model tier based on complexity, balancing speed and accuracy for tasks ranging from simple field completion to complex entity analysis
- Entity Extraction -- Automatically identifies and extracts people, places, organizations, dates, and other entities from unstructured text such as investigation notes and reports
- OSINT Data Enrichment -- Enriches profiles by cross-referencing with public databases and open-source intelligence to discover related entities and fill in missing information
- Evidence Metadata Extraction -- Automatically extracts and suggests field values from evidence file metadata, reducing manual data entry for uploaded materials
- Permission-Based Access -- Role-based access control governs which enrichment features are available to each user, with tenant isolation, usage tracking, and configurable quotas
- Complete Audit Trail -- Records every suggestion, acceptance, and rejection with timestamps and user information for accountability and compliance
Use Cases#
- Accelerating person and organization profile creation by suggesting formatted contact details, discovering related entities, geocoding addresses, and pre-filling fields based on available data
- Streamlining investigation note-taking with automatic entity extraction, tagging, categorization, timeline event suggestion, and related case linking as investigators type their notes
- Enriching existing records with open-source intelligence data to fill gaps, discover connections, and improve data quality across the platform without manual research
- Reducing data entry errors through AI-powered field validation and formatting suggestions that catch inconsistencies and standardize data as it is entered
Integration#
The module connects with open-source intelligence providers, public databases, evidence management systems, and entity resolution tools to provide contextual suggestions drawn from across the platform and external data sources.
Last Reviewed: 2026-02-04