Narrative Integrity Detector
Detect inconsistencies, misinformation, and gaps across large volumes of content to maintain message accuracy and trust.
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Executive summary
Detecting scripted or fraudulent narratives within large-scale interviews and applications requires more than keyword matching. The Narrative Integrity Detector introduces reasoning and policy awareness to uncover patterns that signal coached or repeated responses. Built on SeekrFlow’s agentic architecture and AI-Ready Data Engine, it correlates narrative similarity with regulatory context to produce transparent, analyst-ready reports. This enables faster, more accurate screening and reinforces the integrity of government and enterprise review systems without sacrificing scale or explainability.
Problem
Government and enterprise teams frequently face surges in interview-based or form-based data—from immigration screenings to benefits applications, workforce assessments, or vendor attestations. As volumes rise, so does the challenge: how do you catch coached responses, scripted statements, or inconsistent claims at scale?
Bad actors exploit these systems by reusing pre-written narratives designed to bypass surface-level reviews. In 2024, federal charges revealed large-scale operations submitting near-identical claims across hundreds of government forms and interviews.
Manual review can’t keep pace. The risk: systems flooded with falsified inputs, slowing down legitimate cases and draining review capacity.
Current workflows can’t:
Rapidly detect copy-paste or coached responses
Validate claims against policy, law, or real-world conditions
Scale narrative integrity checks to thousands of inputs per week
Solution
Seekr’s Narrative Integrity Detector is a reasoning-capable, policy-aware agent that flags likely scripted or fraudulent narratives across high-volume interview or application data sets. It applies fast, multi-step reasoning to interview or application text—identifying likely-scripted narratives and generating explainable reports.
Each flagged result includes:
A confidence score (e.g. 90%+ likely scripted or fraudulent)
Evidence of narrative similarity to previously flagged cases
Policy or fact-based validation (where narratives diverge from accepted norms or criteria)
Context retrieved from trusted data sources (e.g. regulations, historical records, policy guidance)
All delivered via a clear, analyst-ready report—not a black-box alert.
Value
Flags likely-scripted narratives at scale—thousands of inputs analyzed in minutes
Combines statistical pattern detection with policy awareness
Supports transparent review and reduces false positives
Saves human analysts hours, so they can focus effort where it matters
Strengthens integrity of review systems under load
How it works
This solution uses SeekrFlow’s modular AI architecture:
Planner
Interprets narrative input, infers structure, detects suspicious framing
FileSearch
Compares inputs to historic labeled examples using vector similarity
Policy check (WebSearch)
Validates claims against domain-specific rules, guidance, or conditions
Evaluator
Synthesizes narrative patterns + policy signals into a final integrity score
SeekrFlow’s AI-Ready Data Engine handles resume ingestion, chunking, and metadata tagging—no extra training or ops required.
Ideal users
Government screening teams (e.g. immigration, grants, benefits, defense clearance)
Risk and fraud analysts reviewing interviews or attestations
Intelligence teams vetting field reports
Procurement and HR teams evaluating high-volume submissions
Built on SeekrFlow
AI-Ready Data Engine
Inputs chunked, embedded, and labeled
FileSearch
High-similarity detection against known templates or prior fraud
WebSearch
Rule and fact-checking against official sources
Agent Framework
Planner, Evaluator, Policy Check orchestration
React UI
Analyst-friendly reports, highlighted flags, transparent scoring
Where you can extend it
This Prebuilt Solution is fully extensible via SeekrFlow UI, SDK, or pipeline updates:
Monitor live interviews for real-time coaching detection
Deploy to chatbot or form intake systems for early triage
Expand vector DB with domain-specific examples (e.g. claims, attestations, reports)
Integrate into case management or decision workflows
Takeaway
The Narrative Integrity Detector isn’t just keyword filtering. It’s a reasoning-powered copilot for narrative validation.
Deployed on SeekrFlow, it helps screening teams protect systems from copy-paste inputs, surface high-risk narratives early, and preserve throughput for valid cases with transparent, scalable AI assistance.
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See it in action
See how this AI solution works for your team. Request a live walkthrough with one of our experts and explore how it can adapt to your unique workflows and data.
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