Narrative Integrity Detector

A reasoning-capable, policy-aware agent that flags likely scripted or fraudulent narratives across high-volume interview or application data sets.
Red shield and signals that indicate red flags for narrative integrity detection

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 conditionsScale narrative integrity checks to thousands of inputs per week

What it does

The Narrative Integrity Detector 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.

How it works (Powered by SeekrFlow™)

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 manages ingestion, vector embedding, and contextual lookups—no fine-tuning or retraining 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

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—focusing effort where it matters
  • Strengthens integrity of review systems under load

Where you can extend it

This Prebuilt Solution extends 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

Solution traits

Prebuilt Solution | Agentic | Retrieval-Augmented | Evaluable | UI-Ready | Extendable

Takeaway

This isn’t 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.

Ready to try it yourself?

Let’s Talk

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