The company's strategic reliance on AI and Gen AI introduces risks related to performance, regulatory scrutiny, and potential liability.
Filing excerpt
Our use of artificial intelligence, including Gen AI and ML, gives rise to legal, business, and operational risks, which may result in diminished performance, regulatory scrutiny, social impacts, reputational harm, and liability arising from the use of this technology.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kcomplianceBurdenGet every 10-K signal for Navan and the companies you sell to, in the tools you already use.
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This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/f6fbfe38-cbb2-4d60-9022-10835b433604 returns this record as JSON. POST /v1/companies/enrich returns every signal for navan.com.
{
"signal_id": "f6fbfe38-cbb2-4d60-9022-10835b433604",
"signal_type": "sec-10k",
"signal_subtype": "complianceBurden",
"detected_at": "2026-04-07T09:39:22.824+00:00",
"company": {
"name": "Navan",
"domain": "navan.com"
},
"data": {
"detail": "The company's strategic reliance on AI and Gen AI introduces risks related to performance, regulatory scrutiny, and potential liability. This creates an opportunity for vendors providing AI governance, risk management, and compliance (GRC) solutions to help mitigate these new challenges.",
"summary": "Strategic use of Gen AI and ML creates new legal, business, and operational risks for Navan.",
"excerpts": "Our use of artificial intelligence, including Gen AI and ML, gives rise to legal, business, and operational risks, which may result in diminished performance, regulatory scrutiny, social impacts, reputational harm, and liability arising from the use of this technology.",
"relevance": 0.7,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1639723/000162828026023250/navn-20260131.htm",
"filing_date": "2026-04-02",
"filing_year": 2026,
"fiscal_year_end": "01/31",
"sales_relevance": "GRC tools needed",
"signal_category": "risk",
"technologies_mentioned": [
"AI",
"Gen AI",
"machine learning",
"ML"
]
}
}
curl https://signals.autobound.ai/v1/signals/f6fbfe38-cbb2-4d60-9022-10835b433604 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"navan.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.