Adobe is developing 'agentic solutions' to automate complex tasks like journey orchestration and content generation, aiming to simplify user experience and reduce training needs.
Filing excerpt
We are building agents on the Adobe Experience Platform, informed by our deep understanding of our customers’ needs and the complexity of delivering content at scale, to redefine and simplify the future of customer connection by automating decision-making, optimizing workflows and enabling real-time orchestration of content, data and journeys.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kautomationInvestmentGet every 10-K signal for Adobe 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/191a196e-3009-44b8-aba8-4da718ffc258 returns this record as JSON. POST /v1/companies/enrich returns every signal for adobe.com.
{
"signal_id": "191a196e-3009-44b8-aba8-4da718ffc258",
"signal_type": "sec-10k",
"signal_subtype": "automationInvestment",
"detected_at": "2026-02-03T08:23:49.973+00:00",
"company": {
"name": "Adobe",
"domain": "adobe.com"
},
"data": {
"detail": "Adobe is developing 'agentic solutions' to automate complex tasks like journey orchestration and content generation, aiming to simplify user experience and reduce training needs. This focus on automation creates opportunities for vendors specializing in process mining, workflow optimization, and backend infrastructure.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Building AI agents to automate decision-making and optimize workflows across its portfolio",
"excerpts": "We are building agents on the Adobe Experience Platform, informed by our deep understanding of our customers’ needs and the complexity of delivering content at scale, to redefine and simplify the future of customer connection by automating decision-making, optimizing workflows and enabling real-time orchestration of content, data and journeys.",
"relevance": 0.7,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/796343/000079634326000003/adbe-20251128.htm",
"filing_date": "2026-01-15",
"filing_year": 2026,
"sales_relevance": "Automation vendor opportunity",
"signal_category": "technology",
"technologies_mentioned": [
"AI",
"AI agents"
]
}
}
curl https://signals.autobound.ai/v1/signals/191a196e-3009-44b8-aba8-4da718ffc258 \
-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":"adobe.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.