Skip to main content
FIS10-K: AI investment

FIS is strategically embedding AI and machine learning across its solutions and operations.

What happened

The company is actively integrating AI, machine learning, and predictive analytics into its platforms to enhance decision-making, improve fraud detection, and create operational efficiency. This creates demand for AI talent, development platforms, and data infrastructure to support these initiatives.

Source

SEC EDGARFeb 24, 2026

Annual report (Form 10-K)

FIS 10-K for FY2025

Filing excerpt

As we advance our transformation into a platform company, we are embedding artificial intelligence ("AI") across our solutions and operations.

sec.gov/Archives/edgar/data/1136893/000113689326000013/fis-20251231.htmRead the full source

Other signals in this filing (11)

Extracted by Autobound

From the Signal API record
Signal
10-K: AI investment

What this signalsFilings often name leadership changes, deals and spending plans.

Period
FY2025
Fiscal year end
12/31
Filed
Feb 24, 2026

More 10-K signals at other companies

The full record

From the Signal API record

Details

CIK
1136893
Accession number
0001136893-26-000013
Timeframe
Current year
Filing year
2026
Why it matters
Target for AI vendors
Signal category
Technology

Topics and mentions

Technologies

  • AI
  • machine learning
  • predictive analytics

Extraction

Confidence
High
Relevance
80%
Sentiment
Positive
Detected
Mar 3, 2026
signal_type
sec-10k
signal_subtype
aiInvestment

Use this data

Get every 10-K signal for FIS and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at FIS this week?”

  2. Send it to your own tools

    The Signal API returns 10-K signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

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 API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/6b72caab-dc93-4cab-8108-d31a2970e127 returns this record as JSON. POST /v1/companies/enrich returns every signal for fisglobal.com.

{
  "signal_id": "6b72caab-dc93-4cab-8108-d31a2970e127",
  "signal_type": "sec-10k",
  "signal_subtype": "aiInvestment",
  "detected_at": "2026-03-03T05:56:09.685+00:00",
  "company": {
    "name": "FIS",
    "domain": "fisglobal.com"
  },
  "data": {
    "detail": "The company is actively integrating AI, machine learning, and predictive analytics into its platforms to enhance decision-making, improve fraud detection, and create operational efficiency. This creates demand for AI talent, development platforms, and data infrastructure to support these initiatives.",
    "metrics": {
      "timeframe": "current_year"
    },
    "summary": "FIS is strategically embedding AI and machine learning across its solutions and operations.",
    "excerpts": "As we advance our transformation into a platform company, we are embedding artificial intelligence (\"AI\") across our solutions and operations.",
    "relevance": 0.8,
    "sentiment": "positive",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1136893/000113689326000013/fis-20251231.htm",
    "filing_date": "2026-02-24",
    "filing_year": 2026,
    "fiscal_year_end": "12/31",
    "sales_relevance": "Target for AI vendors",
    "signal_category": "technology",
    "technologies_mentioned": [
      "AI",
      "machine learning",
      "predictive analytics"
    ]
  }
}

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.