{
  "docId": "019dd923-5de0-76bd-a167-d50ae18c1f4e",
  "docSlug": "426832e70272fe9b",
  "documentTitle": "Banking Consumer Study 2025",
  "authorId": "Accenture",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 14,
  "pageCount": 38,
  "prevPage": 13,
  "nextPage": 15,
  "slideType": "key_messages",
  "function": "recommend",
  "density": "dense",
  "nDataPoints": 2,
  "notes": "The slide uses a historical analogy (credit cards) to frame the current challenge of AI adoption in banking.",
  "elementsJson": [
    "headline_text",
    "action_title",
    "paragraph",
    "subtitle_text"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-d50ae18c1f4e/14",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-d50ae18c1f4e",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-d50ae18c1f4e.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-d50ae18c1f4e#slide-14",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "53% of customers worry about privacy, and 58% fear hacking risks.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9ce7-a51d5258e9b6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "customers worried about privacy: 53%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-a672-7739-9ce7-a9b9b12ff8c3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.28,
        "x": 0.67,
        "y": 0.35
      },
      "kind": "paragraph",
      "text": "The clear challenge is that delivering requires banks to teach customers even as they learn more about AI themselves—at speed. One way to jumpstart thinking on how? Look outside of the banking industry for case examples that offer transferrable ideas. Sweden-based Spotify, the digital music, podcast and video service, offers an example. Spotify's Privacy Center plays a crucial role in educating users about how their data is used. Additionally, features such as 'Exclude from Your Taste Profile,' give users control over AI and the extent of its influence on recommendations.4",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9aa58d9f-196a-4402-a09b-a165751b3630",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.28,
        "x": 0.07,
        "y": 0.35
      },
      "kind": "paragraph",
      "text": "It really wasn't that long ago (the 1990s) that consumers' fear of fraud had many hesitating to use credit and debit cards. Visa and Mastercard responded with Zero Liability policies, assuring customers they wouldn't be held responsible for unauthorized transactions. This move built trust, transformed consumer confidence and accelerated credit card adoption.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9ea0e00f-4b33-466b-a55c-4a621b37af3c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.28,
        "x": 0.37,
        "y": 0.35
      },
      "kind": "paragraph",
      "text": "Banks face a similar situation with AI today. To move from \"Artificial\" intelligence to \"Trusted\" intelligence, banks must show that AI-driven insights are reliable, secure and genuinely beneficial. This requires branding, marketing, customer education and—sooner rather than later—proof that AI is creating real value in a secure, transparent way. In the absence of these efforts, customers will fill the void (as they have so far, seeing it as a source of uncertainty). While banks are among the most trusted institutions for data security, 53% of customers worry about privacy, and 58% fear hacking risks. This skepticism makes them hesitant to embrace AI-driven services.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e9fc340e-421a-46a2-8977-da4f74a937dd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.55,
        "x": 0.07,
        "y": 0.22
      },
      "kind": "title",
      "text": "01 Turn artificial intelligence into trusted intelligence",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "02aec19a-6eca-4c64-93e2-8c97ca0b782b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.15,
        "x": 0.07,
        "y": 0.11
      },
      "kind": "title",
      "text": "Actions to help",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a9f35f9d-9c29-405e-a863-332efa6f2603",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "customers worried about privacy",
      "numberRaw": "53%",
      "numberKind": "percent",
      "actionTitle": "Turn artificial intelligence into trusted intelligence",
      "calloutText": "53% of customers worry about privacy, and 58% fear hacking risks.",
      "numberScale": null,
      "numberValue": 53,
      "metricFamily": "other",
      "numberCurrency": null
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-0bbb-77da-b1d1-b79614bae7eb",
      "evidence": "Recommendation phrased as imperative: 'Turn AI into trusted intelligence'",
      "confidence": 90
    },
    {
      "name": "Call to action",
      "slug": "call-to-action",
      "agent": null,
      "layer": "slide",
      "matchId": "df1bc0c7-905a-4bad-be41-e75398b912c9",
      "evidence": "Look outside of the banking industry",
      "confidence": 0.5
    },
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0bbb-77da-b1d1-bb5162950022",
      "evidence": "53% privacy / 58% hacking fears anchor the abstract recommendation",
      "confidence": 70
    },
    {
      "name": "Problem-Agitate-Solve (PAS)",
      "slug": "problem-agitate-solve-pas",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "54193a11-644e-4558-857c-9ce58cf17b69",
      "evidence": "To move from \"Artificial\" intelligence to \"Trusted\" intelligence, banks must show that AI-driven insights are reliable, secure and genuinely beneficial.",
      "confidence": 0.6
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 34,
      "from": 12,
      "beatId": "019dd95a-0680-7418-8208-93832433f2a3",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Each driver section: diagnostic stat + recommendations + named bank case studies",
      "position": 4,
      "confidence": 88,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 30,
      "from": 13,
      "beatId": "019dd95a-0680-7418-8208-9fe0e59bdcd1",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Diagnostic stats per driver: 46%, 72%, 21%, 53% gaps",
      "position": 2,
      "confidence": 65,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    }
  ],
  "loops": [
    {
      "to": 16,
      "from": 13,
      "name": "Before After",
      "slug": "21-before-after",
      "bestFor": "Product demos, process improvements, ROI justification",
      "matchId": "019dd95a-07fd-712f-b772-59ac3ba31485",
      "evidence": "Old way: 46% feel pressured, 53% privacy worry -> new way: trusted AI, advise-first, invest in future",
      "position": 2,
      "objective": "Diagnose trust gap then prescribe how to restore it (Reassure me)",
      "structure": "The Old Way (Pain) -> The Moment of Change -> The New Way (Glory) -> The Measurable Delta",
      "confidence": 70,
      "description": "Show the dramatic contrast between the old way and the new way through side-by-side comparison"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}