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      "Add a recommendation slide before the contacts page: 3-5 imperative actions banks should take now, tied back to the p.5 thesis",
      "Rename the five 'Contents' dividers to pillar statements (e.g. 'Where banks are investing', 'Where they are cautious', 'Where the value sits') so the MECE structure is visible",
      "Rewrite pp.20 and 22 with declarative titles — e.g. 'Marketing personalization and human-like chatbots top the front-office priority list (58%)' instead of 'Top front-office use cases'",
      "Move the demographics page (p.24) adjacent to the methodology page (p.3) so the analytical spine runs uninterrupted into a closing recommendation"
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      "Consistent metric anchoring — nearly every analytical slide carries a headline percentage (45%, 66%, 90%, 61%) which makes the survey findings skimmable"
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      "Five identical 'Contents' dividers (pp.2, 4, 6, 19, 23) signal structure but name no pillars, so the reader cannot hold the argument in their head",
      "Use-case section titles (pp.20, 22) collapse to topic labels after 12 slides of declarative action titles, breaking the cadence",
      "Survey-demographics slide (p.24) appears near the end rather than in the methodology opening — it belongs with p.3, not as a closer"
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    "pillarCritique": "The deck uses repeated 'Contents' slides (pp.2, 4, 6, 19, 23) as section dividers, implying pillars, but the divider titles are all identical ('Contents') so the MECE structure is hidden from the reader — the pillars are topic dumps (adoption, viability, use cases) rather than named arguments.",
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    "titleQualityCritique": "Most titles are genuinely declarative and metric-bearing, e.g. p.8 '45% of banks are already investing in GenAI, with larger banks outpacing their peers' and p.16 '90% of banks have dedicated at least some resources to GenAI initiatives; however, most applications (73%) are not expected to launch before 2024'. But the use-case section lapses into topic labels — p.20 'Top front-office use cases for retail and commercial banks' and p.22 'Top back-office use cases' state no insight."
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