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Decision intelligence, not automation, is reshaping banking growth. Marquis serves over 700 banks, and Gartner’s first Decision Intelligence Magic Quadrant
Marquis reports that more than 700 U.S. banks and credit unions are turning to decision‑intelligence solutions to convert abundant customer data into actionable growth, a shift that could redefine competitive advantage in the sector【1】.
| At a glance | |
|---|---|
| Institutions using Marquis | > 700 |
| Gartner Magic Quadrant launch | First DI platform MQ released (2023) |
| Core shift focus | From data collection to rapid decision making |
| Market implication | Banks prioritizing decision intelligence over pure automation |
Banks have spent the past decade layering new digital channels and data‑capture tools, yet many still struggle to act on the resulting information flood【1】. The emerging consensus, echoed by both Marquis and Gartner analysts, is that the next growth lever will be “decision intelligence” – the capability to identify patterns, predict needs, and prescribe the next best action before opportunities slip away【1】. This contrasts with earlier phases of business intelligence that delivered static reports or visual dashboards without prescribing action【2】.
Gartner’s inaugural Magic Quadrant for Decision Intelligence Platforms highlighted a bifurcation between a “Control Path” focused on decision governance—audit trails, explainability, and compliance—and an “Intelligence Path” centered on model‑first predictive analytics【2】. For financial institutions, the control path aligns with regulatory scrutiny, while the intelligence path supports high‑volume, low‑impact decisions such as automated loan‑offering recommendations. The distinction suggests that banks must match governance intensity to decision impact and volume to avoid operational risk while still leveraging AI‑driven insights【2】.
The shift toward decision intelligence signals that banks which can blend predictive models with robust governance may outpace peers that rely solely on data collection or automation, but the balance of speed and oversight remains an open challenge.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Jul 22, 2026 · How we report
It was a banking system where institutions were chartered by states, operated in remote locations, and issued their own currency without federal oversight, lasting from 1837 to 1865.
The act introduced federal oversight, created the United States National Banking System, and prohibited banks from issuing their own notes, ending the wildcat banking era.
They aim to use AI for decision intelligence—detecting behavioral signals, predicting customer needs, and determining next‑best actions—to improve relationship management and growth.
AI helps identify patterns and predict needs, enhancing human expertise and enabling faster, more informed decisions rather than just automating routine tasks.
Trust, governance, transparency, and human oversight are highlighted as critical to maintaining customer confidence and responsible data stewardship.