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Why 77% of Financial Institutions See Decision Intelligence as Their 2026 Priority

Amy Sariego

February 20, 2026

The financial services industry is experiencing a fundamental shift. Organizations have spent years automating decisions. Now they need those decisions to get smarter.

Our 2026 Global Decisioning Survey reveals the scope of this transition: 77% of senior decision-makers see Decision Intelligence as very valuable for their strategy over the next 2-3 years.

What Decision Intelligence Actually Means

Decision Intelligence represents the evolution from automated decisioning to continuously optimized, AI-driven decision-making that learns and improves.

THE DIFFERENCE:

The Traditional Approach:

Deploy AI models, measure results periodically, update quarterly, manage explainability and governance separately

Decision Intelligence Approach:

Execute decisions at scale, measure outcomes continuously, learn from performance, optimize in real-time within unified platforms that provide transparency, governance, and integration

Organizations are moving quickly:

75%

are already collaborating on AI-driven decision intelligence

18%

are exploring partnerships

66%

are very interested in using AI for strategy implementation and optimization

60%

plan to invest in AI or embedded intelligence for decisioning in 2026 (making it the top investment priority)

What Organizations Value Most

When we asked which AI features provide the most value, organizations prioritized capabilities that go beyond basic automation:

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51%

Ability to leverage generative AI for natural language queries

The democratization of AI insights through conversational interfaces transforms who can access and act on decisioning data. Business users, executives, operations teams, and compliance staff can all interact directly with AI systems using natural language.

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92%

of organizations find it important to interact with data quickly using natural language queries.

(62% find it very important, 30% moderately important).

49%

Real-time decisioning across customer touchpoints:
Speed and consistency across channels create better customer experiences and reduce operational complexity.

50%

Transparency and explainability of AI models:
Organizations need AI they can understand and defend to regulators and stakeholders.

47%

Integration with existing systems and data sources:
AI must work with existing infrastructure rather than requiring complete replacement.

The Business Impact

Organizations cite four primary benefits from improved Decision Intelligence:

62%
cite operational efficiency:
Automated decision-making reduces manual review, accelerates processes, and lowers costs while improving consistency.
52%
cite better customer experience:
Faster decisions, reduced friction, and personalized interactions create superior customer journeys.
58%
cite improved accuracy of models and strategies:
Continuous learning and optimization improve predictive performance and business outcomes over time.
56%
cite faster deployment of new decision strategies:
Rapid testing and iteration enable organizations to adapt quickly to market changes and competitive pressure.

These benefits compound over time. Organizations that deploy Decision Intelligence don’t just get better decisions today. They build systems that continuously improve.

The Intelligence Loop in Practice

Decision Intelligence creates a continuous cycle:

Shape Strategy

Design and evolve decision strategy by learning from how decisions actually perform. Strategy is measured through outcomes and continuously refined to balance risk exposure and revenue opportunity.

Execute Decisions

Make real-time, data-driven decisions at every customer touchpoint using deep customer understanding, data, context, and decision history.

Measure Outcomes

Connect decisions to business outcomes to see what actually drives risk, revenue, and profitability.

Learn and Optimize

Get specific recommendations to improve performance based on actual results. Learn from the results over time and continuously refine strategies.

This loop transforms decisioning from a periodic batch process into a continuous optimization system.

The Natural Language Revolution

92% of organizations find it important to interact with data quickly using natural language queries. This represents a fundamental shift.

When business users can interact directly with AI systems using conversation, they build intuition about how these systems work. That understanding improves their ability to provide governance oversight and makes the entire organization more comfortable with AI-driven decisioning.

Natural language querying enables:

Business users to explore decisioning data without SQL knowledge
Executives to get instant answers to strategic questions
Operations teams to investigate anomalies in real-time
Compliance teams to audit decisions conversationally

This democratization helps address one of the top implementation barriers: explainability. When more people in the organization can interact with and understand AI systems, those systems become more transparent by design.

Addressing Implementation Barriers

Decision Intelligence approaches help address the barriers preventing AI adoption:

Explainability
Platforms provide visibility into what decisions were made, how they perform, and why. This makes it easier to explain outcomes to regulators and stakeholders.
Governance
Connecting decisions to business outcomes (risk, revenue, customer experience) makes governance more manageable. You measure results and learn from performance rather than monitoring models in isolation.
Integration
Decision Intelligence platforms orchestrate data and decisions across existing infrastructure without requiring wholesale system replacement.
Speed
Organizations can learn from every decision and optimize continuously, addressing the speed challenge that 50% cite as their biggest fraud detection obstacle.

Looking Ahead

The survey reveals clear momentum:

77%

see Decision Intelligence as very valuable

75%

are already implementing it

66%

want AI for strategy optimization

60%

are investing in 2026 (top priority)

Traditional decisioning optimizes for speed. Decision Intelligence optimizes for outcomes. Organizations that build systems capable of continuous learning will create advantages that compound over time.