Unlock the Value of Banking Data with AI
Banks sit on decades of customer, transaction, lending, and operational data. But fragmented systems, inconsistent business definitions, and constantly changing data make it difficult for AI to deliver reliable results.
Solid automatically creates, evaluates, and maintains the business context and semantic foundation AI needs to understand your banking data the way your business does - so teams can unlock trusted insights, power AI agents, and move faster with confidence.
Solid automatically creates, evaluates, and maintains the business context and semantic foundation AI needs to understand your banking data the way your business does - so teams can unlock trusted insights, power AI agents, and move faster with confidence.
Banking Data Holds Massive Value. AI Can't Access Most of It.
Banks have invested heavily in collecting data across core banking systems, lending platforms, CRMs, payment systems, and customer channels. But turning that data into business value remains difficult.
Today:
- Customer data is fragmented across dozens of systems
- Business definitions vary across teams and departments
- AI tools struggle to understand banking metrics, relationships, products, and business rules
Without a trusted understanding of how banking data connects, what it means, and the business rules behind it, AI often produces inconsistent answers, incomplete insights, and unreliable outcomes.
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Solid Unlocks the Value of Banking Data.
Solid automatically creates, evaluates, and maintains semantic models that give AI the business context it needs to understand how your bank's data connects, what it means, and how it should be used.
With Solid:
- AI understands banking data the way your business does
- Semantic models stay accurate as data, products, and business requirements evolve
- Teams can confidently use AI across analytics, reporting, business workflows, and AI agents
Instead of spending time reconciling fragmented data, banks can unlock more value from the data they already have and give AI a trusted understanding of their business.
Three Ways Banks Enable Better AI with Solid
What Banking Teams Can Do with Solid
1
Enable AI-Powered Commercial Lending Insights
Banks have access to rich customer, transaction, and financial data that can help identify lending opportunities. The challenge is that this information is often spread across systems, making it difficult for AI to understand the business definitions, relationships, and rules that connect the data.
Solid automatically creates and maintains the semantic foundation that gives AI a trusted understanding of banking data and business definitions.
Solid automatically creates and maintains the semantic foundation that gives AI a trusted understanding of banking data and business definitions.
With that trusted foundation, banks can power AI applications that:
- Identify qualified lending opportunities
- Surface customers nearing renewal windows
- Highlight businesses likely to need working capital
- Support relationship managers with relevant customer insights
Outcome
Banks can unlock more value from existing customer data and help lending teams act faster with greater confidence.
2
Enable More Effective Product Recommendations
Banks often have the information needed to identify cross-sell and upsell opportunities, but customer data is fragmented across products, channels, and business units. AI also needs to understand the relationships between customers, products, eligibility rules, and historical interactions to deliver recommendations that are relevant and trustworthy.
Solid connects business definitions and data relationships across systems, making customer information understandable and usable for AI.
Solid connects business definitions and data relationships across systems, making customer information understandable and usable for AI.
With a trusted semantic layer, banks can power AI applications that:
- Identify customers likely to benefit from additional products
- Connect transaction behavior to product opportunities
- Surface relevant recommendations across business lines
- Improve personalization and customer engagement
Outcome
Banks can use AI more effectively to deepen customer relationships and increase product adoption.
3
Enable Trusted Customer Insights Across Teams
Business users often struggle to get consistent answers from data because definitions, metrics, and customer information vary across systems. Even when AI can access the data, it still needs context around how the bank defines customers, accounts, products, risk, and performance.
Solid gives AI a shared understanding of how banking data is defined, connected, and used across the business, ensuring answers remain accurate and consistent.
Solid gives AI a shared understanding of how banking data is defined, connected, and used across the business, ensuring answers remain accurate and consistent.
With trusted business context, teams can:
- Ask questions in plain language
- Access consistent customer insights across departments
- Reduce dependence on manual reporting
- Make faster, more informed decisions
Outcome
Relationship managers, analysts, and business leaders gain faster access to trusted insights without needing to navigate complex data systems.
Real Results
For Banks Using Solid
Banks investing in AI want measurable impact - not more experimentation. Solid helps financial institutions turn fragmented banking data into a trusted foundation that gives AI the context it needs to deliver reliable answers, automate workflows, and support better decisions.
>85%
AI Answer Accuracy
Up from ~20–30%
4×
Faster Deployment
Deploy AI and data initiatives faster
50–70%
Less Time Spent
Reduce time spent validating and maintaining data
Instead of spending months trying to prepare data for AI, banks can quickly deploy AI-powered insights and workflows that help teams identify opportunities, serve customers better, and grow revenue.
Solid removes the biggest barrier to enterprise AI - giving AI a trusted understanding of your data so it can deliver reliable answers, power workflows, and support decision-making across your organization.
Why Solid?
Reliable AI Insights
AI answers questions using SQL grounded in trusted business logic.
Self-Service Data Access
Business users can ask questions without waiting on analysts.
Consistency Across Tools
The same trusted SQL powers AI tools, dashboards, and reporting.