AI for financial services
When AI turns financial data into insight, decisions move faster.
Run enterprise AI on governed private cloud infrastructure built for the security, compliance and reliability financial institutions demand, purpose-built for regulated environments and powered by strategic partnerships with Palantir and Uniphore.
Beyond pilots
Move AI into production
Full stack
Infrastructure to Agents
20+ years
BFSI domain expertise
Explore our solutions
Built for regulated, mission-critical environments
Take the chaos out of cloud management with access skilled resources on demand with fully managed services
Spotlight application:
AI-powered financial spreading for commercial lending
AI-powered financial spreading for commercial lending: Transform one of banking's most manual, time-intensive workflows into a competitive advantage.
Commercial lending teams at banks, credit unions and regional financial institutions know the challenge well. Financial spreading is essential to credit underwriting, but traditional manual processes are slow, inconsistent and increasingly difficult to scale as loan volumes grow.
Rackspace AI-powered financial spreading automates the extraction, normalization and analysis of financial statements. Hours of analyst work is reduced to minutes while maintaining the accuracy, auditability and regulatory compliance your institution requires. Built on secure private cloud infrastructure and integrated with your existing lending platforms, the solution scales with your lending pipeline and meets the governance standards your examiners expect.
Watch the demo to see how AI-powered financial spreading transforms commercial lending workflows:
Strategic partnerships:
Powering AI in production
We partner with leading AI platforms to help financial institutions run governed AI in production.
The industry’s first Infrastructure to Agents architecture
Rackspace has partnered with Uniphore, the business AI platform backed by NVIDIA and AMD, to deliver the industry’s first Infrastructure to Agents architecture as an outcomes-based service.
Together, we're helping financial institutions move from experimentation to production at scale, without sacrificing governance, security or control.
- Move from pilot to production quickly: Run AI in a unified, governed environment spanning infrastructure to agents, delivering production-ready AI in weeks, not years.
- Prepare enterprise data for AI workflows: Uniphore data agents structure and clean enterprise data so it can power real workflows without a multi-year transformation.
- Deploy industry-specific AI agents: Pre-packaged SLM-based agentic workflows deliver automation with governance built in from day one.
- Optimize compute performance and cost: Rackspace optimizes across NVIDIA and AMD architectures, avoiding over-provisioning and vendor lock-in.
- Retain ownership of your models and IP: Domain-specific models built on your data remain your intellectual property, enabling long-term differentiation and a defensible AI strategy.
Real-time AI decisions on governed infrastructure
Our strategic partnership with Palantir brings Palantir AIP and Foundry to production for BFSI clients, enabling real-time, AI-driven decisions supported by Rackspace Forward Deployed Engineers (FDEs) and our deep financial services domain expertise.
Together, we deliver production-grade AI that meets the governance, security and compliance standards your institution demands.
Palantir's ontology layer connects your core banking platforms, general ledger systems, CRM and operational data sources into a governed, AI-ready data foundation that can consolidate fragmented estates in weeks instead of years.
Move AI into production with Palantir Foundry and AIP, engineered by Rackspace FDEs
- Achieve outcomes at rapid velocity: Realize measurable outcomes in weeks, from fraud and AML workflow automation to credit risk decision intelligence, with our purpose-built AI stack and accelerators.
- Build compliance into AI workflows: Prove compliance, fairness and explainability across regulated workflows with human-in-the-loop governance.
- Drive cost efficiency: Improve efficiency ratios with superior control and predictability over infrastructure and token spending.
- Work with forward deployed engineers: Rackspace FDEs with deep BFSI domain expertise work alongside your team to drive real outcomes.
The industry’s first Infrastructure to Agents architecture
Rackspace has partnered with Uniphore, the business AI platform backed by NVIDIA and AMD, to deliver the industry’s first Infrastructure to Agents architecture as an outcomes-based service.
Together, we're helping financial institutions move from experimentation to production at scale, without sacrificing governance, security or control.
- Move from pilot to production quickly: Run AI in a unified, governed environment spanning infrastructure to agents, delivering production-ready AI in weeks, not years.
- Prepare enterprise data for AI workflows: Uniphore data agents structure and clean enterprise data so it can power real workflows without a multi-year transformation.
- Deploy industry-specific AI agents: Pre-packaged SLM-based agentic workflows deliver automation with governance built in from day one.
- Optimize compute performance and cost: Rackspace optimizes across NVIDIA and AMD architectures, avoiding over-provisioning and vendor lock-in.
- Retain ownership of your models and IP: Domain-specific models built on your data remain your intellectual property, enabling long-term differentiation and a defensible AI strategy.
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Real-time AI decisions on governed infrastructure
Our strategic partnership with Palantir brings Palantir AIP and Foundry to production for BFSI clients, enabling real-time, AI-driven decisions supported by Rackspace Forward Deployed Engineers (FDEs) and our deep financial services domain expertise.
Together, we deliver production-grade AI that meets the governance, security and compliance standards your institution demands.
Palantir's ontology layer connects your core banking platforms, general ledger systems, CRM and operational data sources into a governed, AI-ready data foundation that can consolidate fragmented estates in weeks instead of years.
Move AI into production with Palantir Foundry and AIP, engineered by Rackspace FDEs
- Achieve outcomes at rapid velocity: Realize measurable outcomes in weeks, from fraud and AML workflow automation to credit risk decision intelligence, with our purpose-built AI stack and accelerators.
- Build compliance into AI workflows: Prove compliance, fairness and explainability across regulated workflows with human-in-the-loop governance.
- Drive cost efficiency: Improve efficiency ratios with superior control and predictability over infrastructure and token spending.
- Work with forward deployed engineers: Rackspace FDEs with deep BFSI domain expertise work alongside your team to drive real outcomes.
Frequently asked questions: AI in Financial Services
How do financial institutions move AI from pilot to production at enterprise scale?
Most financial institutions have successfully run AI pilots but struggle to scale them into production due to infrastructure gaps, data governance requirements, and integration complexity with legacy core banking systems. Moving AI into production at enterprise scale requires a governed infrastructure purpose-built for regulated environments, including private cloud compute, secure data pipelines, model management, and operational support. Rackspace Technology provides the end-to-end infrastructure and managed services that bridge the gap between a successful proof of concept and a production AI environment that meets the reliability, security, and compliance standards demanded by banking and financial services organizations.
What is agentic AI and how are banks using it today?
Agentic AI refers to AI systems that can autonomously execute multi-step workflows, make real-time decisions, and continuously learn from data, going beyond traditional chatbots or rules-based automation. Financial institutions are increasingly deploying agentic AI across loan origination, fraud detection, AML and KYC compliance, customer service, and back-office operations. Rackspace supports agentic AI deployments through full-stack infrastructure, from the compute and data layer through to AI agent orchestration, ensuring financial institutions can run autonomous AI workloads within regulatory guardrails.
How should banks approach AI governance and regulatory compliance?
AI governance for financial institutions requires aligning model development, deployment, and monitoring practices with regulatory frameworks including FFIEC guidance, OCC model risk management standards, and SR 11-7. This means maintaining audit trails, enforcing access controls, ensuring data residency requirements are met, and documenting model behavior for examiner review. Rackspace AI infrastructure is designed to support these requirements, providing the operational oversight and compliance controls that regulated banking, insurance, and capital markets organizations need to deploy AI responsibly and at scale.
What is AI document intelligence and how do banks use it for lending decisions?
AI document intelligence uses machine learning and natural language processing to automatically extract, classify, and structure data from complex financial documents, including tax returns, financial statements, balance sheets, loan applications, and regulatory filings. In banking and lending, document intelligence eliminates the manual data entry and review that slows down credit workflows, reduces human error, and creates a structured data foundation for faster, more consistent lending decisions. Rackspace, in partnership with Uniphore, delivers AI document intelligence solutions purpose-built for financial institutions, enabling commercial banks, credit unions, and lending organizations to process borrower documents at scale with the accuracy and audit trail required for regulated lending environments.
How do banks use AI to accelerate credit decisions and reduce underwriting risk?
AI is transforming credit decisioning by automating the extraction and analysis of borrower financial data, enabling loan officers and credit teams to evaluate applications in hours rather than days. Machine learning models assess creditworthiness across a broader set of variables than traditional scoring methods, improving accuracy and reducing the risk of manual error in high-volume commercial lending workflows. Rackspace and Uniphore deliver an AI-powered solution that automates the financial spreading and document processing steps of the underwriting cycle, giving commercial banks, credit unions, and lending institutions faster time-to-decision, lower operational cost, and a defensible, auditable credit process that meets regulatory expectations.
What is the Rackspace and Palantir partnership for financial services?
Rackspace Technology is a Palantir implementation partner, helping financial institutions deploy Palantir AIP, the enterprise AI platform built for mission-critical, data-intensive environments. Together, Rackspace and Palantir deliver AI-powered decision intelligence for use cases including fraud detection, credit risk, regulatory reporting, and operational efficiency across commercial and retail banks, insurance carriers, capital markets firms, and wealth management organizations. Rackspace provides the underlying infrastructure and managed services that ensure Palantir AIP runs securely and reliably within regulated financial environments.
What makes Rackspace Technology a trusted AI partner for financial services?
Rackspace Technology brings more than 20 years of financial services domain expertise combined with a curated partner ecosystem, including Palantir and Uniphore, and end-to-end managed infrastructure designed for regulated environments. Unlike generalist cloud providers, Rackspace specializes in the operational complexity of financial services AI: navigating legacy system integration, meeting examiner-ready compliance standards, and delivering the predictable cost and reliability that the full spectrum of BFSI organizations requires, from global banks and insurance carriers to credit unions, capital markets firms, mortgage lenders, and fintech companies.