TLDR
Commercial lenders need to understand that AI has the capacity to help them — or competitors — deliver greater efficiencies via automation that mitigate risk, control costs, and achieve mission-critical goals. With deepset, institutions have access to a modular, future-proof AI solution that integrates deep domain expertise to achieve measurable business benefits and competitive advantage.
Key Metrics:
- 5× ROI on AI product investment for market research firm YPulse: launched a new GenAI co-pilot app in under 4 months with +30% user engagement and +25% increase in perceived product value
- 40% to 50% faster complex decision-making in real estate lending workflows at commercial lending firm credX with 99.5% answer correctness
- 20% higher accuracy in legal research vs. traditional tools, and 77% improved search recall at MANZ
- <3 second query response time and 1,000+ weekly queries handled by a secure RAG-based chatbot at Germany’s Ministry of Research (BMFTR), developed and deployed in under 6 months
- Reduced warranty risk and maintenance time at Airbus by fine-tuning aerospace-specific LLMs for faster semantic search across 8 million+ technical documents
"What sets deepset apart is their technical expertise and collaborative approach to building enterprise AI solutions. They demonstrated exceptional ability to understand our credit analysis needs and rapidly deliver customized solutions for complex document processing. Their flexible platform, deployed on the trusted infrastructure of AWS, combined with their hands-on engagement, makes them an invaluable partner in transforming our credit analysis workflows."
Nathan Holmes, Product Director, OakNorth
"AWS plays a major role for us in two ways: as a core technological foundation of our products, and as a global market leader. We build on their infrastructure to deliver secure, scalable AI systems — and their reach helps us bring our solutions to more organizations worldwide."
Milos Rusic, CEO & Co-founder, deepset
Lender Challenge: Accelerate Throughput of Loan Applications & Maintain Standards
One of the most common challenges the deepset team hears from lenders is: How can I accelerate throughput of accepted loan applications while maintaining high quality standards and minimizing additional spend on headcount?
The fact is, banks face growing pressure to close deals faster, scale efficiently, and reduce the cost per loan without compromising risk or compliance. Document-heavy workflows slow down underwriting processes and limit scale. Analysts find themselves buried in manual document review, inconsistent data extraction, and hours spent gathering inputs instead of making decisions. This means underwriting can take more than two weeks to compile and review a single credit memo.
Analyzing hundreds of pages per deal creates a bottleneck that forces banks to push underwriters beyond capacity — introducing risk and compliance exposure — or invest heavily in recruiting and onboarding new talent in a hyper-competitive market.
Once loans are booked, lean teams must still monitor compliance, flag risks, and surface insights across large portfolios. Without automation, these growing expectations strain teams, delay approvals, and limit growth.
This is where the deepset AI for commercial lending comes into the picture.
With deepset Lenders Increase Capacity Without Increasing Spend or Risk
Traditional document processing solutions fail to handle scattered data across poor-quality scans, mixed file formats, and fragmented information that analysts must piece together daily.
By contrast, commercial lending customers with the deepset AI platform have achieved 99.5% answer correctness, 80% reduction in due diligence, and 40% overall process efficiency gains.
The deepset advantage is threefold.
First, Haystack by deepset — our open-source AI orchestration framework — gives teams the flexibility to adapt generative AI in lending to complex, multimodal financial documents.
Second, the deepset AI platform — built on Haystack — gives teams a full-stack environment to design solutions, run rapid experiments, and test at scale. Teams can also govern access, security, and reuse components like templates and integrations.
Third, deepset’s support and service team of experienced AI engineers can help identify the right use cases, extend teams, and ship production-ready applications in weeks instead of quarters.
An AI Solution Tailored to the Financial Industry
With the deepset AI platform, businesses can implement an underwriting copilot that automates manual processes and accelerates workflows through an end-to-end system tailored for creating credit memos. This AI in lending use case demonstrates how generative AI transforms document-heavy workflows.
Here’s what the deepset AI underwriter does:
- Ingests thousands of documents across formats to support each loan application.
- Converts messy or scanned files into structured, readable data via Optical Character Recognition (OCR).
- Integrates external sources.
- Extracts information in a standardized, auditable way.
- Enables analysts to ask complex, deal-specific questions via chat — and receive prompt, cited, accurate answers.
- Ensures responses are correct, truthful, and free from hallucinations.
- Future-proofs your stack by avoiding lock-in and seamlessly adopting new AI models as they emerge.
With deepset, underwriting time is reduced from weeks to hours. Analysts spend less time composing memos and more time making decisions. Teams scale throughput by 2 to 3× without growing headcount while meeting compliance and audit standards.
The Future Looks Like Efficiency, Mitigated Risk & Cost Control
The deepset platform for AI in lending can double lending efficiency by transforming complex, document-heavy commercial lending processes into timely, intelligent, and auditable workflows with real results.
By automating document processing and integrating AI into end-to-end workflows, businesses with deepset typically see:
- 50% or more reduction in underwriting time.
- Substantial increases in deal throughput and operational efficiency.
- Improved customer satisfaction through faster loan approvals.
More importantly, this isn’t a one-off automation. With a compound AI foundation in place, customers are building long-term capabilities:
- A modular, future-proof AI stack that adapts as new models and technologies emerge.
- The ability to launch additional AI copilots and agents across business units.
- A scalable framework for transforming knowledge work beyond just underwriting.
In summary, teams freed from the manual effort of reviewing messy documents, extracting key data, and compiling credit memos are able to focus on strategic, high-value decisions.
With deepset, customers move from experimenting with AI in lending to operationalizing it — building solutions that create measurable business value in weeks, not quarters.
deepset’s AI in lending solutions deliver immediate efficiency gains while building long-term competitive advantage.
Learn more about our featured solution:
https://www.deepset.ai/products-and-services/deepset-ai-platform
Explore our open-source framework, Haystack
AWS Global Startup Program: The deepset Accelerator
As a participant in the AWS Global Startup Program, deepset is positioned to take advantage of the Amazon Web Services (AWS) industry-leading infrastructure, global reach, and shared commitment to helping enterprises scale secure, production-ready generative AI solutions. As AI adoption accelerates across industries, AWS provides the foundation for deepset to deliver real-world impact. Through the AWS-deepset Strategic Collaboration Agreement (SCA), deepset has deepened this partnership by integrating with Amazon Bedrock for access to high-performing foundation models for use cases such as intelligent document processing, retrieval augmented generation (RAG), and AI agents. Along the way, the deepset team has earned the AWS Generative AI Competency designation. This solid integration between deepset and AWS means customers can experience significantly reduced time-to-value—from prototype to production in weeks—while maintaining the flexibility, sovereignty, and control that these businesses require. In all, deepset with AWS infrastructure and enterprise-grade security means that companies in heightened security and compliance business domains can confidently deploy mission-critical AI workloads that solve crucial business problems.
About AWS Partner deepset:
Through its involvement as a Berlin-based innovator in the AWS Global Startup Program, deepset has become an industry leading AI technology and services provider that helps organizations build custom AI applications and agents that deliver measurable results, fast. The company’s enterprise AI platform, open-source Haystack framework, and deep solution expertise enable teams to create intelligent systems tailored to their most critical workflows. deepset partners with leading organizations across financial services, public sector, defense, and enterprise to deploy production-ready AI solutions at scale. This allows companies in these key industries to avoid the limitations of generic-one-size-fits-all approaches. One of deepset’s core focus areas is commercial lending where deepset helps banks streamline complex workflows, from underwriting to monitoring. By combining domain expertise with modular, future-proof AI infrastructure, deepset helps financial institutions realize value in weeks, not quarters, while building a strong foundation for long term innovation.
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