InSight DXP

Digital Commercial Lending

Scaling commercial lending with agentic AI and automated financial spreading software
Digital banking

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Empower credit analysts with specialised commercial lending AI agents

Financial institutions can significantly reduce manual processing latency and optimise credit decisioning through specialised agents that automate document digitisation, map critical financial risk matrices, and generate comprehensive, audit-ready credit reports. This collaborative digital workforce drives efficiency and precision while keeping analysts in control of final approvals.

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Drive defensible decisions with high-precision spreading

Achieve ~99% extraction accuracy with human-in-the-loop (HITL) verification. Operating through grounded HITL governance , the system identifies borrower risk proactively while providing full traceability and explainable logic. 

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FAQs

How does Digital Commercial Lending software increase our lending throughput without forcing us to hire more analysts?

Between 70% and 80% of an analyst’s time is traditionally consumed by manual data preparation, such as copying information from tax returns into spreadsheets. By deploying this advanced digital lending software, process-aware AI agents automatically handle document ingestion, extraction, and mapping. Implementing this automated financial spreading software eliminates the administrative bottleneck, accelerating credit memo generation and allowing your existing team to focus on critical credit judgment and relationship management. You can seamlessly scale loan volumes and shorten decision cycles while optimising your operational overhead.

How does the AI ensure its calculations are accurate and auditable?

The platform is built on strict transparency and AI grounding principles rather than acting as an unexplainable "black box". Every automated extraction and ratio calculation is tied directly to the source documents via a verifiable audit trail, allowing analysts to click a metric and instantly see its origin. Operating within your institution’s exact credit policy guardrails and approval structures , the system achieves ~99% data extraction accuracy by incorporating an Analyst-in-the-Loop (AITL) verification gate before any downstream calculations occur.

Will implementing this require a costly "rip-and-replace" overhaul?

No. Unlike traditional enterprise software, our commercial lending solution features a system-agnostic architecture. It does not force your bank to change its core systems or infrastructure; instead, it acts as the "connective tissue" that pulls and standardises data from your legacy systems, cloud environments, and third-party applications via REST APIs, SFTP, or flat files. Furthermore, it is fully modular, meaning you can integrate your own existing risk engines and risk modeling software bi-directionally or choose to implement the platform's individual modules selectively.

What differentiates Iron Mountain’s approach from generic AI software in commercial lending?

Digital Commercial Lending stands out by offering a highly tailored, transparent, and flexible framework designed specifically for the complexities of banking operations. By transforming how you ingest and analyse paperwork, this intelligent commercial loan documentation software delivers key differentiators including:

  • Context-aware financial analysis: Unlike generic large language models, Iron Mountain AI agents interpret complex financial documents in the context of commercial lending workflows, including trial balances, borrower statements, and covenant analysis.
  • Embedded policy guardrails: AI-driven analysis operates safely within your institution’s specific lending policies, approval structures, and risk tolerances.
  • Explainable decisioning: Analysts maintain complete visibility into how recommendations are generated, supporting internal governance, auditability, and regulatory alignment.
  • Configurable lending intelligence: The software adapts seamlessly to your unique financial spreading structures, ratios, covenants, and underwriting requirements to help ensure consistency across lending operations.
  • System-agnostic architecture: The software integrates across your existing legacy systems, cloud environments, and third-party applications to create a unified view of borrower and portfolio data without requiring a core system overhaul.

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