AI Agents

Context

Built for banking within the SME/Corporate underwriting — financial insights stack, this agent consolidates approved external market intelligence into a concise report that underwriters can use alongside financial diagnostics. It’s used at origination and renewal to anchor the credit narrative in current sector conditions, peer dynamics, and near-term outlook before files advance to committee.

What it does

The agent ingests borrower-relevant market sources from your approved catalogue and compiles an evidence-linked brief that frames demand trends, input cost pressures, labor and logistics conditions, regulatory shifts, and peer dynamics. It aligns each point with the borrower’s KPIs, highlights where market signals corroborate or contradict recent performance, and produces exhibits and short rationales that can be dropped directly into the credit pack with line-of-sight to source.

Core AI functions

Source selection and de-duplication from the institution’s approved feeds; topic and entity extraction tuned to the borrower’s sector; normalization and summarization into plain-language takeaways; alignment of market statements to the borrower’s KPIs and recent trends; and provenance tagging so every claim cites the underlying source and date. Version awareness ensures the report reflects the current period’s publications.

Problem solved

External context is often assembled ad hoc, leading to uneven quality, stale citations, and weak linkage between market conditions and the borrower’s numbers. Reviewers waste time checking sources and reconciling contradictory snippets.

Business impact

Credit narratives become clearer and more defensible: committees see how performance sits within current market conditions, forward assumptions are grounded, rework drops, and decisions benefit from a consistent, sourced view of sector realities.

Integration and adjacent use cases.

Integration complexity is medium: connect the agent to your standardized KPI outputs and the institution’s approved market/sector sources, then write the report, exhibits, and citations back to the underwriting workbench or credit pack; no core changes are required.

Common combinations include:

• Balance sheet extractor to standardize inputs,

• Financial mapping validator to prevent ratio drift,

• KPI trend scanner to explain recent movements,

• Interdependency checker to test coherence across metrics,

• KPI forecaster to carry the outlook into scenarios,

• Market pulse aligner to benchmark against peer bands, and

• Credit memo generator to insert the report’s exhibits and citations directly into the memo.