Automated Due Diligence

Problem Statement

Due diligence is manual, inconsistent, and time-consuming across internal teams and vendors.

Companies rely on web searches and fragmented sources to vet vendors, often missing fraud or credibility signals.

No standard system to categorize vendor risk (high/medium/low) or flag red alerts in real-time.

Ad hoc due diligence efforts are disconnected from ongoing procurement processes and lack auditability.

Manual review of unstructured documents (contracts, KYC, compliance files) leads to delays and human error.

Solution

Centralized platform that automates due diligence using digitized workflows and LLMs.

Auto-extract and summarize key risk data from documents (contracts, legal, financials, KYC) using OCR + NLP.

LLMs scrape and analyse open web, news, and watchlists to detect vendor red flags and fraud signals.

Automatically classify vendors into high, medium, or low risk, with contextual evidence.

Support automated and ad hoc due diligence, with dashboards, alerts, and audit trails for all actions taken.

Business Impact

75% faster turnaround in vendor and internal due diligence cycles.

Prevents fraud-related losses and compliance penalties through early risk identification.

Reduces manual workload by 60% across purchase, legal, and compliance teams.

Scales due diligence to handle 100s of vendors or contracts with minimal team increase.

Strengthens audit readiness and builds a repeatable framework for organizational risk governance.