End-to-end automation that turns vendor intake into a structured risk report.
The AI agent automates vendor due-diligence from intake to export. It gathers background information, parses documents, and scores risk using live data. It exports findings to Google Sheets and notifies stakeholders for fast, auditable decisions.
Performs end-to-end vendor risk research and reporting.
Collect vendor intake details via a simple form.
Background research on the vendor using live data sources.
Parse and extract policies, terms, and trust pages with Gemini.
Identify and validate public URLs for privacy, security, and trust pages.
Compute a structured risk score and narrative based on content.
Export results to Google Sheets and share with stakeholders.
Before, due-diligence is manual and slow; after, it's automated, auditable, and faster to review. This AI agent consolidates data collection, analysis, and reporting into a repeatable process.
A simple 3-step AI agent flow that non-technical users can follow.
Capture vendor name, use case, and data types via an intake form.
Gather background information and parse key documents with Gemini and live data.
Generate a structured risk score and export results to Google Sheets for review.
One realistic scenario.
Scenario: A procurement team needs to vet a cloud vendor on short notice. Task: Run the AI agent to intake vendor X, gather background, extract policy URLs, compute risk score, and export results. Time: 25 minutes. Outcome: An auditable risk dossier in Google Sheets.
One supporting sentence.
Streamline risk assessments with auditable evidence and standardized reporting.
Quickly validate security posture using documented policies and disclosures.
Onboard vendors with proven, repeatable due-diligence records.
Automate evidence collection and risk-trend tracking.
Maintain audit-ready vendor dossiers for regulatory reviews.
Vet vendors without a dedicated security team and accelerate onboarding.
One supporting sentence with short explanation.
Structured parsing and extraction of risk-relevant data from vendor content.
Live web data retrieval to support background research and content freshness.
Export and organize final reports with audit-ready records.
Six practical scenarios showing concrete value.
One supporting sentence with short explanation.
It can vet SaaS and cloud vendors by collecting public information such as privacy policies, terms, and security disclosures. The agent uses live data to form a comprehensive risk view and generates an auditable report. You can customize questions to match internal risk frameworks, and export to Google Sheets for governance and audits.
The AI agent is designed to run on a self-hosted platform if your organization requires on-premise data processing. It relies on Gemini and Jina AI for data extraction and live retrieval, and exports results to Google Sheets for review. You can configure credentials and access controls to meet compliance.
It uses public vendor disclosures, privacy policies, terms of service, trust pages, and other publicly accessible content. The data is combined with structured parsing to produce a unified risk report. You can adjust source weighting to reflect your risk model.
Yes. The risk scoring uses a defined rubric that maps content to risk factors and includes an auditable rationale. The agent logs steps and sources used to derive the score, enabling replay and validation during audits.
The results are exported to Google Sheets and can be shared with stakeholders. The sheet includes source links, extracted data points, and the computed risk score. It can be scheduled for automated generation or triggered on demand.
Yes. Prompts and risk questions can be adjusted to align with your internal vendor risk framework. This customization ensures outputs match your governance standards and reporting templates.
The AI agent respects access controls and credential management configured in your deployment. Data sources are accessed through secure channels, and results can be restricted to authorized users. Audit trails are preserved for compliance.
End-to-end automation that turns vendor intake into a structured risk report.
