Global supply chains are evolving faster than traditional due diligence workflows can support. Analysts must navigate fragmented public records, inconsistent disclosures, and region-specific data systems — all while responding to rising expectations across ESG, sanctions, corporate governance, labor compliance, cybersecurity, and financial transparency.
The result? Due diligence has become one of the most time-consuming and resource-intensive steps in supplier onboarding, M&A screening, and third-party risk management.
SupplyGraph AI’s Automated Due Diligence Agent was designed to address these challenges by transforming manual research into a structured, repeatable, and scalable intelligence process.
The Pain: Why Traditional Due Diligence Fails at Scale
Even for a single supplier, analysts often spend 10+ hours manually compiling information from numerous sources:
- Corporate registration and identity records
- Ownership and shareholder structures
- Legal filings, regulatory actions, and sanctions
- Intellectual property portfolios
- Financial disclosures
- Workforce, operations, and business scope
- ESG-related or governance-related signals
The complexity increases as organizations expand across markets or face stricter compliance requirements.
Common issues include:
- Slow and inconsistent information gathering
- Outdated reports due to static snapshots
- Limited visibility across jurisdictions
- High operational cost
- Fragmented data formats
These gaps introduce delays, blind spots, and elevated risk exposure.
The Breakthrough: Automated, Structured, and Continuously Refreshed Due Diligence
The Due Diligence Agent consolidates globally dispersed corporate information into a unified, structured, and evidence-linked intelligence report.
Behind the scenes, it:
- Resolves company identity across global registries
- Structures information into standardized due-diligence modules
- Extracts legal, financial, IP, operational, and compliance-related signals
- Benchmarks companies using more than 8,000 statistical industry matrices
- Refreshes data on a rolling update cycle, ensuring reports incorporate the latest available information
From the user’s perspective, the process requires only:
- Enter a company name
- Confirm the matched entity
- Receive a comprehensive (or chapter-specific) report in minutes
No custom integrations, no manual aggregation.
What the Report Contains
Each report follows a consistent structure designed for procurement, legal, and compliance workflows.
You receive intelligence covering:
- Corporate registration & identity
- Ownership & shareholding structure
- Subsidiaries and affiliated entities
- Legal, regulatory, and enforcement records
- Intellectual property holdings
- Financial statements (where publicly available)
- Digital presence & brand indicators
- Government programs, subsidies, or violations
- Competitive and industry benchmarking
Users may also request specific chapters only when a narrower scope is needed.
Why SupplyGraph AI?
SupplyGraph AI is powered by a global supply-chain intelligence graph built from:
- 100M+ companies worldwide
- 1M+ products and operational entities
- 8,000+ industry benchmarking datasets
This allows the system to produce due diligence intelligence that is:
- Evidence-linked — every insight traces back to sourced information
- Context-aware — enriched with industry and peer-group context
- Continuously refreshed — updated on a rolling cycle
- Designed for enterprise use — consistent, structured, and audit-friendly
Importantly, the system does not require uploading proprietary or internal corporate data.
Try the Automated Due Diligence Workflow (Live Demo)
Before integrating through API, you can experience the workflow via our interactive chatbot:
Live Demo:
https://supplygraph.ai/zk_chat_os/agentic/dialog.html?name=due_diligence_report
You can:
- Enter a company name in natural language
- Confirm the correct entity
- Generate a full or chapter-specific due diligence report
- Preview the structure and clarity of the generated intelligence
To access the demo:
- Create a SupplyGraph AI account
- Top up your credit balance
The chatbot uses the same A2A agent described in the developer documentation.
Developer Section: A2A API Overview
SupplyGraph AI provides a programmatic interface for embedding due diligence intelligence into procurement platforms, compliance workflows, or internal automation systems.
Endpoints
| Endpoint | Method | Description |
|---|---|---|
/api/v1/agents/due_diligence_report/manifest |
GET | Retrieve metadata, schema, pricing, version info |
/api/v1/agents/due_diligence_report/run |
POST | Start or manage tasks |
Run Example
curl -X POST https://agent.supplygraph.ai/api/v1/agents/due_diligence_report/run \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-H "Content-Type: application/json" \
-d '{ "text": "Tesla, Inc. United States", "stream": false }'
If confirmation is required:
{
"code": "WAITING_USER",
"data": {
"content": "Here are the companies we’ve identified... Please reply Yes or No."
}
}
Retrieve Results
curl -X POST https://agent.supplygraph.ai/api/v1/agents/due_diligence_report/run \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-d '{ "mode": "results", "task_id": "<task-id>" }'
Build Your Own Workflows
The Due Diligence Agent integrates with:
- SupplyGraph A2A protocol
- Python SDK
- Event-driven automation workflows
- Multi-step investigation pipelines
SDK Repository:
https://github.com/SupplyGraphAI/supplygraphai_a2a_sdk
From Manual Research to Continuous Intelligence
Compliance expectations are rising. Supply chains are expanding. Third-party risk is accelerating.
Organizations that rely on manual research will fall behind.
Organizations that automate intelligence will move faster, operate safer, and make better decisions.
The Automated Due Diligence Agent helps teams transition from fragmented, static reporting to continuous, structured, and scalable supplier intelligence.
If this article was helpful, follow us on dev.to and GitHub for future deep dives into the SupplyGraph AI ecosystem.
GitHub → https://github.com/SupplyGraphAI
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