Deployers remain liable even when the model comes from OpenAI, Microsoft, or Salesforce. VDF AI Compliance scores vendors, maintains a risk register, and enforces approved lists for regulated workflows.
For Vendor Management or Procurement Lead, apply Third-party AI vendor due diligence under EU AI Act Article 28 so that vendor AI Risk Register scored against EU AI Act Art. 28 within a single quarter, while meeting on-premise data sovereignty and human sign-off.
Score your own use caseEU AI Act Article 28 places compliance obligations on deployers of high-risk AI — even when the model is third-party. Standard SaaS contracts do not cover these obligations. Most companies have no vendor AI risk program.
Collect public compliance evidence for each vendor, deliver structured questionnaires on risk classification, bias testing, data governance, and incident notification, then score results against an Article 28 rubric. Approved vendor lists feed directly into deployment policies.
Gathers public documentation, certifications, and compliance statements.
Structured due diligence covering bias, governance, oversight, and logging.
Scores each vendor against EU AI Act Article 28 requirements.
Maintains Vendor Risk Register and approved vendor policy lists.
Addresses EU AI Act Art. 28, Art. 55, DORA Art. 30, and ISO 42001 Clause 8.6 with scored profiles and evidence links.
Data readiness is the most common hidden blocker in enterprise AI. Before this agent network ships, score the smallest set of inputs it needs across four gates.
Records and files across Procurement systems, Vendor management platforms, Contract repositories, and Policy enforcement tools must exist digitally, with enough historical depth, and be programmatically retrievable — no manual exports.
Tolerant of moderate noise: a human reviews each output, so completeness and recency matter more than perfect labeling.
Batch retrieval is sufficient: updated policies and source content propagate to the vector store on a scheduled cadence.
Sensitive and personal data is redacted locally before agent ingestion; all processing stays on-premise or in your private cloud, with full audit logging and retention controls.
Net value subtracts the recurring run costs: token/compute fees, LLMOps monitoring, safety filtering, and continuous prompt upkeep.
The VDF AI hook: because the Self-Evolving Model Router (SEEMR) routes each task to the smallest capable model instead of one large public LLM, Ccompute drops 40–60% versus cloud AI platforms — and licensing is only 20–35% of true total cost of ownership anyway.
A practical view of where this workflow breaks, how VDF AI handles it, and what the governed agent stack looks like in production.
Deployers remain liable even when the model comes from OpenAI, Microsoft, or Salesforce. VDF AI Compliance scores vendors, maintains a risk register, and enforces approved lists for regulated workflows.
EU AI Act Article 28 places compliance obligations on deployers of high-risk AI — even when the model is third-party. Standard SaaS contracts do not cover these obligations. Most companies have no vendor AI risk program.
Collect public compliance evidence for each vendor, deliver structured questionnaires on risk classification, bias testing, data governance, and incident notification, then score results against an Article 28 rubric. Approved vendor lists feed directly into deployment policies.
Addresses EU AI Act Art. 28, Art. 55, DORA Art. 30, and ISO 42001 Clause 8.6 with scored profiles and evidence links.
The workflow is designed to produce measurable operational gains without losing enterprise control.
Typical integrations include Procurement systems, Vendor management platforms, Contract repositories, Policy enforcement tools. VDF AI can connect this workflow to adjacent use cases across the same business domain while keeping data, decisions, and review steps governed.
In-house AI agents let enterprises build controlled AI capability without creating a large model engineering team. VDF AI Networks supports private deployment, domain knowledge, and governed agent workflows inside existing infrastructure.
Read Use CaseMisclassification exposes organisations to fines up to €35M or 7% of global revenue. VDF AI Compliance delivers regulation-grounded risk tier decisions with audit-ready rationale.
Read Use CaseOnly 18% of organisations have a governance council with real authority. VDF AI Compliance generates the operating model — charter, RACI, risk appetite, and approval lifecycle — in days.
Read Use CasePractical answers for teams evaluating this workflow across security, operations, and deployment.
Talk to an expertSystematic due diligence that scores third-party AI vendors against EU AI Act deployer obligations and maintains an audit-ready Vendor Risk Register.
Under Article 28, deployers of high-risk AI bear obligations regardless of who built the underlying model — vendor assessment is mandatory, not optional.
Yes — any AI-enabled SaaS where your organisation acts as deployer should appear in the vendor assessment program.
Approved vendor lists connect to deployment policies so regulated workflows cannot call unapproved AI services.
Describe your workflow and we will help map the right governed agent network for your environment.
Talk to Solutions Team