Third-party review · AI suppliers

Third-Party AI Risk & Vendor Governance

Vendor governance holds only when intake evidence, contract conditions, monitoring triggers, exceptions, and exit duties stay attached to the same supplier decision.

A vendor can reach contracting while its data use, model changes, subprocessors, and exit duties are still spread across separate reviews. We connect the intake decision to evidence, approval conditions, monitoring, exceptions, and a practical exit path with named owners. The supplier decision sits in one place. Procurement and risk owners work from the review pack, supplier-claim inventory, due-diligence exception report, and a handoff record naming who monitors and who runs the exit.

Review your vendor processSee governance advisory
Illustration of Third-Party AI Risk & Vendor Governance: a team reviewing AI policy and risk controls in a governance framework

Some of the 500+ brands we've worked with

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  • Bayer
  • Sigortam.net
  • Tosla
  • Vitra
  • Isuzu
  • Akşam
  • Amazon
  • BMW
  • Shell
  • Hyundai
  • PepsiCo
  • Red Bull
  • Decathlon
  • MediaMarkt
  • Sanofi
  • EY
  • KPMG
  • GE
  • 3M
  • Domino’s
  • Lexus
  • Trendyol
  • Hepsiburada
  • Yandex

The run order, and who signs each step off

How we work

We design the intake so its evidence and conditions can survive the contract signature. Monitoring owners, change triggers, exceptions, and exit duties remain linked to the original vendor decision.

  1. Decide which vendors enter review

    The intake standard sets the third parties covered, the signals that determine review depth, the decision owner, and the evidence expected for each risk tier. It also captures the vendor's stated data and action boundaries. Your procurement owner confirms the intake captures the vendor relationship that will actually be contracted.

  2. Put claims beside their evidence

    We review vendor statements with the available technical and operational evidence, subprocessors, exceptions, and dependencies on your own systems. A claim without representative evidence remains unresolved. Your risk owner decides which unresolved claims block or condition the vendor decision.

  3. Make each approval condition checkable

    Material risks are connected to proposed contract controls, approval conditions, owners, escalation routes, and later review triggers. Qualified legal reviewers retain the drafting and interpretation of contract terms. Your legal and risk owners approve the meaning, wording, and checkability of every contract condition.

  4. Plan for change and exit

    The operating plan covers monitoring signals, review dates, exception handling, fallback responsibility, data return or deletion, and the steps required to leave the vendor. Ownership is assigned before a critical condition fails. Your risk owner assigns who responds to change, exception, failure, and exit events.

Named artifacts you keep

What you get

The review pack keeps the decision connected to the evidence, conditions, exceptions, monitoring duties, and exit responsibilities that justified it.

  • Risk register

    Vendor risk standard and review pack

    Intake criteria, risk tiers, due-diligence questions, required evidence, approval conditions, and the completed review record.

  • Matrix

    Vendor claims, subprocessors, and dependency inventory

    Vendor evidence, unresolved claims, subprocessors, client dependencies, assumptions, and the date each item expires or returns to review.

  • Test evidence

    Due-diligence claim gaps and exception report

    The claims tested, missing or conflicting evidence, critical exceptions, and conditions raised during due diligence.

  • Playbook

    Contract conditions, monitoring, and exit handoff record

    The approval or rejection, conditions, contractual controls, monitoring owners, review triggers, fallback, and exit duties.

Scope and honest limits

When to bring us in

Choose this when AI vendor review follows inconsistent questionnaires and no one owns later change, exception, monitoring, or exit decisions.

A good fit when

  • Procurement teams ask the same supplier different questions, so comparable vendors arrive at contracting with different evidence records.
  • A contract includes AI controls, but they do not match the supplier's real data use, actions, monitoring needs, or risk tier.
  • A supplier is approved, but no one owns model changes, open exceptions, monitoring triggers, or the work required to exit.
  • Vendor intake exists, yet the criteria that decide which AI suppliers need deeper review change from buyer to buyer.
  • The due-diligence evidence is collected, but unresolved claims, subprocessors, client dependencies, and expiring assumptions are not kept together.
  • A material vendor risk is known, but no proposed contract condition says how the owner will check it after signature.
  • The supplier is monitored, but model changes, exception escalation, fallback responsibility, and exit duties do not return to the original decision.

Better handled as other work when

  • You need legal drafting, contract execution, or regulatory approval. Qualified legal and procurement authorities retain that work.
  • You need a guarantee that the supplier's statements and evidence are complete and accurate. Due diligence can only record what was disclosed and checked.
  • You need procurement, monitoring, or vendor replacement operated after handoff. Ongoing ownership requires a separately agreed service.

If one of these is closer to your situation, start here instead: See governance advisory

Advice from people who build

We've worked with more than 500 brands since Zeo started in 2011. The people helping you decide where AI fits, and where it doesn't yet, are senior engineers and strategists who build and operate production AI systems. The advice stays grounded in work that actually shipped.

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Tools we use

Tools behind this work

  • Credo AI

    the vendor portal that collects evidence directly from the vendor against a named policy

  • Mindgard

    the discovery scan that finds AI embedded in a vendor's product beyond what they disclosed

Next step

Keep the vendor decision attached after signature

Start with the supplier record, intended use, evidence, and proposed conditions. The review connects intake, approval, monitoring, exceptions, and exit in one owned path.
Review vendor governance

Before you decide

Questions we hear a lot

What should we provide for a vendor review?

Bring your current intake and due-diligence material, proposed contract controls, vendor evidence, subprocessor information, data and system dependencies, known exceptions, monitoring records, and exit constraints. The people authorized to approve or reject the supplier need to take part.

Can AI score or approve the vendor?

A model may arrange approved evidence, compare responses, and flag missing or contradictory claims. A Zeo specialist verifies that analysis. It cannot accept vendor risk, approve a contract, interpret legal terms, or decide that an exception may remain open.

How do you know the vendor decision is ready?

The agreed intake and control gates need supporting evidence. Critical exceptions must be closed or explicitly conditioned. Every open contract condition needs an owner. Monitoring and exit responsibilities also have to be assigned before the handoff is complete.

Does due diligence remove third-party AI risk?

Due diligence records the evidence, assumptions, controls, exceptions, dependencies, and owners available at review time, while later vendor changes can still invalidate the approved tier.