AI Vendor Packet
IndexableEvidence packetLast reviewed 2026-05-21

How to build a vendor monitoring evidence packet

A vendor monitoring evidence packet should be short enough to repeat and specific enough to satisfy an auditor or customer reviewer. It should show sources checked, potential drift found, decisions made, and open owners.

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Workflow steps

4 practical steps

Records to keep

3 examples

Source links

4 official sources

Step-by-step process

Step 1

Set a review population

Start with critical vendors that process customer data or support customer commitments. Keep Tier 2 vendors in view, but do not force deep issue pages where sources are not strong enough.

Step 2

Record source checks

List official source URLs checked, last reviewed date, status, and any source that failed or needs manual review.

Step 3

Summarize findings

For each potential drift item, name the customer commitment, affected vendor, evidence source, materiality, reviewer, and next action.

Step 4

Close with decisions

The record should say what changed, what did not require action, what remains open, and who owns each open issue.

Records to keep

  • A one-page AI vendor monitoring evidence packet.
  • A SOC 2 vendor review evidence table.
  • A drift register with carry-forward rows for unresolved items.

Where mistakes happen

  • Only documenting changes and not documenting the review itself.
  • Using raw source-change text as the evidence packet without a human review decision.
  • Leaving open findings without owner or due date.

Lightweight version

For a startup, run a 30-minute review when evidence is needed and keep a table with vendor, sources checked, findings, decision, owner, and next review date.

More mature version

For a mature team, connect monitoring evidence packets to evidence exports, finding review records, customer-specific exceptions, and board or audit reporting.

Source links

These are starting sources for the examples in this guide. Review the vendor page for scope and limitations before changing customer commitments.

Data controls in the OpenAI platformhttps://platform.openai.com/docs/guides/your-dataOfficial sourceData protection in Amazon Bedrockhttps://docs.aws.amazon.com/bedrock/latest/userguide/data-protection.htmlOfficial sourceSlack Securityhttps://slack.com/securityOfficial sourceZendesk Data Processing Agreementhttps://www.zendesk.com/company/data-processing-agreement/Official source

Related templates

AI vendor monitoring evidence packet templateUse this packet to show what sources were reviewed, what changed, and which customer commitments need follow-up. It is built for a short review meeting, not a long risk committee packet.SOC 2 vendor review evidence templateUse this template to turn a vendor source review into an audit-ready record. It is intentionally narrow: vendor, source, commitment, finding, reviewer, and follow-up. It does not decide whether the vendor is acceptable.Vendor commitment drift registerUse this register as the working list for vendor changes that may affect customer promises. It is not a risk score. It is a way to avoid quiet drift.

Related vendor pages

OpenAIReview OpenAI API, DPA, privacy, subprocessors, retention, and model training sources for SaaS customer commitments.AWS BedrockReview Amazon Bedrock data protection, abuse detection, AWS service terms, and security sources for SaaS AI commitments.SlackReview Slack privacy, terms, DPA, security, and data-use sources for SaaS customer commitments.ZendeskReview Zendesk privacy, terms, DPA, security, and data-use sources for SaaS customer commitments.

Generate a review packet from this workflow.

Select your vendors, data categories, and customer commitments. AI Vendor Packet turns the workflow into evidence your team can review.

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