SourceTrust | Evidence Scoring for AI Agents | R.A.H.S.I. Framework™ Analysis
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SourceTrust | Evidence Scoring for AI Agents | R.A.H.S.I. Framework™ Analysis
SourceTrust scores AI agent evidence across Microsoft 365, SharePoint, Graph, Teams, OneDrive, Purview, lifecycle, and eDiscovery.
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AI agents are moving from answer generation to enterprise evidence work.
They can reason across SharePoint sites, OneDrive files, Teams conversations, meeting transcripts, Microsoft Graph data, and governed Microsoft 365 content.
That shift is powerful.
But it creates a new trust question:
🛡️ Can we trust the evidence behind the agent’s answer?
A response may look accurate.
But the evidence may be weak.
The file may be outdated.
The transcript may lack context.
The SharePoint source may be over-shared.
The OneDrive document may be personal, duplicated, or stale.
The Teams record may not prove the claim.
The Graph permission may expose more than the agent needs.
This is why the R.A.H.S.I. Framework™ positions SourceTrust as an evidence-scoring layer for AI agents.
Its job is to score whether enterprise evidence is fit for agentic reasoning.
🛡️ | SharePoint
Collaboration and knowledge evidence.
🛡️ | OneDrive
User-owned file evidence.
🛡️ | Teams
Conversation and meeting evidence.
🛡️ | Microsoft Graph
Programmatic evidence access.
🛡️ | Microsoft Purview
Compliance, lifecycle, governance, and eDiscovery evidence.
Why Access Is Not Trust
Access is not the same as trust.
SourceTrust asks:
- Is the source authoritative?
- Is it current?
- Is it governed?
- Is it discoverable?
- Is it retained correctly?
- Is it scoped to the right user, team, site, meeting, or case?
- Does the evidence actually prove the claim?
- Can the evidence chain be audited later?
The deeper risk is not that AI agents use no sources.
It is:
AI agents using weak evidence with strong confidence.
For Microsoft 365, the next governance layer is clear:
Do not only ask whether an agent can access content.
Ask whether the content deserves to become evidence.
🛡️ R.A.H.S.I. Principle
AI agents are not trusted because they cite sources.
They are trusted when every claim survives:
Authority + freshness + scope + governance + evidence-integrity review
Final Thought
As agents become part of Microsoft 365 workflows, evidence must be scored before it influences decisions.
The future of trusted AI is not only retrieval.
It is retrieval with evidence accountability.
That is the missing governance layer.
That is SourceTrust.
🛡️ R.A.H.S.I. Framework™ | SourceTrust | AI Agents | Microsoft 365 | SharePoint | Graph | Purview
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