Microsoft 365 and Copilot readiness
- SharePoint and Teams permissions
- Purview labels and sensitive data
- Stale content and source ownership
Estate to evidence
Turn estate noise into evidence AI can trust.
Your estate already holds the evidence AI needs. Tesrex cleans permissions, lifecycle data and telemetry so governance evidence is ready before the model prepares work.
Copilot source qualityCisco lifecycleSecure AccessRAG boundariesReviewer evidence
Turn messy estate data into evidence AI can trust.
Before an AI workflow can prepare useful work, the estate has to show which sources are approved, which permissions are safe, which records are current and where reviewers must intervene.
The goal is not another audit. It is an evidence layer the workflow can retrieve, cite and route for review.
Estate dataMicrosoft 365, Cisco, security, network and collaboration records.
Evidence layerSource boundaries, permission hygiene, RAG readiness and reviewer packs.
Governed outputsClean sources, evidence pack, review queue and modernisation route.
What Tesrex assesses.
Four estate layers decide whether AI workflows retrieve clean evidence or amplify noise.
Cisco estate and lifecycle
- Serials, contracts and licensing
- Software and support posture
- Lifecycle and renewal evidence
Security and access posture
- Entra identity context
- Secure Access candidates
- Exposure and exception paths
Network and collaboration telemetry
- Assurance and RCA evidence
- Webex and collaboration records
- Usage, owners and service context
What leadership gets back.
A practical estate to evidence workpack: where AI can rely on the estate now, what must be cleaned first and which modernisation moves unlock the next workflow.
Locate the records and platforms that already explain the work.
Separate approved evidence from noisy, stale or overexposed material.
Make sources usable for RAG, evidence packs and reviewer queues.
Fix the estate areas that block trustworthy AI workflows.
Turn estate noise into usable evidence.
We will identify the platform records, permissions, lifecycle data and governance gaps that need cleaning before AI can rely on them.