End Content Silos with Microsoft Syntex

Still combing through endless folders for the “right” version? We break down how Microsoft Syntex uses classifiers and extractors to auto-tag documents, unlock search and discovery, power automation with Power Platform, and simplify compliance/eDiscovery in Microsoft 365.

Who This Is For

• IT leaders, records managers, and compliance teams

• SharePoint/Teams admins fighting version sprawl

• Operations, finance, and legal teams buried in contracts/invoices

• Power Platform builders seeking reliable, structured inputs

The Problem (Why Silos Persist)

• Files live in too many places (SharePoint, OneDrive, Teams, inboxes).

• Inconsistent naming and versions bury critical context.

• Audits/eDiscovery become fire drills; automation can’t run on unstructured content.

How Syntex Fixes It

• Classify: Identify document types (e.g., invoice, NDA, MSA) from content—not filenames.

• Extract: Pull key fields (vendor, totals, dates, terms) into metadata automatically.

• Enrich: Store metadata with the file, sync insights across Microsoft Graph to light up M365.

• Activate: Use metadata to filter, secure, retain, and trigger Power Automate workflows.

What “Good” Looks Like

• Filter a library by Vendor = Contoso and Renewal = This Quarter—no manual hunting.

• Auto-route invoices by Amount; alert owners as Contract End Date approaches.

• Apply retention/legal hold via Purview using tags Syntex created—no extra data entry.

Real-World Patterns

• Contracts Hub: Classify agreements, extract Effective Date, Renewal, Risk Level → approval + renewal workflows.

• AP Invoices: Identify supplier, total, due date → route by thresholds, flag exceptions.

• NDA Discovery: Pull parties, jurisdiction, term → instant audit sets, no inbox spelunking.

Rollout Playbook

1. Target high-value content (contracts, invoices, policies).

2. Gather real samples (good + messy) for training.

3. Define fields that drive action (dates, amounts, owners, region).

4. Train & test classifiers/extractors; tune on edge cases.

5. Wire automation (approvals, escalations, reminders).

6. Bake in compliance (retention, sensitivity, DLP via Purview).

7. Measure and iterate (search time, audit prep time, workflow SLA).

Common Pitfalls (and Fixes)

• Template drift: Standardize current templates; retrain models on real variations.

• Library sprawl: Consolidate, align content types/columns, and set owners.

• User pushback: Show faster search + fewer clicks; keep fields business-relevant.

• Silent failures: Monitor extraction accuracy; add QA views and exception queues.

Measurable Wins

• Search time drops from minutes to seconds with metadata filters.

• Fewer copy-paste errors; workflows trigger on reliable fields.

• Faster, defensible audit responses (targeted sets instead of manual hunts).

Architecture at a Glance

• Ingress: Files land in SharePoint libraries.

• Understanding: Syntex classifies & extracts → writes metadata to columns.

• Activation: Power Automate, Teams notifications, dashboards consume metadata.

• Governance: Purview uses tags for retention, holds, and DLP.

Quick FAQ

• Do I need ML skills? No—models are trained by example with real files.

• Does it only help SharePoint? Benefits surface across Microsoft 365 via Graph.

• What about legacy PDFs/scans? Start with highest-value sets; add more as accuracy proves out.

• Will users still need to tag? Syntex automates most tagging; keep any manual fields minimal.

Action Items

• Pick one document type with high audit or cycle-time pain.

• Define 5–8 fields that drive decisions.

• Train Syntex on 30–50 real samples (include edge cases).

• Launch a pilot + dashboard: measure search time, approval time, audit prep.

• Scale to adjacent libraries once accuracy >90%.