Automated Information Governance

Your all-in-one information governance software, built to search, classify, clean, and govern content where it already lives.

Over 1,000,000,000 files governed by Shinydocs.

Storage cost savings
35%
Backlog cleared in 12 months
20 Years
Return on investment
4.5X
Saved in year one
$408k
Files migrated
0

All-In-One Automated Information Governance Software

Shinydocs is an automated information governance software that searches, classifies, cleans, and governs content across systems, with no file migration required. Four capabilities run from a single platform: Enterprise Search, AI Data Classification, Data Remediation, and Information Lifecycle Management. Together, they give organizations full visibility and control over their information, reduce security risk and storage costs, simplify compliance, and improve staff productivity.

AI Data Classification

How it works

Context-aware AI evaluates each document based on content, metadata, and organizational rules to classify it appropriately. Only edge cases are surfaced for quick human review.

Data Remediation + File Cleanup

How it works

Shinydocs scans all repositories to identify duplicate, stale, and redundant, obsolete, and trivial (ROT) content. It destroys unneeded files according to your organization's rules, with a full audit trail.

Information Lifecycle Management

How it works

Shinydocs governs every file across your systems by automatically applying custom retention schedules. Daily scanning ensures that retention policies are enforced consistently.

How Shinydocs Governs Your Information Estate

Each step is logged, auditable, and runs without leaving the platform. No handoffs between systems, no manual tracking.

  1. Inventory + Enterprise Search

    Files in every repository are scanned, tagged, and scored. You can search for files across systems from one place.

  2. AI Data Classification

    High-confidence AI flags files, PII, and sensitive content across every connected system. ROT and duplicates are identified at the same time.

  3. Human Review Where It Counts

    Your team only sees the cases that actually need human verification.

  4. Data Remediation Cleans Your Systems

    Redundant, obsolete, and trivial content is disposed of with an audit trail. Storage costs drop and the right files surface.

  5. Information Lifecycle Management

    Retention schedules apply to every file automatically. Your retention policy becomes enforced reality, not documented aspiration.

Manual vs. Automated Information Governance

Manual governance depends on spreadsheets, manual review, and staff remembering the rules. Automated governance applies those rules continuously, across every connected system, without changing how teams work. The table below compares the manual and automated governance across the areas enterprise organizations ask about most.

Manual governance compared with automated governance across eight areas
Manual Governance Automated Governance
Spreadsheet reviews and periodic audits catch problems long after they start. Rules run daily and enforce themselves as content arrives.
Reissue the policy and hope every team adopts the change. Update the schedule once. It applies across every repository at scale.
Staff learn a new system and change how they work. Staff keep their existing tools. Nothing about their day changes.
Nothing gets deleted without a long approval chain. Defensible disposal and data minimization run against LAC and NARA aligned schedules.
Teams hunt across repositories for days or weeks. Responsive records surface in minutes for ATIP and FOIA.
You find PII after a breach or an audit finds it first. PII and PHI are flagged on discovery, cutting HIPAA and PIPEDA exposure.
Every audit becomes a scramble across several teams. An exportable audit trail is ready on demand.
Reviewers sample a fraction of the content estate. Every file in every connected repository gets scanned.

Regulatory references reviewed: July 2026

Calculate Your Return on Automated Information Governance

Shinydocs offers three free calculators that quantify the cost of ungoverned content: cyber-security risk exposure, AI readiness, and storage savings. Each takes a few minutes and returns figures based on your repository size and current governance coverage. Use the results to build an internal business case before you speak to us.

What Problems Does Shinydocs Solve?

Shinydocs solves eight problems that unstructured content creates at enterprise scale. Content nobody can find. ROT nobody clears. Retention nobody enforces. Sensitive files nobody has located. Storage nobody can justify. Requests nobody can answer fast. AI drawing on all of it. Each line pairs a problem with its fix.

  • Content scattered across every system

    Search every repository at once

  • ROT piling up year after year

    Defensible disposal with a full audit trail

  • Retention that exists only on paper

    Schedules enforced every single day

  • Sensitive files in unknown locations

    PII and PHI flagged automatically

  • Storage costs you cannot justify

    35% less storage spend

  • AI reading ungoverned content

    AI reads governed content only

  • Teams spending hours looking for files

    Files found in seconds

  • Audits and information requests take months

    Responsive records in minutes

Five Steps to Automating Your Information Governance

Automated information governance uses smart software and artificial intelligence to discover, classify, secure, and manage data automatically. It replaces slow manual checks and spreadsheets with real-time rules. Those rules protect private files and clear digital clutter across every repository. The five steps below show how organizations get there.

  1. Map Your Environment and Score the Risk

    Inventory every repository, then score each one for exposure. You cannot govern content you have not found.

    63% of organizations do not have, or are unsure they have, the right data management practices for AI. Gartner, 2025

  2. Align Your Team and Pick the Pilot

    Name a program owner, attach governance to a funded initiative, and start with your highest-risk repository. Prove the result before you scale.

    By 2027, 80% of data and analytics governance initiatives will fail without a real or manufactured crisis. Gartner, 2024

  3. Automate Classification, Disposal, and Metadata

    Retention rules apply themselves and ROT is disposed of with a full audit trail. Accurate metadata keeps every file findable. Your team stops doing manual review.

    Only 49% of incoming information carries enough metadata to manage it effectively. AIIM, 2019

  4. Add AI While Your Team Keeps Control

    AI classifies at scale, and governance controls what your AI tools can reach. Your reviewers keep the final say on genuine edge cases.

    Through 2026, organizations will abandon 60% of AI projects that are not supported by AI-ready data. Gartner, 2025

  5. Measure and Improve

    Track four numbers: assets classified automatically, time from ingestion to validation, violation resolution rate, and audit preparation effort.

    Fewer than 10% of enterprises reach advanced insights-driven capabilities, with governance the key differentiator. Forrester, 2023

* Information governance is never finished. Regulations change and content keeps arriving. Shinydocs runs continuously in the background, so governance holds without your team going back to step one.

Shinydocs co-sponsored this AIIM Industry Watch research alongside Box, Hyland, and Iron Mountain. Step framework adapted from Accessible AND Secure: Best Practices for Automating Information Governance. Β© AIIM 2019, www.aiim.org. Each figure above links to its primary source.

Build the Information Governance System Your Team Deserves

Enterprise leaders often raise similar information governance concerns. If any resonate, you're in the right place.

We can't easily find what we need in our systems.

No visibility means no defensibility in audits, litigation, or regulatory review.

Every audit creates a scramble.

When records aren't governed automatically, every request becomes a manual crisis.

We're not ready for AI, and we know it.

AI works on clean, classified content. Feeding it messy data produces messy results.

We keep paying for storage we can't justify.

Duplicate, outdated, and trivial files inflate costs while hiding the content that matters.

Sensitive data is somewhere. We don't know where.

PII, PHI, and privileged content scattered across systems is a liability waiting to surface.

We forced a new system. People ignored it.

Governance that demands behaviour change doesn't stick. It must work where your files already live.

Your AI Is Only as Good as the Data Behind It

Ungoverned repositories produce unreliable AI results. Shinydocs cleans and classifies your content before it reaches Microsoft Copilot, RAG pipelines, or any enterprise AI tool. Governance runs continuously, so data quality never slips.

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Bad Data Corrupts AI Answers

AI can't tell which version is current. Shinydocs removes duplicates and superseded drafts before they ever reach your AI tools.

Misclassified Data Hides the Answer

When content is mislabelled, the right file never surfaces. Continuous classification keeps every document accurately labelled for AI.

Unprotected Data Is an AI Liability

Copilot surfaces whatever it can read. Shinydocs flags and restricts sensitive content so only the right people see it.

Testimonials from Enterprise Organizations

"Visibility is everything. If we didn't have Shinydocs, there's no way we could have disseminated what was in all those shares to make business decisions on data. It's probably the most transformative thing that we've done digitally."

Jay Hitchcock Director of the Digital Transformation Office Β· Bruce Power

Connect Every Repository, Migrate Nothing

Shinydocs governs content where it already lives. Connect your existing systems and start searching, classifying, and cleaning in place.

Repository and System Coverage

  • Azure Files
  • Box
  • File system
  • iManage
  • Laserfiche
  • Microsoft Exchange Email
  • Microsoft OneDrive
  • SharePoint Online
  • Microsoft Teams
  • NetDocuments
  • OpenText Content Server

We add new connectors regularly. Don't see yours? Ask us β€” coverage keeps expanding.

Frequently Asked Questions