AI Enterprise Search Across Systems
Search SharePoint, email, and file shares, and more from one interface.
Shinydocs is enterprise search software. Search across systems to retrieve relevant information — without migrating any files.
- Of the average employee's week goes to finding internal information or tracking down a colleague who can help.
- 20%
- Of AI projects unsupported by AI-ready data will be abandoned. Ungoverned content is the blocker.
- 60%
Source: Gartner, 2025
Find Files Across Systems in Seconds with Enterprise Search
Enterprise search gives your teams one search bar for every system they use. It reaches file shares, SharePoint, email, and document management systems at once. Each person sees only the files they can already open. Results can be filtered, tagged, and acted on, so the right document turns up in seconds.
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Search Everywhere at Once
Find content wherever it’s stored. One search covers SharePoint, file shares, email, OpenText, and more.
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Keep Access Permissions
Search inherits the permissions you already have. People only see files they can open, and you don’t change a thing.
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Drill into Detailed Results
Refine and filter your results until you find exactly the file you need.
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Tag for Holds and Requests
Manage tags for legal holds, access requests, audits, and more.
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Ask in Plain Language
Ask a question the way you’d ask a colleague. AI search reads the files and returns the answer.
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Leave Files Where They Are
Nothing gets migrated. Shinydocs searches your files inside the systems they already live in.
Proven Enterprise Search Results
From employee efficiency gains to faster information response times, every metric reflects what enterprise search can do for your team.
- Saved in year one
- $408K
County of Newell saved $408K in a single year. Source: County of Newell case study
- Data connected
- 300TB
Bruce Power connected 300 terabytes of enterprise data. Source: Bruce Power case study
- Hours saved weekly
- 6,500
Dunedin City Council reclaimed 6,500 staff hours every week. Source: Dunedin City Council case study
I didn’t know where the documents were, but I knew what information I needed to do my job. With Search in seconds, I have the document I need. This has made it so easy to find information without knowing complex folder structures. It’s a total new way of work.
How Shinydocs Enterprise Search Works
Shinydocs connects to each repository you already use and indexes the content where it sits. It carries your existing permissions into the index, so people only see files they can open. Staff then run an exact keyword search or ask a question in plain language, and act on the answer.
Connect Your Sources
Each connector plugs into one repository through a crawler or a push mechanism.
Index Every Data Type
Connectors handle both structured and unstructured data, whichever method they use.
Map Existing Permissions
Access controls carry across systems. People only see results they may open.
Search or Ask
Run an exact keyword match, or ask a question in plain language.
Act on the Answer
Shinydocs summarizes findings, classifies sensitive files, and flags ROT for disposal.
Shinydocs vs. Traditional Enterprise Search
Traditional search projects begin by moving terabytes into a new platform. That step costs a fortune, takes months, and carries real risk. Shinydocs takes it off the table entirely. Teams keep working in the systems they know, and search arrives in days.
Traditional search
vsShinydocs AI Enterprise Search
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Terabytes move to a new platform
Files stay exactly where they are
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Months of migration consulting
Connected and searching within days
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Rebuild every permission from scratch
Existing access controls carry over
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Retrain every team on a new tool
Staff keep the platforms they prefer
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Pay cloud transit fees and duplicate licensing
No transit fees, and no second copy
What Is Enterprise Search?
Enterprise search lets an organization search and retrieve information from multiple internal data sources through one search interface. Common sources include documents, emails, databases, intranets, knowledge bases, CRM systems, and content management systems. Unlike consumer search engines, it covers a private environment and shows each user only what they can already open.
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Structured and Unstructured Data
Retrieves both structured and unstructured data. It covers databases, CRM records, documents, emails, reports, and media files.
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AI That Reads Intent
Modern enterprise search applies natural language processing, machine learning, and generative AI. These interpret user intent and context.
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Enterprise AI Support
Enables retrieval-augmented generation (RAG) by providing AI with relevant enterprise content at query time, helping generate more accurate answers.
Benefits of Enterprise Search
Enterprise Search connects fragmented data across systems, so teams can find information quickly, from one source. It improves AI readiness, compliance, productivity, and storage efficiency by making enterprise knowledge accessible and actionable.
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Eliminate data silos
Make critical knowledge accessible across departments.
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Unify information access
Find information across systems from one place.
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Improve AI initiatives
Build the foundation for secure, reliable AI initiatives.
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Unlock institutional knowledge
Transform stored knowledge into a valuable business asset.
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Handle massive data volumes
Search across billions of files with enterprise-grade performance.
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Improve information accuracy
Prevent staff from using outdated, unapproved, or duplicate copies.
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Accelerate audit preparation
Surface information faster for audits, investigations, and requests.
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Cut storage costs
Maximize your budget by eliminating ROT data and reducing storage.
Enterprise Search Capabilities
A modern enterprise search platform combines eight core capabilities. They cover language understanding, unified multi-source retrieval, in-place indexing, and access-controlled retrieval. They also cover AI synthesis with citations, metadata enrichment, multilingual coverage, and search analytics. Shinydocs delivers all eight through precise keyword indexing with AI layers on top.
| Capability | What It Does |
|---|---|
| Language Understanding and NLP | Reads what a query means, not only the words it contains. |
| Cross-Repository Retrieval | Searches every connected data source at the same time. |
| Indexing and In-Place Crawling | Indexes structured and unstructured content where it already lives. |
| Access-Controlled Retrieval | Enforces permissions at retrieval time, following each source system. |
| AI-Powered Synthesis (RAG) | Generates answers with citations, grounded in your governed content. |
| Metadata Enrichment and Classification | Enriches and classifies content so retrieval and governance stay accurate. |
| Multilingual Support | Retrieves content in multiple languages, including English and French. |
| Search Analytics | Captures what people search for, find, and fail to find. |
Enterprise Search Use Cases
Enterprise search serves any team that needs an answer buried inside company content. Common use cases include intranet and shared drive search, knowledge management, and IT service delivery. Public sector and legal teams also use it for access requests, eDiscovery, multilingual retrieval, precedent reuse, and audit readiness. Every use case draws on the same index.
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Large intranets keep a separate space for each department. Enterprise search organizes that information and returns the relevant result quickly.
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Search inside file content, not just folder and file names. Unstructured data buried in old shares finally surfaces.
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Enterprise search supports the corporate knowledge management process. Institutional knowledge becomes retrievable instead of remembered.
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Document search and conversational questions return matched answers to natural-language queries. Staff stop filing a ticket for every question.
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Identify and collect potentially relevant material early. Legal teams search every repository in one pass.
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Retrieve records in more than one language. Bilingual organizations meet Official Languages Act obligations without separate searches.
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Find prior agreements, briefs, and proposals instead of drafting from scratch. Good work stops disappearing.
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Prove where sensitive data lives and who can reach it. Auditors receive evidence, not promises.
AI Enterprise Search That Answers Your Questions
AI enterprise search retrieves the relevant files first, then generates a direct answer, summary, or synthesis. Every answer cites the documents it came from. Shinydocs runs this entirely inside your environment, so your content never reaches an external AI provider. Your existing permissions apply to every answer.
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From Retrieving Documents to Generating Answers
RAG-enabled search retrieves relevant content across the data environment, then generates the answer. It grounds every answer in the source documents and cites them. The user gets an answer in seconds instead of reading a stack of documents.
Example
Ask what last year's security review found. Traditional enterprise search returns every document mentioning security reviews. AI-powered enterprise search returns the findings themselves, summarized and cited back to the source.
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The Retrieval Layer Is the Foundation
Enterprise search is the retrieval layer under every AI capability. An LLM without grounding produces confident answers that may be wrong, outdated, or invented. RAG is the architecture that connects AI generation to real organizational data.
Search quality directly determines AI output quality. Quality indexing, comprehensive coverage, and access-controlled retrieval separate a working deployment from a hallucinating one. Organizations that invested in search quality first found the AI layer straightforward to add. Organizations that pointed AI at fragmented, poorly indexed data hit hallucination problems, and enterprise AI then fails business-critical decisions.
Example
Two organizations deploy the same AI assistant. One indexed its content with permissions and metadata intact. The other pointed the model at unindexed shared drives. The first gets answers traceable to source, and the second gets confident answers nobody can verify.
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Your Data Stays Behind Your Firewall
Shinydocs AI search runs entirely inside your environment. Your proprietary content never reaches an external cloud AI provider. Users ask a question in plain language and get an answer generated from the retrieved documents. Your existing permissions apply to every result.
Repository Coverage Across Every Environment
Shinydocs connects to the repositories your teams already use. Coverage includes SharePoint Online, network file shares, Microsoft Exchange email, and enterprise document management systems. Each connector indexes its source in place, so one query reaches every connected system at once. We add new connectors as customer environments change.
Repository and System Coverage
We add new connectors regularly. Don't see yours? Ask us — coverage keeps expanding.
Enterprise Search Is One Part of the Platform
Shinydocs is 4-in-1 automated information governance software. It searches, classifies, cleans, and governs content where it already lives. Enterprise search is where most customers start. The other three run on the same index and the same connectors, with no second deployment.
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Enterprise Search
Find any file across every connected repository from one search bar.
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AI Data Classification
Label content with high-confidence AI, so governance and AI tools stay accurate.
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Data Remediation
Dispose of redundant, obsolete, and trivial files with a full audit trail.
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Information Lifecycle Management
Apply retention schedules automatically, from creation through to disposition.
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Frequently Asked Questions
Enterprise Search in Action
On a quick call, we'll map your repositories and show you how Shinydocs searches them all.
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