Your company’s knowledge,
answered with citations.
Connect SharePoint, SOPs, policies, contracts, PDFs, and internal knowledge to launch a secure AI assistant for your organization. Employees ask questions in natural language and get trusted, source-grounded answers with citations — while the permissions they already have continue to apply.
Your company’s knowledge already exists — across SharePoint, policies, SOPs, contracts, file shares, PDFs, and internal systems. The problem is finding the right answer, from the right version, without exposing information a user should not see.
Groundline gives employees one secure place to ask questions across approved company knowledge. Every supported answer is grounded in your sources, linked back with citations, and filtered according to the user’s existing permissions.
Instead of building another knowledge portal or asking employees to search multiple systems, connect your sources and give teams a familiar conversational interface for enterprise knowledge.
Knowledge that’s everywhere is knowledge that’s nowhere.
Answers buried across too many systems
SharePoint, file shares, wikis, portals, contracts, SOPs, and PDFs all contain useful knowledge. Employees waste time searching across them individually.
Employees ask people instead of systems
When knowledge is difficult to find, teams message HR, Legal, Operations, IT, or senior colleagues for answers that already exist somewhere internally.
The wrong version creates real risk
Outdated policies, superseded SOPs, and old contract versions can lead to incorrect decisions, compliance issues, and avoidable rework.
Traditional enterprise search isn’t enough
Keyword search can find documents. Employees increasingly expect to ask a question and receive the exact answer — together with the evidence behind it.
Secure, grounded, and built for the way your teams work.
- Connect your knowledge
- Connect SharePoint, PDFs, SOPs, contracts, policies, internal wikis, and other approved knowledge sources without forcing employees into another document repository.
- Ask in natural language
- Employees use a familiar conversational interface instead of guessing keywords, folders, file names, or where information is stored.
- Answers with citations
- Every supported response links back to the source evidence so employees can open the original document and verify the answer themselves.
- Respects permissions
- Retrieval follows the user’s source permissions. Employees only receive information from content they are already authorized to access, enforced at retrieval time.
- Grounded in your sources
- The assistant answers from connected company knowledge rather than inventing unsupported information. When sufficient evidence is unavailable, it says so instead of guessing.
- Stays current
- Connected sources are synchronized as documents are updated, so answers reflect current approved knowledge rather than a static snapshot.
- Understands structure
- Headings, clauses, sections, tables, and document metadata are preserved — so employees can ask precise questions about a specific contract section or SOP step.
- Measured for quality
- Evaluation datasets measure grounding, retrieval quality, citation correctness, and answer accuracy continuously rather than assuming the assistant works correctly.
From documents to enterprise GPT.
Connect your knowledge. Keep your permissions. Start asking questions.
1 · Connect
Connect approved enterprise sources such as SharePoint, policies, SOPs, contracts, PDFs, and knowledge repositories.
2 · Synchronize
Content is indexed and kept aligned with source documents, metadata, and access permissions.
3 · Ground
Questions retrieve relevant permitted information and generate answers only from available enterprise evidence.
4 · Verify
Employees receive the answer together with citations so they can inspect the original source whenever needed.
One product. Multiple enterprise teams.
Enterprise knowledge search
“What is our travel reimbursement limit for international trips?” — find the relevant answer across approved internal knowledge without manually searching folders, portals, and PDFs.
HR & policy assistant
Employees ask questions about leave, benefits, conduct, travel, onboarding, and workplace policies and receive answers from approved HR documentation.
SOP & operations assistant
Operations and frontline teams ask how to perform a process and receive the relevant procedure from the current approved SOP.
Contract intelligence
“What are the termination terms in the Acme MSA?” — Legal, procurement, and commercial teams ask questions across permitted contracts and receive the answer with the relevant source section.
Department knowledge assistant
Create controlled knowledge experiences for HR, Legal, Finance, IT, Operations, or other departments while keeping access boundaries intact.
Employee onboarding assistant
New employees ask company-specific questions conversationally instead of searching dozens of portals, folders, orientation documents, and policy PDFs.
More than chat with documents.
Built for enterprise knowledge, not just document upload and question answering.
Permission-aware by design
Source access controls are respected during retrieval — not just hidden after an answer has already been generated.
Evidence behind every answer
Citations make answers inspectable and auditable instead of asking employees to blindly trust generated text.
Works across enterprise sources
Designed around connected company knowledge rather than requiring users to manually upload documents into every conversation.
Your model provider
Enterprise deployments are designed to run against your approved OpenAI, Azure OpenAI, Anthropic, or Amazon Bedrock provider, where available in your region and deployment pattern.
Your deployment
Enterprise deployment supports your tenant or a single-tenant environment, with region pinning and no model training on your data. Available patterns depend on the selected plan.
Quality you can measure
Evaluation datasets test retrieval, grounding, citations, and answer quality before and after changes.
Connect your first sources, then expand.
Designed for enterprise knowledge environments — organizations where answers must be grounded in approved sources, access boundaries matter, and employees need to verify where information came from.
Enterprise knowledge · Permission-aware retrieval · Citation-grounded answers
What buyers actually ask
Where does the assistant get its answers?
Can it respect who is allowed to see what?
Will our documents be used to train a model?
Can we use our own model provider?
How accurate is it, and how do we trust it?
How long does it take to launch?
Give your teams a secure AI assistant for company knowledge.
Start with one department and your highest-value knowledge sources. See how grounded answers, citations, and permission-aware retrieval work with your enterprise content.