AI KNOWLEDGE ASSISTANTS
Help employees find approved information across company documents and knowledge sources while preserving existing access controls.
Your business may already have the information employees need.
It may sit across SharePoint, Google Drive, OneDrive, internal knowledge bases, policies, manuals, product documents and other systems.
The problem starts when employees have to search several places, open multiple files or ask another person to find the answer.
An AI Knowledge Assistant gives employees one place to ask questions and retrieve answers from approved company information.
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Employees ask questions in plain language.
The assistant searches the approved sources available to that employee and returns a concise answer based on the information it can access.
When the selected platform supports source references, employees can see where the answer came from and review the original material.
ILLUSTRATIVE EXAMPLE
What is our process for approving a customer refund over $2,500?
Refunds above $2,500 require manager approval before the finance request is submitted.
The assistant can be configured around a specific department, knowledge set or business process instead of trying to answer everything across the company on day one.
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Find procedures, process instructions, forms, checklists and internal policies.
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Find product information, sales guidance, approved messaging and internal reference material.
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Find troubleshooting steps, product documentation, service policies and approved responses.
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Find internal procedures, company documentation and operational reference material.
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Help employees find answers while learning company processes and systems.
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Search manuals, implementation notes, technical documentation and internal reference material.
You may not need another knowledge platform.
Depending on your existing systems, the assistant can work with approved information stored across the tools your team already uses.
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SharePoint, OneDrive and approved company documents.
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Google Drive files and shared company resources.
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Notion, structured documentation and internal knowledge systems.
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Approved operating instructions, procedures and company policies.
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Manuals, specifications, technical documents and product information.
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Approved internal information used by sales and service teams.
The exact architecture depends on your systems, permissions and chosen platform, but the basic workflow is straightforward.
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The employee uses natural language instead of manually searching folders and documents.
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The assistant looks across the knowledge sources configured for that use case.
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The system finds material related to the question while applying the available access controls.
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The employee receives a concise response with source references when supported by the selected platform.
A useful knowledge assistant is not connected to every document without planning.
We define which information the assistant can use, who can access it and how the system should respond when the answer is unclear.
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Define which documents, folders, systems or knowledge bases the assistant can use.
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Where supported, maintain the permissions already used by your business systems.
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Let employees review the material used to produce an answer when the platform supports citations.
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Assign responsibility for keeping policies, manuals and internal documents current.
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Keep people involved when decisions carry financial, legal, employment, safety or other material consequences.
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Test real employee questions, incomplete information, outdated documents and cases where no reliable answer exists.
A focused first deployment is usually the better approach.
Start with one team, one knowledge set or one recurring information problem.
That gives you a manageable source set, clearer testing and a practical way to measure usage before expanding the assistant.
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Choose one department or knowledge problem.
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Connect the approved information and test it against real employee questions.
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Add sources, users and additional departments after the first use case works.
Web Inventix AI can help define the use case, select the implementation approach and configure the assistant around the systems your business already uses.
Identify the employee questions and knowledge problems worth solving first.
Determine which documents, systems and repositories should be included.
Select the platform, model and integration approach based on your requirements.
Define users, source access and escalation rules.
Configure instructions, knowledge connections, answer behaviour and source handling.
Test real questions, edge cases and failure scenarios before wider rollout.
AI KNOWLEDGE ASSISTANT SETUP
Starting at CAD $2,500
A focused first implementation for one defined knowledge use case.
Final scope depends on the selected platform, source systems, number of users, access requirements and integration work.
Discuss Your Knowledge AssistantIf employees spend too much time searching documents, asking the same internal questions or tracking down the right person for information, we can review the workflow and determine where a knowledge assistant could help.