When enterprise knowledge is scattered everywhere
An outsourcing project typically starts with a large collection of documents. The Sales team needs company profiles, proposals, quotations, and case studies to engage with potential clients. Once the project is awarded, the Project Manager must review contracts, meeting minutes, requirement analysis documents, design documents, and numerous decisions that were agreed upon during the presales phase. As the project moves into implementation, the engineering team needs quick access to processes, technical documentation, acceptance checklists, and lessons learned from similar projects.
The challenge is that these documents are often scattered across multiple locations, such as Google Drive, SharePoint, email, or personal computers. Whenever someone needs information, they must remember where a document is stored, ask colleagues, or search through hundreds of folders. This process is not only time-consuming but also increases the risk of using outdated document versions or overlooking critical information.
The Solution
Wiki on ChaTask enables organizations to build a centralized knowledge base where all documents are organized by topic, department, or project and connected directly to AI. Users no longer need to remember where documents are stored. Instead, they simply ask questions in natural language, and AI searches, summarizes, and answers based on the documents they are authorized to access.
Organizations can build knowledge bases for:
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Company profiles, proposals, quotations, and contracts.
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Case studies by industry, customer profiles, and technical documentation.
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Implementation processes, acceptance checklists, and Lessons Learned from every completed project.
With ChaTask's permission management mechanism, AI can only access documents within each user's authorized scope, ensuring both convenience and security.
Scenario 1: Sales needs to prepare a proposal for a new client
A logistics company contacts the business and requests information about previous projects, a recommended solution, and the capabilities of the technical team.
Using the traditional approach, the Sales representative would need to search for previous proposals, browse multiple folders to collect relevant case studies, consult the engineering team about suitable personnel, and then consolidate everything into a proposal for the client.
With Wiki on ChaTask, the Sales representative simply asks: "Show me AI Camera projects we've completed for logistics and warehousing."
AI searches the knowledge base and compiles the most relevant case studies.
The Sales representative can then continue asking: "Do we have any proposals previously submitted to logistics clients?"
Or: "Recommend a suitable implementation team for a project with around 20 AI cameras."
AI references proposals, company profiles, and project documentation to generate answers along with links to the relevant source documents. Instead of spending hours searching for information, Sales can prepare everything needed for the client meeting in just a few minutes.
Scenario 2: A Project Manager takes over a new project
After a contract is signed, Project Managers typically spend considerable time reviewing all project documents to fully understand the project scope and the requirements agreed upon with the client.
Instead of reading dozens of documents from beginning to end, the PM simply asks AI: "Summarize the complete scope of Project ABC."
AI compiles the key information, including project objectives, implementation scope, core features, project timeline, and any special notes recorded during the presales process.
To prepare more thoroughly before project execution, the PM can also ask: "What risks have similar projects encountered in the past?"
Based on the Lessons Learned repository, AI summarizes previous issues along with the solutions that were successfully applied, enabling the project team to proactively avoid repeating past mistakes.
Scenario 3: Engineers need quick answers during project implementation
During implementation, engineers frequently encounter small but urgent questions, such as source code handover procedures, acceptance checklists, or configuration standards for a specific component.
Instead of searching through multiple PDF documents or waiting for colleagues to respond, they simply ask AI: "What is included in the AI Camera system acceptance checklist?"
Or: "What is the source code handover process for Japanese clients?"
AI immediately answers based on the organization's internal documentation and cites the original source documents, allowing every team member to follow the same standardized process without relying on the experience of a single individual.
Business Value
When organizational knowledge is centralized in Wiki and connected directly with AI, Sales teams can prepare proposals more quickly, Project Managers can onboard projects more efficiently, and engineering teams always have immediate access to the correct procedures during implementation. More importantly, the knowledge gained from every completed project is preserved and continuously reused in future projects instead of being lost in emails or personal computers.
Key benefits include:
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Significantly reducing the time required to search for documents and prepare information.
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Standardizing workflows across Sales, Presales, and Delivery teams.
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Leveraging accumulated organizational knowledge to enable AI to provide more accurate answers.
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Reducing dependency on individuals while accelerating onboarding and training for new employees.
Wiki on ChaTask is more than just a document repository. It is the organization's knowledge hub, where AI can understand, synthesize, and leverage internal knowledge to help teams work faster, more accurately, and preserve organizational knowledge across projects.
