Case study · Internal business operations
Plant Style AI Chatbot.
A private, AI-powered business chatbot for an internal management team.
- What we built
- Web app and AI chatbot with admin panel
- Stack
- Web-based AI chat interface, Secure email/password authentication
- Services
- Web appAI chatbotAdmin panelKnowledge base
About the project
What is Plant Style AI Chatbot?
This project involved developing a private, AI-powered business chatbot for an internal management team. The platform centralizes company procedures, operational standards, templates, planners, policies, and other internal documentation into one searchable knowledge system. Authorized team members can ask questions in natural language, receive AI-generated guidance based on company documentation, and retrieve relevant templates or documents directly through the chatbot.
Secure, branded web application
The platform was designed as a secure, branded web application with controlled user access and a dedicated admin panel for managing users and knowledge content.
Workflow
01 Admin creates approved management user accounts. 02 User logs into the secure chatbot platform. 03 Admin uploads or updates company documentation. 04 Documents are processed and indexed into the knowledge base. 05 User asks a question through the chatbot. 06 AI retrieves relevant company information and generates a response. 07 User can request a specific document or template. 08 The chatbot returns the relevant document link or instructions.
The problem
What was slowing them down.
- 01
A large collection of internal documents
The management team relied on a large collection of internal documents and operational resources, making it difficult to quickly locate the right information when needed.
- 02
Procedures spread across different resources
Important procedures and documents were spread across different resources.
- 03
Finding templates was time-consuming
Finding templates and operational information was time-consuming.
- 04
Consistent answers based on approved documentation
Staff needed consistent answers based on company-approved documentation.
- 05
Only authorized management members
Only authorized management members should have access to sensitive internal information.
- 06
Knowledge needed to be updated
Knowledge needed to be updated as company documents changed.
The solution
What we built.
Secure Access
We developed a private AI chatbot platform with a dedicated knowledge base containing approximately 100 pages of company documentation.
- Named user accounts with individual credentials.
- Admin-controlled user access.
- Unauthorized users are blocked from the platform.
AI Knowledge Assistant
Natural-language chatbot interface.
- Responses grounded in company documentation.
- Action-oriented assistance for operational questions and decision-making.
Knowledge Base Management
Admin uploads policies, SOPs, templates, planners, budgets, KPIs, job cards, and tender documents.
- Documents are processed and indexed for AI retrieval.
- Knowledge can be updated as new documents are added.
Document Retrieval
Users can request specific templates or documents through chat.
- The system searches the knowledge base and provides the relevant document or instructions.
Branded Experience
Company logo, colors, and styling incorporated into the platform.
- Simple interface designed for everyday use by non-technical management users.
Results
What changed.
Management team
A single source of truth
The platform creates a single source of truth for internal operational knowledge.
Faster access to company procedures
Faster access to company procedures and resources.
More consistent operational guidance
More consistent operational guidance.
Reduced time spent searching
Reduced time spent searching through documents.
Centralized management of internal knowledge
Centralized management of internal knowledge.
Controlled access to sensitive information
Controlled access to sensitive company information.
Easier onboarding and knowledge sharing
Easier onboarding and knowledge sharing across management.
Scalable foundation for expansion
Scalable foundation for future knowledge base expansion.
Key challenges
The hard parts, and how we solved them.
Large internal knowledge base: managing approximately 100 pages of policies, procedures, and business resources.
Centralized document ingestion and indexing into a searchable AI knowledge base.
Response accuracy: employees needed answers aligned with company-approved information.
AI responses are grounded in the internal knowledge base rather than relying solely on general knowledge.
Restricted internal access: the platform contains private business information.
Implemented controlled user authentication with admin-managed access.
Easy knowledge updates: company documentation changes over time.
Admin users can upload new or updated documents and refresh the knowledge base without changing the application.
Tech stack
What it runs on.
- Frontend
- Web-based AI chat interface
- Authentication
- Secure email/password authentication
- AI
- RAG-based AI chatbot
- Knowledge Base
- Document ingestionSemantic search
- Document Types
- PDFSOPsTemplatesPlannersPoliciesOperational documents
- Hosting
- Secure cloud web platform
Process
How we got there.
More work.
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