AI Integration

Service Overview

LLM-powered features, RAG pipelines, document intelligence, and AI workflows inside your products.

We embed LLM workflows into real product surfaces with clear data boundaries. Retrieval, prompts, tools, and fallbacks are engineered as part of the application.

Business Problems Solved

• Business data is hard to search
• Teams repeat document-heavy work manually
• AI tools are separate from real operations
• No clear plan for safe AI adoption

Use Cases

• AI copilots
• AI search
• Document intelligence
• LLM workflows
• Business AI systems
• Knowledge assistants

Industries Supported

• Legal operations
• Education
• Finance operations
• Healthcare operations
• Internal teams
• Customer support

Process Breakdown

• Audit your data and workflows
• Select AI use cases
• Design retrieval and prompt architecture
• Build the AI interface
• Test accuracy and deploy safely

Technical Capabilities

• OpenAI integration
• RAG pipelines
• Prompt systems
• Vector search
• Document parsing
• Tool calling

Example Workflows

• User asks a question -> system retrieves company data -> AI answers with context -> team reviews action
• PDF is uploaded -> data is extracted -> workflow updates automatically

Technologies Used

Deliverables

• AI feature plan
• RAG or LLM workflow
• User interface
• Accuracy testing
• Deployment and monitoring

Why Choose Resources Now

• AI is tied to business workflows
• Clear data boundaries
• Practical implementation without hype