Enterprise Resource

Business AI Implementation Checklist

A step-by-step roadmap for evaluating, building, and deploying custom AI chatbots, RAG systems, and LLM integrations for your business.

Implementation Readiness0%

1. Business Case & Use Case Selection

Identify High-ROI Use Case

Target repetitive tasks, customer support inquiries, data extraction, or automated content workflows.

Evaluate Proprietary Data

Ensure business documents (PDFs, knowledge bases, FAQs) are structured and sanitized.

Define Success Metrics

Establish benchmark metrics (e.g., 50% faster ticket resolution, 30% lower support cost).

Model & LLM Selection

Select appropriate models (OpenAI GPT-4o, Claude 3.5, Llama 3) based on accuracy, cost, and latency.

Vector Database & RAG Pipeline

Implement Pinecone/Weaviate vector embeddings for retrieval-augmented generation.

API Key Management & Rate Limiting

Secure LLM endpoints, enforce user rate limits, and sanitize user input prompts.

Data Privacy & Governance

Ensure zero user data retention for model training if handling sensitive healthcare or financial data.

Hallucination Testing

Evaluate system responses against ground-truth benchmarks to eliminate false outputs.

Nexiv Tech specializes in custom AI development, fine-tuned RAG agents, and enterprise OpenAI integrations.