Production-ready architecture
Scalable, reliable and built for real business use cases.
● LLM INTEGRATION SERVICESIntegrate LLMs Into
Integrate LLMs Into
Your Product,
Workflow & Data Stack
TensorBlue helps businesses integrate GPT, Claude, Gemini, and open-source LLMs into SaaS products, internal tools, customer support systems, and enterprise workflows. We build secure, scalable AI solutions with prompt engineering, RAG architecture, API integration, function calling, and observability.
OpenAI IntegrationClaude IntegrationRAG DevelopmentAI Workflow Automation
● HIGH-INTENT USE CASES
Popular LLM Integration Solutions
The most in-demand AI integration services businesses search for when adding generative AI to existing products and workflows.
AI Chatbot Integration
Deploy conversational AI for support, onboarding, and user assistance across web and mobile.
RAG Development
Connect LLMs to documents, databases, and knowledge bases for grounded answers with citations.
AI Agent Automation
Build multi-step automations that reason, retrieve data, and trigger actions across tools.
Enterprise Search
Add semantic search and answer generation for SOPs, docs, wikis, and internal content.
Document Intelligence
Extract, summarize, classify, and validate contracts, PDFs, forms, and reports.
SaaS Copilot Features
Embed writing, analysis, recommendations, and in-app assistance directly into your product.
OpenAI IntegrationClaude IntegrationGemini IntegrationAI Chatbot DevelopmentLLM App Integration
● PRODUCTION CAPABILITIESCore Capabilities for
Core Capabilities for
LLM Integration
Everything needed to move from a simple model API call to a scalable, production-ready AI feature.
Model Selection & Routing
Match the right model to the task based on cost, speed, and quality.
Prompt Engineering
Design reusable prompt systems, templates, and instruction layers.
Function Calling
Connect LLMs to tools, APIs, and business workflows for real action.
Structured Outputs
Generate reliable JSON, forms, classifications, and business-ready responses.
Vector Database Integration
Enable semantic retrieval with embeddings, indexing, and re-ranking.
RAG Architecture
Ground answers in private company data with retrieval and citations.
Evaluation & Monitoring
Track quality, latency, token usage, and response reliability.
Guardrails & Safety
Apply moderation, policy controls, and human-review checkpoints.
Prompt Engineering ServicesRAG ArchitectureVector Database IntegrationAI API IntegrationLLM Monitoring
● ARCHITECTURE OVERVIEWReference Architecture for
Reference Architecture for
LLM Integration
A clean system design that connects models, private data, business tools, and observability.
Frontend Experiences
Web apps, mobile apps, internal tools, support portals.
API Gateway
Authentication, rate limiting, usage control, request validation.
Context & Retrieval
Embeddings, vector database, semantic search, re-ranking, citations.
LLM Orchestration Layer
Prompt templates, routing, retries, caching, and workflows.
Business Integrations
CRM, ERP, helpdesk, databases, Slack and custom APIs.
Model Layer
OpenAI, Claude, Gemini, and open-source LLMs.
Observability & Governance
Logs, evals, PII controls, cost analytics, performance dashboards.
LLM OrchestrationOpenAI API IntegrationClaude API IntegrationEnterprise AI Architecture
● BUSINESS VALUEWhere LLM Integration
Where LLM Integration
Creates Value
Practical AI use cases that improve productivity, customer experience, and workflow efficiency.
Customer Support Automation
Answer repetitive questions, summarize tickets, and assist support agents.
Internal Knowledge Assistant
Give employees instant answers from SOPs, manuals, and company docs.
Sales Copilot
Generate replies, qualify leads, draft follow-ups, and summarize calls.
Document Processing
Extract key data from contracts, invoices, PDFs, and forms.
Workflow Automation
Trigger actions, approvals, and updates across business systems.
Product AI Features
Embed AI search, content generation, and recommendations in SaaS apps.
● DELIVERY FRAMEWORKA Practical LLM
A Practical LLM
Integration Process
A clear path from idea to production, designed for reliability, speed, and measurable results.
Discovery
Identify the highest-value AI use case and success metrics.
Architecture
Select models, define prompts, retrieval, and integration points.
Prototype
Validate UX, quality, and edge cases with a production-minded proof of concept.
Integration
Connect the LLM workflow to your product, APIs, and business systems.
Evaluation
Test quality, latency, cost, and safety with real-world scenarios.
Launch & Optimize
Monitor usage, improve prompts, and scale what works.
KEY OUTPUTSPrompt systemsRAG setupModel routingAnalyticsOptimization plan
● TRUST & PERFORMANCESecurity, Reliability,
Security, Reliability,
and Cost Control
Production-grade guardrails so your AI integration remains secure, observable, and financially efficient.
Access Control
Role-based permissions and environment-level controls.
PII & Data Protection
Protect sensitive information with filtering, masking, and safe handling.
Fallback & Resilience
Retries, model failover, and graceful degradation for high availability.
Caching & Cost Optimization
Reduce token spend with prompt caching, routing, and response reuse.
Monitoring & Analytics
Track token usage, response quality, latency, and user adoption.
Human Review Workflows
Add approvals for sensitive actions and high-risk outputs.
● COMMON QUESTIONS
LLM Integration FAQs
Quick answers to the most common questions teams ask before adding AI to their product or workflow.
Which models can TensorBlue integrate?
We support OpenAI, Claude, Gemini, and open-source LLMs, depending on your quality, cost, and deployment needs.
How long does an LLM integration project take?
Most implementations move from discovery to production in a few weeks, depending on complexity and integrations.
Can you connect AI to our private data?
Yes. We build RAG systems that connect LLMs to documents, databases, and internal knowledge sources.
Can you add AI to an existing SaaS product?
Yes. We integrate LLM-powered search, chat, automation, and copilots into existing software without rebuilding the whole platform.
Need LLM integration for your product?
Let TensorBlue design a secure, scalable AI experience tailored to your workflows, customers, and business systems.
WORKS WITH LEADING MODELS & TOOLS
OpenAIClaudeGeminiRAGAI Agents