Putting OpenAI to Work Inside Real Products
We integrate OpenAI's API into actual products, not demos. From assistants and RAG pipelines to workflow automation, we build each integration with real security, sensible cost controls, and monitoring, so the AI layer keeps working once real users show up.
What We Build With OpenAI
OpenAI's API powers more than chatbots when it's wired properly into a product's actual workflows.
AI Support Automation
Assistants that handle first-line customer queries with defined personas, guardrails, and escalation logic.
Knowledge Base Search
Semantic search using embeddings so users find internal docs and product data without manual digging.
SaaS AI Features
GPT-powered features embedded directly into dashboards: recommendations, content generation, assisted actions.
Workflow Automation
OpenAI as the intelligence layer for classifying, routing, and summarizing information across operations.
Document Intelligence
Extracting, summarizing, and classifying data from contracts, reports, and PDFs.
Internal AI Assistants
Assistants connected to live business data helping teams access information faster.
What We Build
We build using OpenAI's API surface with an eye toward what actually holds up in production.
Custom AI Assistants
GPT-powered assistants with memory, context management, and business logic integration.
RAG System Development
Retrieval-augmented pipelines combining OpenAI models with your own data for accurate, grounded responses.
AI Copilots
Embedded copilots inside dashboards that assist with tasks without leaving the product.
AI Document Processing
Extraction, summarization, and classification from documents using GPT models and embedding retrieval.
How We Build OpenAI Systems
Production AI needs more than API calls, it needs prompt structure, security, and monitoring.
Prompt and Retrieval
Structured prompt systems with versioning, paired with embedding pipelines for semantic retrieval.
- Prompt versioning and tests
- Vector embeddings and retrieval
Security and Access Control
API key management, rate limiting, and PII filtering protect every integration layer.
- API key and rate limit controls
- PII filtering and audit logs
Monitoring and Guardrails
Response quality, latency, and cost tracked across usage, with human review for low-confidence responses.
- Quality and latency tracking
- Output guardrails
What Runs Around OpenAI
OpenAI sits at the model layer; the surrounding stack handles backend services and data.
Backend
Frontend
Database
Integrations
How We Approach OpenAI Integration
These aren't optional extras, they're the foundation of any AI feature we ship.
Cost Control and Reliability
Token usage monitoring and fallback logic so the AI layer doesn't become a failure point.
Data Governance
PII filtering and audit logging for platforms with real data handling requirements.
Maintainability
Modular prompt architecture and versioned configs that can be updated without a full rewrite.
Where we've used OpenAI
Live projects built with OpenAI. Each case study covers what we built and why.
Frequently Asked Questions
Common questions about OpenAI integration.
Connecting OpenAI's models to your app or workflow, including prompt engineering, context management, security controls, and integration with your existing systems so it runs reliably in production.
Yes, we connect it to your current backend and interface for AI search, chat, summarization, or assisted workflow features as native product capabilities.
RAG combines OpenAI models with your own data, retrieving relevant content before generating a response. We build RAG pipelines for knowledge bases and platforms that need accurate, data-grounded answers.
API key management, rate limiting, access control, and usage monitoring for every integration, with PII filtering and audit logging for anything handling sensitive data.
A focused chatbot or document tool can land in four to eight weeks. Larger systems with full pipeline architecture and monitoring typically take two to four months.
Technologies we pair with OpenAI
Put AI to Work in Your Product
We build OpenAI integrations for teams that need AI inside real workflows, built for security and long-term reliability.