Intelligence · Enterprise integration
Connect intelligence to the systems you already use.
AI should not live separately from the business. It should read from and act through your applications, data and tools — with the same controls as everything else.
What is AI integration?
AI integration is connecting an AI model to the applications, data and workflows a business already runs, so it can use real context and take real actions. The AI reaches systems such as a CRM, ERP, database or knowledge base through controlled APIs and returns answers or actions inside existing tools.
Capabilities
What AI can connect to
APIs
Internal and third-party APIs exposed to the AI as permissioned tools.
CRM
Customer history, deals and activities as context — and as actions.
ERP
Orders, inventory, finance and operations data.
Databases
Read-only, query-scoped access to operational and analytical data.
Business applications
Line-of-business apps via their APIs or a new integration layer.
E-commerce
Catalogue, orders, customers and fulfilment.
Internal tools
Ticketing, messaging, scheduling and project tools.
Documents and knowledge bases
Policies, manuals, contracts and wikis via retrieval (RAG).
How it works
How intelligence connects to your systems
User
A person or an application makes a request.
Prodigi Intelligence
Orchestration: identity, permissions, prompts, policies and logging.
AI model
Understands the request and decides which tools it needs.
- Claude
- OpenAI
- Gemini
- Azure AI
- Open models
Tools · APIs · RAG
Permissioned operations and retrieval over approved knowledge.
- APIs
- RAG
- Functions
- Policies
Business systems
CRM, ERP, databases, e-commerce, documents and internal tools.
- CRM
- ERP
- Databases
- E-commerce
- Documents
- Internal tools
Result · Action
An answer with sources, or an action — approved where required.
Approach
Controls that come with every integration
Server-side keys
Model and system credentials never reach a browser or device.
Least privilege
Each tool exposes only the operations the use case needs.
Human approval
Actions with consequences wait for a person.
Audit trail
Every request, tool call and result is logged.
Evaluation
Quality, cost and latency are measured continuously.
Answers
Questions, answered
How does AI integration work?
AI integration works in layers. A user or application sends a request to an orchestration layer; the orchestration layer calls an AI model with instructions and permitted tools; the model uses those tools — APIs, database queries or retrieval over documents (RAG) — to fetch business context; the result is checked against rules and returned as an answer or passed on as an action. Credentials, permissions and logging stay on the server side.
What is enterprise AI?
Enterprise AI is AI deployed across an organization’s real systems with the controls a business needs: access permissions, data governance, security, audit trails, cost management and reliability monitoring. The model is only one part; most of the work is integrating it safely with existing applications and data.
How is business data kept secure when using AI?
By keeping AI behind a backend the business controls. Provider keys and credentials live on the server, never in a browser or app; the AI only reaches data through permissioned APIs; sensitive fields can be filtered before they reach a model; and requests are logged for audit. Model and hosting choices can follow data-residency requirements.
Which AI models does Prodigi work with?
Prodigi designs model-independent architectures, so the model can be chosen per use case and changed later. Solutions can use models from providers such as Anthropic (Claude), OpenAI, Google (Gemini) or Azure AI, or open models, depending on quality, cost, latency and data requirements.
Keep exploring
Related
Enterprise AI
Follow a request from a user through Prodigi Intelligence, an AI model, tools, APIs and RAG to business systems and back as a result or action. An interactive simulation.
AI Agents
See what an AI agent does: understand a request, plan, call tools, retrieve information, reason and deliver a result. An interactive, simulated agent experience from Prodigi.
Modernization
Prodigi modernizes legacy applications step by step: architecture assessment, API layers, framework upgrades, cloud migration and performance improvements without a full rewrite.
Need AI connected to your systems?
Tell us which systems and what the AI should do with them.