OpenAI provides artificial intelligence models that can understand and generate text, analyse images and documents, write code, retrieve information and complete multi-step tasks. Businesses can use these capabilities for employee assistants, customer support, document processing, enterprise search, content creation and workflow automation.

Adaptiv helps organisations assess AI readiness, select viable use cases, design the required architecture and integrate OpenAI with existing data and business systems. We can support proofs of value, production implementation, governance, evaluation and the ongoing operation of AI-enabled solutions.

Yes. OpenAI applications can connect with CRM, ERP, document management, data platforms and other enterprise systems through APIs and integration platforms. Adaptiv designs secure connections using technologies such as Microsoft Azure, Microsoft Fabric, Databricks, MuleSoft and Boomi.

An OpenAI application can retrieve information from approved internal sources and use it to produce responses grounded in your organisation’s content. The solution should preserve user permissions, restrict access to authorised sources and show where important information came from.

Retrieval augmented generation, often called RAG, allows an AI application to search approved business information before producing an answer. This approach helps the application provide responses based on current policies, documents and knowledge repositories instead of relying only on the model’s general knowledge.

OpenAI can classify requests, extract information from documents, summarise cases, draft responses and select the next step in a process. Adaptiv connects these capabilities to APIs, business rules and integration platforms so each output reaches the right system or person for review.

OpenAI agents are AI applications that can retrieve information, use approved tools and complete defined tasks. An agent might check a customer record, analyse a document and prepare an action for approval. Effective agents need limited permissions, reliable error handling, activity logs and human approval for higher-risk decisions.

Adaptiv defines measurable acceptance criteria and tests the solution against representative business scenarios. Controls can include grounding responses in approved content, requiring source references, validating outputs against business rules, limiting available tools and requiring human approval before important actions.

Security depends on both the OpenAI service and the surrounding application architecture. A production solution should use identity controls, least-privilege access, encryption, audit logging, data classification and monitoring. Adaptiv works with your security and governance teams to apply controls that match the information and workflows involved.