Frontier models, deployed with enterprise controls.
ChatGPT Enterprise, the OpenAI API and Assistants — implemented with SSO, DLP, custom GPT libraries and agentic workflows. No training on your data, enterprise controls and audit trails your CISO can defend.
- OpenAI Enterprise Implementation | pronix.ai
Employees are already using ChatGPT. The question is on which terms.
Frontier reasoning gives real productivity gains — but only if it's deployed with enterprise identity, data controls and governed use cases, not as shadow IT.
- Consolidate shadow AIBring personal ChatGPT usage into a governed workspace with SSO, admin controls and audit logs.
- Custom GPT librariesRole-based GPTs grounded on your documents, with rollout, versioning and evaluation.
- Assistants + agentsMulti-step assistants with retrieval, code interpreter and function calling into your systems.
Full-lifecycle OpenAI Enterprise delivery.
SSO, SCIM, DLP, admin console, custom GPTs and adoption program.
GPT-4o, o-series and embeddings wired into your CRM, ITSM and knowledge systems.
Stateful assistants with retrieval, code interpreter and function tools.
Governed library with prompt versioning, evaluations and role-based publishing.
Multi-step agents with tool calling, guardrails and human-in-the-loop.
Prompt regression, model refresh and cost / rate-limit management.
Need certified OpenAI Enterprise Implementation | pronix.ai talent?
Deploy specialists who have delivered OpenAI Enterprise Implementation | pronix.ai implementations across enterprise environments — from design and build through steady-state operations.
- Certified engineers
- Solution architects
- Conversation designers
- Delivery leads
A six-step model, from assessment to managed operations.
Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.
Use cases, shadow-AI baseline and risk tier.
Workspace, SSO, DLP and GPT library plan.
One department with measured productivity.
Custom GPTs, Assistants and API integrations.
Org-wide rollout with adoption enablement.
Managed prompts, evaluations and cost control.
Use cases already in production with enterprise clients.
Governed ChatGPT Enterprise with role-based custom GPTs grounded on your documents.
Assistants that draft proposals, RFP responses and account plans from your winning content.
Code Interpreter and retrieval assistants for finance, ops and product analytics.
Multi-step agents that read tickets, retrieve context and act via function calling.
Industries where this ships fastest
- Financial Services
- BPO / GBS
- Retail & E-commerce
- Insurance
Grounded on your data. Governed on day one.
Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.
Questions buyers ask us first.
- Does OpenAI train on our data?
- No. ChatGPT Enterprise and API business tier data is not used to train models by default, with enterprise controls and contractual commitments.
- OpenAI direct vs Azure OpenAI?
- OpenAI direct gets latest models fastest and simpler Assistants API. Azure OpenAI provides regional residency, private networking and Entra identity — regulated enterprises typically standardize there. We help evaluate honestly.
- How do you prevent prompt injection and data leakage?
- Input/output filtering, retrieval scoping, function tool allow-lists, evaluations and human-in-the-loop on high-risk actions — mapped to NIST AI RMF.
Book a working session with our openai enterprise implementation team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.