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Official OpenAI PartnerOfficial Anthropic Partner

OpenAI Consulting.Deployed by Official Partners.

We roll out ChatGPT Enterprise, integrate GPT-6 Astra and the Responses API, stand up Codex for engineering teams, and build custom GPTs and agentic workflows on the Agents SDK. The AI infrastructure that runs behind the chat window, and the team training to keep it running.

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A practical 30 minutes — what fits, what to build first, what it costs.

YOUR SYSTEMSAPI LAYEROPENAIRESPONSES APIDatabaseCRMHelpdeskInternal toolsChatGPT EnterpriseCodexCustom GPTsAgents SDKIN PRODUCTIONSSO · AUDIT LOG
100%
Certified Team
2–6 Weeks
Typical Implementation
30 Days
To Measurable ROI
OpenAIAnthropic
01

Why OpenAI for Business

OpenAI has the largest AI ecosystem in the world. Hundreds of millions of weekly active ChatGPT users, thousands of enterprise deployments, and an API that powers everything from customer support chatbots to autonomous coding agents. When a business asks "where do we start with AI," the answer is almost always somewhere in the OpenAI stack. The question is which products, which models, and how to deploy them without burning budget on the wrong approach.

The product lineup has expanded fast. ChatGPT Enterprise gives organizations a secure workspace with SSO, admin controls, 60+ app connectors, a Compliance Logs Platform, and data privacy guarantees. The OpenAI API now offers GPT-6 Astra as the flagship — a 1.05M-token context window, up to 128K output tokens, native computer use, and two reasoning effort levels above high — with the GPT-5.6 family (Sol, Terra, and Luna) still carrying everything that does not need it. The Responses API handles agentic loops with built-in web search, code interpreter, file search, and function calling — replacing the now-deprecated Assistants API. And Codex gives engineering teams an autonomous coding agent — now available as desktop apps, CLI, and IDE extensions with 3M+ weekly active developers. Powered by GPT-6 Astra, it writes, tests, and ships code in sandboxed environments, and preserves context across long runs instead of stalling when the window fills. Each product solves a different problem, and most businesses need a combination.

Where OpenAI particularly excels is breadth of integration. The API is the most widely supported LLM endpoint in the industry — virtually every SaaS tool, automation platform, and developer framework has native OpenAI support. OpenAI has also released gpt-oss — open-weight models under Apache 2.0 that run on a single GPU for self-hosted and edge deployments. That means faster time-to-production for custom builds and real options for on-premise workloads. For customer-facing applications where latency, output consistency, and multimodal capabilities matter, GPT-5.6 remains the workhorse. Astra is what you reach for when a task genuinely needs frontier reasoning or control of a browser — at $10 per million input tokens and $50 per million output, four times Sol's rate, that distinction is the whole budget.

We're a certified OpenAI deployment partner and we're also deep practitioners of Anthropic's Claude. That dual expertise matters. We don't push one vendor — we recommend the platform that fits your use case, compliance requirements, and budget. Some clients run OpenAI for customer-facing features and Claude for internal development. Others go all-in on one. We help you figure out the right architecture, then we build it.

Our ServicesClaude ConsultingSuccess StoriesAbout Our Team
02

What We Build

OpenAI implementation across the full product stack — from ChatGPT Enterprise admin to custom model fine-tuning. Every layer, configured for your business.
01

ChatGPT Enterprise / Team Deployment

Full rollout of ChatGPT Enterprise or Team — SSO via SAML, SCIM provisioning, 60+ app connectors (Google Drive, Slack, Salesforce, GitHub), Compliance Logs Platform, custom data retention policies, and team onboarding. GPT-6 Astra access, alongside the GPT-5.6 Sol, Terra, and Luna tiers. We handle admin setup so your team starts producing on day one.

02

OpenAI API Integration

Production-grade API integration with GPT-6 Astra and the GPT-5.6 family (Sol, Terra, and Luna). Structured outputs via the Responses API, streaming, function calling, token optimization, rate limiting, error handling, and cost management. Built to carry real traffic on day one.

03

Codex Deployment

Deploy OpenAI's Codex for your engineering team — now available as desktop apps (macOS/Windows), CLI, and IDE extensions with 3M+ weekly active developers. Powered by GPT-6 Astra, it runs tasks in sandboxed cloud environments, writes and runs tests, creates pull requests, and handles multiple tasks in parallel. We configure GitHub integration, repository onboarding, Plan Mode workflows, and coding convention alignment so your engineers delegate from day one.

04

Custom GPTs & GPT Store

Design and build custom GPTs tailored to your internal workflows — onboarding assistants, policy lookup tools, data analysis bots, customer support agents. Publish to your organization's private GPT Store or deploy externally.

05

Responses API & Agents SDK

Build intelligent applications using the Responses API (replacing the deprecated Assistants API) with function calling, code interpreter, file search, and web search built in. Stateful conversations via the Conversations API, agentic loops with multi-tool orchestration, and the Agents SDK for multi-agent workflows with native sandbox execution. We also deploy the Realtime API for production voice applications.

06

Fine-Tuning & Custom Models

Supervised fine-tuning and reinforcement fine-tuning (RFT) on the smaller reasoning models. Training data preparation, evaluation benchmarks, A/B testing against base models, and production deployment. We determine whether fine-tuning, RAG, or prompt engineering is the right fit before you spend the compute.

07

Enterprise Compliance & Security

SOC 2-aligned deployment, data residency configuration, SSO enforcement, audit logging, DLP controls, and API key management. We set up the guardrails so your security team approves the rollout and your data stays where it should.

08

Multi-Model Strategy & Orchestration

Build routing logic that sends queries to the right model — GPT-6 Astra for frontier reasoning and computer use, GPT-5.6 Sol for hard reasoning at a quarter of Astra's rate, Terra for everyday workloads, and Luna for speed and cost. Plus gpt-oss open-weight models for self-hosted workloads. Intelligent fallback chains, cost optimization, and latency management across the full lineup.

Not sure which of these you need?

Leave an email and we'll send back which OpenAI pieces fit your team — ChatGPT Enterprise, Codex, API, or agents — and what a rollout looks like.

No sequence, no spam. Or book a call directly.

03

Built Across the Full AI Stack

We don't believe in single-vendor lock-in. The best AI architecture for your business might use OpenAI for some things and a different platform for others. We're certified with both OpenAI and Anthropic and deploy across every major cloud provider. Here's what that looks like in practice.

Where each model family runs: OpenAI on Azure and the direct API; Claude on AWS Bedrock, Google Vertex and the direct API.
Azure OpenAI
AWS Bedrock
Google Vertex
Direct API
OpenAI
Claude
Certified OpenAI deployment partner — ChatGPT Enterprise, API integration, Codex, custom GPTs, Responses API, Agents SDK, Realtime API, and fine-tuning
Claude experts — Claude for Enterprise, Claude Code Teams, MCP servers, and managed agent architectures
AWS Bedrock and Azure OpenAI Service deployment for businesses that need models within their existing cloud infrastructure
Multi-model orchestration — route queries to the right model based on task complexity, latency requirements, and cost constraints
Unified compliance and governance across platforms — one security framework, one audit trail, regardless of which models you use
Real-world experience deploying OpenAI + Claude side-by-side in production for clients across legal, SaaS, finance, and e-commerce

Most of our clients start with one platform and expand. A common pattern: deploy ChatGPT Enterprise for business teams, integrate the OpenAI API for customer-facing features, and use Claude Code for engineering workflows. We help you design that architecture from day one so the pieces fit together instead of competing.

04

Why OneWave for OpenAI

We're not a generalist consultancy that discovered AI last year. We deploy OpenAI products daily, understand the tradeoffs between models, and have shipped real implementations across dozens of businesses. Here's what differentiates our approach.

Client engagements deploying OpenAI and Anthropic products across industries including legal, finance, SaaS, healthcare, and e-commerce
Certified OpenAI deployment partner and Claude experts — we recommend the right model for the job, not the one we happen to sell
Team holds degrees in AI/ML and Big Data with hands-on experience across the full OpenAI product stack, from API to Enterprise admin
We optimize your OpenAI spend as part of every engagement — prompt engineering, model selection, caching strategies, and token management that reduce cost without reducing quality
Production experience with every OpenAI product: ChatGPT Enterprise, API (GPT-6 Astra, GPT-5.6), Responses API, Agents SDK, Realtime API, custom GPTs, fine-tuning, and Codex
Hands-on workshops, documentation, and runbooks so your team owns the system once we step back — no permanent dependency on a consultant
05

How We Work

Four phases. Thirty days to measurable results. The same proven structure every time, shaped around how your business actually works.
01Week 1

Audit

We map your current workflows, tech stack, and team capabilities. We identify where OpenAI products save the most time and flag quick wins you can ship in the first week.

02Week 2

Strategize

We build a prioritized deployment roadmap. Which models to use, which teams get Codex and how to structure async task delegation, what custom GPTs to build, where the API fits, and in what order. Clear milestones, no ambiguity.

03Weeks 2-4

Build

We deploy ChatGPT Enterprise, configure Codex for your repos, build custom GPTs, integrate the API with the Responses API, and wire up your Agents SDK workflows. Production infrastructure your team can run after we leave.

04Week 4

Train

Hands-on training for every role. Engineers learn Codex — async task delegation, PR review workflows, and parallel task management. Ops teams learn custom GPTs and prompt engineering. Leadership understands cost management and what to measure. You walk away self-sufficient.

06

OpenAI Team Training

Every engagement ends with your team trained to own the system. We don't hand off a black box — we run role-specific OpenAI training so each person knows exactly what they're working with and how to get more out of it over time.

ChatGPT Training for Non-Technical Teams

Ops, sales, marketing, and support staff learn prompt engineering, custom GPT usage, and how to use ChatGPT Enterprise connectors to pull data from Slack, Drive, and Salesforce.

Codex Onboarding for Engineers

Your engineers learn async task delegation, PR review workflows, parallel task management, and Plan Mode. We configure their repos and IDE integrations so they're productive on day one.

Leadership & ROI Workshops

Executives and team leads learn what to measure, how to evaluate model performance, cost management fundamentals, and how to build a culture of AI adoption that compounds over time.

07

Frequently Asked QuestionsCommon questions about OpenAI consulting, deployment timelines, and working with OneWave AI.

What does an OpenAI consulting engagement include?
An OpenAI consulting engagement covers strategy, architecture, and hands-on deployment of OpenAI products for your business. This includes ChatGPT Enterprise or Team setup, OpenAI API integration with the GPT-5.6 family and o4-mini, Codex deployment for engineering teams, custom GPT development for internal workflows, Responses API and Agents SDK implementation for agentic workflows, Realtime API for voice applications, and fine-tuning for domain-specific use cases. We handle the technical build and train your team to be self-sufficient.
What is the difference between ChatGPT Enterprise and ChatGPT Team?
ChatGPT Team is designed for small to mid-size teams and includes a shared workspace and higher message limits. ChatGPT Enterprise adds enterprise-grade security features including SSO via SAML, SCIM provisioning, a dedicated admin console, 60+ app connectors (Google Drive, Slack, Salesforce, GitHub), a Compliance Logs Platform for observability, enhanced data privacy with no training on your data, custom data retention policies, and domain verification. Both tiers now include the GPT-5.6 model family. We help businesses determine which tier fits and handle the full deployment.
What is OpenAI Codex and how can it help my engineering team?
Codex is OpenAI's autonomous coding agent with 3M+ weekly active developers. It's now available as desktop apps (macOS and Windows), a CLI tool, and IDE extensions — powered by GPT-5.6. It runs in sandboxed cloud environments connected to your GitHub repositories, and can write code, fix bugs, run tests, and open pull requests autonomously. Codex is async and parallel — you assign multiple tasks and it works on them concurrently in isolated containers while your team does other work. It includes Plan Mode for complex multi-step workflows and follows your codebase's existing conventions. Codex is available on Plus, Pro, Business, and Enterprise plans. We handle the full deployment: GitHub integration, repo onboarding, team workflows, and training your engineers to use it effectively.
How long does an OpenAI deployment take?
Most OpenAI deployments take 2 to 6 weeks depending on scope. A ChatGPT Enterprise rollout with SSO, app connectors, and custom GPTs can be completed in 2 to 3 weeks. More complex engagements involving API integration, Responses API workflows, Codex deployment, and fine-tuning typically take 4 to 6 weeks. We prioritize getting something useful in production within the first two weeks of every engagement.
Can you help with OpenAI API integration into our existing applications?
Yes. API integration is one of our core services. We build production-grade integrations using GPT-6 Astra and the GPT-5.6 family (Sol, Terra, and Luna). This includes the Responses API with function calling, code interpreter, file search, and web search — plus the Conversations API for stateful multi-turn interactions. We also deploy the Realtime API for voice applications and the Agents SDK for multi-agent workflows with sandbox execution. We handle prompt engineering, token optimization, error handling, rate limiting, streaming, and cost management across the full model lineup.
Do you only work with OpenAI or do you support other AI platforms?
We are vendor-agnostic by design. OneWave AI is a certified OpenAI partner and a team of Claude experts, and we also deploy on AWS Bedrock, Azure OpenAI Service, and Google Cloud. We recommend the platform that best fits your specific use case, compliance requirements, and budget. Many of our clients use multiple platforms — for example, OpenAI for customer-facing applications and Claude for internal development workflows. We help you build a multi-model strategy rather than locking into a single vendor.
What is fine-tuning and when does my business need it?
Fine-tuning trains a base OpenAI model on your specific data to improve performance on your particular tasks. You need fine-tuning when prompt engineering alone isn't getting consistent enough results, when you need the model to match a specific tone or format reliably, when you want to reduce token usage by encoding knowledge into the model weights, or when you need specialized domain expertise like medical terminology or legal language. Fine-tuning is not always the right answer — we evaluate whether few-shot prompting, RAG, or fine-tuning makes the most sense for your use case before recommending it.
How much does OpenAI consulting cost?
Pricing varies based on engagement scope. We offer one-time audits and strategy sessions, fixed-scope implementation projects such as ChatGPT Enterprise setup or API integration builds, and ongoing retainer arrangements for continued development and optimization. We provide transparent pricing after a free discovery call. Most clients see measurable ROI within 30 days. We also help optimize your OpenAI API spending — many businesses overspend on tokens because of inefficient prompt design or wrong model selection, and we fix that as part of every engagement.

Book a Free OpenAI Strategy Call

Tell us what you're building. We'll map out which OpenAI products fit, which models to use, and a realistic deployment timeline. No pitch deck — just a practical conversation with people who deploy OpenAI every day.

Book a Free Call

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