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OpenAI & ChatGPT practice

OpenAI, put to work — ChatGPT for every team, agents for every workflow.

AgenticQuay helps companies deploy ChatGPT Enterprise securely, build custom GPTs and agents on the OpenAI platform, launch realtime voice experiences and bring Codex into engineering — on OpenAI directly or Azure OpenAI, with governance from day one.

Find my OpenAI path Book an OpenAI strategy call
4–6 weekstypical ChatGPT Enterprise rollout
2 cloudsOpenAI platform or Azure OpenAI
Day oneSSO, data controls and evals
Your business at the center, connected to ChatGPT Enterprise, custom GPTs, the Responses API, the Agents SDK, Realtime voice and Codex. ChatGPT Enterpriseevery employee Custom GPTsshared workflows Responses APIproduct features Agents SDKmulti-step agents Realtime voicecalls & in-app Codexengineering Your business data · systems · people
Six ways OpenAI shows up in a business — we help you pick, build and govern each one.
Common starting points

Most OpenAI projects start with one of these

Healthcare network · 3,000 staff

Shadow ChatGPT use is everywhere.

Staff use personal accounts for real work, and compliance has no view of what's being shared.

What we do: ChatGPT Enterprise with SSO, data controls, an approved GPT library and role-based training.

E-commerce brand · 40-person support team

Peak season breaks our support queue.

Volume triples for six weeks a year, and hiring for the spike never catches up.

What we do: voice and chat agents wired to the order system, with clean handoff to people.

Fintech platform · product team

The AI feature demoed well — then drifted in production.

Answers vary, formats break downstream code, and nobody can tell whether a prompt change helped.

What we do: structured outputs, retrieval over approved content, and evals that run in CI.

What we deliver

OpenAI services, from workspace to production

Start with a secure ChatGPT rollout, or go straight to building on the platform.

Discuss your OpenAI goals

ChatGPT Enterprise & Business rollout

Workspace, SSO and SCIM, domain verification, data controls, admin roles and a phased launch plan.

SSO & SCIMData controlsAnalytics

Custom GPTs & shared Projects

A curated library of GPTs for repeatable work — each with an owner, instructions, knowledge and a review date.

GPT libraryProjectsGovernance

Company knowledge & connectors

Connect ChatGPT to Drive, SharePoint, Slack and more — with permissions that mirror your source systems.

ConnectorsPermissions

Agents on the OpenAI platform

Multi-step agents built with the Responses API and Agents SDK: tools, handoffs, guardrails and tracing.

Responses APIAgents SDKTracing

Realtime voice agents

Low-latency voice for phone lines and apps, with tool calls into your CRM and smooth transfer to people.

Realtime APITelephony

Codex for engineering

Repo onboarding, AGENTS.md conventions, parallel task workflows and a review process for agent-written PRs.

CodexAGENTS.mdPR review

Fine-tuning & evaluation

Eval-first model work: baselines, supervised or reinforcement fine-tuning, and distillation to cut cost.

EvalsFine-tuningDistillation

Azure OpenAI & governance

OpenAI models inside your Azure tenant: Entra ID, private endpoints, regional deployments and content filters.

Azure OpenAIEntra IDPrivate network
Interactive path finder

Which OpenAI path fits your goal?

Choose what you want to achieve and where it should run. We'll show the building blocks, timeline and team we'd typically bring.

What do you want OpenAI to do?
Where should it run?
Recommended path

ChatGPT Enterprise rollout

Timeline4–6 weeks
Typical teamStrategist + enablement lead
Runs onOpenAI platform

      Typical shape of the engagement — we tailor scope after a discovery call.

      Talk through this path
      ChatGPT Enterprise blueprint

      A rollout people adopt — and security approves

      Licenses don't change habits. Our six-step blueprint pairs the admin work with the change management that makes ChatGPT part of daily work.

      What employees get on day one

      • Single sign-on with their work account
      • Approved GPTs for their role, already set up
      • Connectors to the documents they're allowed to see
      • A one-page guide to what's OK to share
      • A champion on their team to ask
      1. Identity & access

        SSO, SCIM provisioning, domain verification and role-based workspaces or groups.

      2. Data controls

        Retention settings, connector permissions, and compliance export to your existing tools.

      3. GPT & Project library

        A curated starter set per department, each with an owner and a review cadence.

      4. Champions network

        One trained champion per team who collects wins, answers questions and flags risks.

      5. Training by role

        Hands-on sessions built on each team's real tasks — see ChatGPT training.

      6. Adoption analytics

        Usage and impact reviewed monthly, with the next wave of use cases chosen from the data.

      Codex for engineering teams

      Delegate the backlog, keep the judgment

      Codex works on well-scoped tasks in parallel — each in its own sandbox against your repo — and returns pull requests with test results. We set it up so the output meets your standards.

      • Repo onboarding: environments, dependencies and test commands that just work
      • AGENTS.md conventions so every task follows your architecture and style
      • Task-scoping playbook engineers use to delegate the right work
      • Review workflow and security policies for agent-written changes
      Use cases

      OpenAI use cases by function

      All AI use cases

      Order-aware support agent

      Answers where-is-my-order, returns and billing questions by checking your order system in real time.

      Instant answers at any volume

      Voice line for peak season

      A Realtime voice agent takes overflow calls, resolves the routine ones and transfers the rest with context.

      No hold-time spikes

      Quality review at scale

      Scores every conversation against your rubric and surfaces coaching moments for team leads.

      100% QA coverage
      Industries

      OpenAI solutions for your sector

      Retail & e-commerce

      Shopping assistants, catalog enrichment and peak-season support.

      Financial services

      Advisor copilots, document extraction and compliant client communications.

      Healthcare

      Governed ChatGPT for staff, intake assistants and patient communications.

      Education

      Tutoring assistants, course design support and campus-wide ChatGPT.

      Media & publishing

      Research, transcription, tagging and archive search for newsrooms.

      Travel & hospitality

      Multilingual booking and guest-service voice agents.

      Software

      In-product AI features and Codex-powered engineering teams.

      Logistics

      Shipment-status agents, document processing and exception handling.

      Using both OpenAI and Claude?

      So do we. Here's how we decide.

      We're vendor-neutral. Each workload gets the platform that tests best on your data and fits your security model — and our architectures let you switch later.

      WorkloadOpenAI optionsClaude optionsWhat decides it
      Company-wide assistantChatGPT Enterprise or BusinessClaude Enterprise or TeamExisting tools, admin needs, which assistant your teams prefer in a pilot
      Coding agentsCodexClaude CodeYour repos and workflows; we often trial both for two weeks
      Voice agentsRealtime APIClaude with a speech pipelineLatency targets, languages and telephony stack
      Product features & agentsResponses API, Agents SDKClaude API, Claude Agent SDKEvaluation scores, cost per task, tool-use reliability
      Cloud & complianceOpenAI platform, Azure OpenAIClaude API, Bedrock, Vertex AI, FoundryWhere your data lives and which agreements you already have

      Working with Claude? See our Claude consulting practice

      How an OpenAI engagement runs

      Pilot fast, scale on evidence

      1. Discover

        Week 1

        Goals, data sensitivity, current shadow-AI usage and success metrics.

      2. Pilot

        Weeks 2–4

        A secure pilot workspace or prototype with a real team and a real workload.

      3. Scale

        Weeks 4–10

        Phased rollout or production build with integrations, guardrails and training.

      4. Operate

        Ongoing

        Adoption analytics, eval monitoring and new use cases, optionally as a managed service.

      FAQ

      OpenAI consulting questions

      What does an OpenAI consulting engagement include?
      It depends on the goal. A ChatGPT Enterprise rollout covers workspace setup, identity, data controls, a GPT library, training and adoption analytics. A build engagement covers architecture, integration, guardrails, evaluations and launch on the OpenAI API or Azure OpenAI.
      ChatGPT Enterprise or ChatGPT Business?
      Business suits smaller teams that want a secure shared workspace quickly. Enterprise adds identity, compliance, analytics and support features larger or regulated organizations usually need. We compare current plan features against your requirements.
      Should we use the OpenAI API directly or Azure OpenAI?
      Choose Azure OpenAI when you want OpenAI models inside your Azure tenant with Entra ID, private networking, regional data residency and Microsoft billing. The OpenAI platform usually gets new capabilities first. We design so workloads can move between them.
      What is Codex?
      Codex is OpenAI's coding agent. Engineers hand it well-scoped tasks; it works in a sandbox against your repository, runs tests and proposes pull requests for human review. We set up repos, conventions and review workflows so it works team-wide.
      When should we build a custom GPT versus an agent?
      A custom GPT fits a repeatable task people do inside ChatGPT, like drafting in a house style. Build an agent on the API when the work runs without a person at every step, touches several systems or needs strict controls.
      When does fine-tuning make sense?
      Only after strong prompting and retrieval have been measured and fall short — usually for a consistent format, tone, classification accuracy or cost at very high volume. We run evaluations first so fine-tuning is justified by data.
      Does OpenAI train on our business data?
      According to OpenAI's published policies, data from ChatGPT Enterprise, ChatGPT Business and the API isn't used to train models by default. We still configure retention, connector permissions and access controls to match your own policies.
      Are you affiliated with OpenAI?
      AgenticQuay is an independent consultancy. We build on the OpenAI platform and Azure OpenAI and don't resell licenses — you contract with OpenAI or Microsoft directly.

      OpenAI, ChatGPT and Codex are trademarks of OpenAI. Azure is a trademark of Microsoft. AgenticQuay is an independent consultancy and is not affiliated with or endorsed by OpenAI or Microsoft.

      Ready when you are

      Let's put AI to work in your business.

      Book a 30-minute strategy call. You'll talk to an engineer who ships production AI — and leave with a clear next step, whether or not we work together.

      Book a strategy call sales@agenticquay.com