Personal accounts, no controls
ChatGPT logins IT never approved, on the free or Plus tier, where what your team types can be used to train the model and there is no admin oversight.
ChatGPT Team Implementation for companies already using AI.
Half your team is already on ChatGPT, paying for Plus on personal accounts and doing real work in it every day. Phos AI Labs is the AI department for $5M–$50M companies that turns that scattered habit into a company-wide ChatGPT Team rollout: shared workspaces, custom GPTs built from your own documents, the connectors that reach your tools, and the guardrails your security team signs off on. As a Select OpenAI Partner, we set it up the way OpenAI intends.
ChatGPT Team implementation is the company-wide rollout of OpenAI's ChatGPT Team or Enterprise: moving your people off personal accounts onto a shared workspace where data stays out of training, building custom GPTs from your own documents, connecting ChatGPT to your tools, and training each role on where it fits. Here is what most firms miss. The seats are the easy part. Somewhere in your company a handful of people have already made ChatGPT indispensable, but each one uses it differently and none of it is connected to anything. Phos AI Labs turns that scattered advantage into one shared, governed system the whole team runs.
OpenAI · Select Partner
Select OpenAI Partner with a CCA-F certified team, earned directly with OpenAI
40+ AI systems
shipped to production in the last 6 months
~6 weeks
to ChatGPT Team running across your company
Why don't a dozen ChatGPT Plus accounts add up to a company-wide advantage?
Plenty of people already use ChatGPT every day, on personal Plus accounts, for real work: drafting emails, summarizing docs, writing first passes of everything. It is billed to expense reports, disconnected from your systems, and nobody has decided what data those accounts can see. The value stays scattered across individuals.
ChatGPT that never saw your business
Out of the box, ChatGPT has never read your SOPs, your templates, or your product docs, so the output is generic and inconsistent from one person to the next.
Everyone builds their own version
A dozen people using ChatGPT a dozen ways, with private prompts and one-off GPTs nobody else can see, so nothing is shared or repeatable.
Seats without a system
A stack of personal ChatGPT Plus subscriptions on expense reports, plus the SaaS licenses they half-replace, spending what one governed ChatGPT Team setup would cost for a fraction of the value.
The seats are the easy part. Making them one system is the work.
This engagement moves your scattered ChatGPT users onto one governed workspace the whole company runs on. Six deliverables, each a named artifact your team keeps.
What you walk away with
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Workspace and Privacy Setup
ChatGPT Team or Enterprise on the tier that keeps your data out of training, with admin controls and the access rules your security team signs off on.
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Custom GPTs
Purpose-built GPTs trained on your own documents and templates, so each core workflow has a shared, consistent starting point.
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Connectors and Integrations
ChatGPT connected to the tools and files your team already uses, so it works where the work is instead of in a separate tab.
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Shared Prompt and GPT Library
The proven prompts and GPTs collected in one place everyone can reach, so nothing stays trapped in one person's account.
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Role-Specific Training
Each person learns exactly where ChatGPT fits their own job, so adoption sticks.
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Owner's Manual
Every setup, GPT, and permission decision documented in plain language, fully owned by your team.
The rollout moves your scattered ChatGPT habit onto one shared, governed system. You leave with the workspace, the custom GPTs, and a partner who already knows your operation from the inside, ready to be your embedded AI team as ChatGPT keeps changing.
How does a ChatGPT Team implementation work?
Three phases, each earning the next. Weeks 1 to 2 map where ChatGPT helps most and lock the workspace and privacy tier. Weeks 3 to 4 build the custom GPTs, connectors, and shared library. From week 5, each role trains and adoption gets tracked until it holds.
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Weeks 1–2
Workspace and privacy
Phos AI Labs finds where ChatGPT saves the most hours, then sets up Team or Enterprise on the tier that keeps your data private, with admin controls in place.
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Weeks 3–4
Build
Custom GPTs built from your own documents, connectors wired to your tools, and a shared prompt and GPT library everyone can reach.
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Week 5 onward
Rollout
Each role gets trained inside their own work, then adoption gets tracked until ChatGPT is how the company works by default. Nothing moves to the next phase until the one before it proves itself.
What else does Phos AI Labs handle around a ChatGPT rollout?
A ChatGPT Team rollout rarely stands alone. Teams standardizing on ChatGPT usually also want Claude for the roles that prefer it, one set of rules across both, or the wider generative program above all of it.
Claude Implementation
As an Anthropic partner, a real rollout: CLAUDE.md, MCP, and permissions set up so Claude works across the whole company.
Explore →AI Governance
Rules sized for a lean team, so adoption sticks and everyone uses AI the same way instead of five different ways.
Explore →Generative AI Consulting
The full picture across models: choosing the right one for each job and building all of it into the workflows your team runs.
Explore →AI Readiness Audit
Know where AI belongs before you spend. A fixed-scope audit that prices every opportunity and hands back a roadmap you keep.
Explore →Why does the right ChatGPT setup depend on your industry?
Same rollout, different documents and rules. Professional services run on client templates, healthcare on policy with human review, ecommerce on product and support content, financial advisory on compliance-bound communication. The custom GPTs and permissions are built around what your industry actually handles.
Healthcare Manufacturing Aviation Logistics Creative Industries Financial Advisory Legal Accounting Insurance Real Estate Ecommerce SaaS Construction Agencies Large Non-Profits Retail Book a call
Don't see your industry?
If your work runs on drafting, summarizing, or answering from your own documents, ChatGPT Team has a place in it.
What actually changes once ChatGPT Team is running?
Three shifts: hours back every week, one consistent set of GPTs and prompts instead of a dozen private ones, and a governed workspace the whole team runs without personal accounts.
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Hours back, every week
The draft or summary that took an hour now takes minutes to review and send, across every role that touches it.
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One shared way of working
Instead of a dozen private setups, everyone starts from the same custom GPTs and prompts, so quality holds no matter who does the work.
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A governed workspace your team owns
Every GPT, connector, and permission documented under one admin, so your data stays private and the setup keeps running after Phos AI Labs leaves the room.
Does a real ChatGPT rollout actually deliver?
It shows up in three places: the model doing real work, the architecture holding up under real documents, and the hours it gives back every week.
HRM turned 16 years of labor-law expertise into an AI specialist
Context
16 years of Mexico labor-law expertise locked in one team's heads. Phos AI Labs turned it into an AI specialist that answers any employer, at any hour, and captures every conversation as a lead.
The result
250% more leads vs. the prior year
0 hallucination, by architecture
"The results from our increase in lead generation are outstanding. This is the perfect example of the importance of moving forward with an AI strategy. We feel very fortunate to have chosen Phos AI Labs as our partner. It has been a positive game changer for us."
— Franklin Delano Frith II, Owner, HRM
Why Phos AI Labs for a ChatGPT rollout instead of doing it in-house?
Most teams buy a pile of ChatGPT seats and hope adoption happens. Phos AI Labs is a Select OpenAI Partner that sets ChatGPT Team up the way it is meant to run and stays embedded as the platform keeps changing.
Select OpenAI Partner, CCA-F certified
Phos AI Labs holds Select OpenAI Partner status with a CCA-F certified team, both earned directly with OpenAI through real technical standing in how to deploy these tools. It is standing you cannot buy with a landing page.
We build it into your systems
A generalist hands you seats and a training slide. Phos AI Labs builds custom GPTs from your documents and connects ChatGPT to your real tools, which is where the hours actually come back.
The platform keeps changing, so do we
New models, new GPT features, and new connectors land constantly. Phos AI Labs stays embedded and retunes your setup as ChatGPT moves, so the rollout keeps compounding instead of aging out.
How much does a ChatGPT Team implementation cost?
A ChatGPT Team implementation with Phos AI Labs starts at $10,000 per month, scoped to how many workflows, custom GPTs, and roles are in play. Every engagement covers the workspace and privacy setup, custom GPTs, connectors, the shared library, and role-based training under a single monthly fee.
The spend is often already on your books. A team paying for scattered ChatGPT Plus seats, plus the SaaS licenses those seats half-replace, is already spending close to what one governed setup costs. Part of the rollout is finding that spend and pointing it at a system the whole company runs on.
Focused ChatGPT Team Rollout
From $10,000/mo
The highest-impact workflows set up on ChatGPT Team or Enterprise, with custom GPTs, connectors, and training for the roles that use them.
Embedded AI Team
$10,000 to $50,000/mo
Your full AI team on retainer: building, connecting, retuning, and training across the whole operation as ChatGPT and your business change.
FAQs
What is a ChatGPT Team implementation?
A ChatGPT Team implementation is the company-wide rollout of OpenAI's ChatGPT Team or Enterprise: moving people off personal accounts onto a shared, governed workspace, building custom GPTs from your own documents, connecting your tools, and training each role. Phos AI Labs sets it up so the output is specific to your business.
What is the difference between ChatGPT Plus, Team, and Enterprise?
Plus is a personal plan. Team and Enterprise are built for companies: your data stays out of training by default, an admin controls the workspace, and everyone shares custom GPTs and settings. Phos AI Labs recommends the tier based on your headcount, security needs, and which systems ChatGPT has to reach.
Is our data safe with ChatGPT?
It can be, when it is set up correctly. Free and Plus accounts can retain what your team types. Phos AI Labs moves your company onto ChatGPT Team or Enterprise, where your data stays private and out of training, then sets the admin controls and access rules your security team signs off on.
What are custom GPTs and why do we need them?
Custom GPTs are ChatGPT configured for one job, trained on your own documents and instructions. They give each workflow a shared, consistent starting point instead of everyone writing their own prompts. Phos AI Labs builds the GPTs your team needs and collects them in one library everyone can reach.
How long does a ChatGPT Team implementation take?
About six weeks to running across your company. Weeks 1 to 2 lock the workspace and privacy tier, weeks 3 to 4 build the custom GPTs, connectors, and shared library, and from week 5 each role trains while adoption gets tracked until it holds.
Do we own what you build?
Yes. The custom GPTs, prompts, connectors, and setup all live inside your workspace and are yours to keep. There is no lock-in and no black box, and Phos AI Labs stays on to keep tuning the setup as ChatGPT and your work change.
What does a ChatGPT Team implementation cost?
A ChatGPT Team implementation with Phos AI Labs starts at $10,000 per month, scoped to how many workflows, custom GPTs, and roles are in play. The full Embedded AI Team runs from $10,000 to $50,000 per month. Every engagement includes the workspace and privacy setup, custom GPTs, connectors, the shared library, and training under a single monthly fee.