Personal accounts, no guardrails
Claude logins IT never approved, on the free or Pro tier, where what your team pastes in can be used to train the model.
Someone on your team already pays for Claude Pro out of their own pocket and runs half their work through it. Phos AI Labs is the AI department for $5M–$50M companies that turns that one habit into a company-wide Claude rollout: the right plan, the data safeguards your security team signs off on, and Claude wired into the tools your team already opens. As an Anthropic Partner with a CCA-F certified team, we do this the way Anthropic itself would.
Claude implementation is the company-wide rollout of Anthropic's Claude: choosing the right plan (Team or Enterprise) on the privacy tier that keeps your data out of training, setting up Projects, CLAUDE.md context files, and MCP connections to your own tools, then training each role on where Claude fits their work. Here is what most firms miss. The model is the easy part. Somewhere in your company one person has already made Claude indispensable to their day, and that advantage is stuck inside a personal account nobody else can reach. Phos AI Labs finds that edge, connects Claude to your real systems, and turns it into something the whole team runs on.
ANTHROP\C · Anthropic Partner
CCA-F certified team, earned directly with Anthropic
Anthropic Partner
CCA-F certified team, earned directly with Anthropic
40+ AI systems
shipped to production in the last 6 months
~6 weeks
to Claude running across your team
A few people already use Claude every day, on personal Pro accounts, for real work: drafting proposals, reviewing contracts, writing in the company's voice. None of it touches your actual systems, and nobody has decided what data Claude is allowed to see. The advantage stays with whoever set it up.
Claude logins IT never approved, on the free or Pro tier, where what your team pastes in can be used to train the model.
Out of the box, Claude has never read your SOPs, your contracts, or your product docs, so the output is generic and nobody trusts it enough to ship.
Claude sits in a separate tab, copying and pasting in and out, instead of reaching into the systems where the work actually lives.
The one power user has built prompts and a workflow that work, but there is no Project, no shared context, and no way for anyone else to run it the same way.
This engagement takes the Claude one person already proved and makes it something the whole company runs on. Six deliverables, each a named artifact your team keeps.
Claude Team or Enterprise on the tier that keeps your data out of training, with the access rules your security team signs off on.
Your business, voice, and rules written into the files Claude reads first, so it already knows how your company works.
Shared, reusable workspaces for each core workflow, so a proven setup runs the same for everyone instead of living in one person's head.
Claude wired into your real tools and data through the Model Context Protocol, so it works where the work is.
Each person learns exactly where Claude fits their own job, so adoption sticks.
Every setup and permission decision documented in plain language, fully owned by your team.
This rolls out Claude across your company. It is the deliberate first step of the wider generative program, and everything built here is yours to keep and run.
Three phases, each earning the next. Weeks 1 to 2 map where Claude helps most and lock the plan and privacy tier. Weeks 3 to 4 build the context files, Projects, and MCP connections. From week 5, each role trains and adoption gets tracked until it holds.
01
Phos AI Labs finds where Claude saves the most hours, then sets up Team or Enterprise on the tier that keeps your data private.
02
CLAUDE.md context files, Claude Projects for each workflow, and MCP connections to your own tools, all built from your real documents.
03
Each role gets trained inside their own work, then adoption gets tracked until Claude is how the team works by default.
Nothing moves to the next phase until the one before it proves itself.
A Claude rollout rarely stands alone. Teams standardizing on Claude usually also want ChatGPT Team for the roles that live in it, one set of rules across both, or the wider generative program above all of it.
The full picture across models: choosing the right one for each job and building all of it into the workflows your team runs.
Explore →Rolling out ChatGPT Team across the company: shared workspaces, custom GPTs, and the guardrails that keep it useful.
Explore →Rules sized for a lean team, so adoption sticks and everyone uses AI the same way instead of five different ways.
Explore →Know where AI belongs before you spend. A two-week, consultant-led audit that prices every opportunity.
Explore →Same rollout, different documents and rules. Legal runs on contracts and privilege, healthcare on policy with human review, professional services on client templates, manufacturing on spec sheets and SOPs. The context files and permissions are built around what your industry actually handles.
If your work runs on drafting, reviewing, or answering from your own documents, Claude has a place in it.
Three shifts: hours back every week, Claude working from your systems instead of a blank slate, and a setup the whole team can run without depending on one person.
The proposal or contract review that took two hours now takes ten minutes to check and send, across every role that touches it.
Instead of generic answers, Claude works from your SOPs, contracts, and voice, connected to your tools, so what it produces is ready to use.
Every context file, Project, and permission documented, so the advantage keeps running and nothing depends on Phos AI Labs staying in the room.
Context
HRM (Human Resources Mexico) held 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
"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
Most teams buy a stack of Claude seats and hope adoption happens. Phos AI Labs is an Anthropic Partner that sets Claude up the way it is meant to run and stays embedded as the model keeps changing.
Phos AI Labs holds Anthropic Partner status with a CCA-F certified team, both earned directly with Anthropic through a real technical certification in how to deploy Claude. It is standing you cannot buy with a landing page.
A generalist hands you seats and a training slide. Phos AI Labs sets up CLAUDE.md, Projects, and MCP connections so Claude reaches into your real tools and data, which is where the hours actually come back.
New models, new features, and new context limits land constantly. Phos AI Labs stays embedded and retunes your setup as Claude moves, so the rollout keeps compounding instead of aging out.
A Claude implementation with Phos AI Labs starts at $10,000 per month, scoped to how many workflows, roles, and integrations are in play. Every engagement covers the plan and privacy setup, context files, Projects, MCP connections, and role-based training under a single monthly fee.
The spend is often already on your books. A team paying for scattered Claude Pro seats, plus the SaaS licenses those seats half-replace, is already spending close to what one integrated setup costs. Part of the rollout is finding that spend and pointing it at a system the whole company runs on.
From $10,000/mo. The highest-impact workflows set up in Claude on the right plan and privacy tier, connected to your tools, and trained into the roles that use them.
Book a strategy call →$10,000 to $50,000/mo. Your full AI team on retainer: building, connecting, retuning, and training across the whole operation as Claude and your business change.
Book a strategy call →