Four phases. One destination.
What you actually get from Phos.

Every Phos engagement moves through the same four phases.
Where you start depends on your readiness.

PHASE 3

Private AI Workspace

Your company's AI. One place.

Right now, six to twelve people on your team have their own ChatGPT, Claude, or Copilot subscriptions. They're all using them differently. Some are pasting customer data into free-tier tools. Some have stopped using them entirely. You're paying for a dozen licenses and you have no idea what's working, what's not, or where your data is going.

That's not AI adoption. That's chaos with a subscription fee.

Your security team can't sign off on something they can't see. Your leadership can't measure ROI on tools nobody's managing. And your team can't get consistent results when everyone's working in their own silo.

Start now

Your team is using five different AI tools, copying and pasting between tabs, and you have no idea what's working. That stops here.

  1. One place for your entire team.

    No more scattered tools and solo experiments. Everyone works inside a single AI environment built around how your company operates. Same context, same tools, same standards.

  2. You see everything.

    Who's using AI, what they're using it for, how often, and where the gaps are. You stop guessing whether your AI investment is paying off and start seeing exactly where the value is.

  3. Plugged into your stack.

    The workspace connects to the tools your team already runs on. Nothing gets replaced. Everything gets connected. Your team doesn't change how they work. They just get better at it.

Start now

How it works.
Four weeks to deploy. Then it runs.

  1. We audit what your team is already using.

    Who has subscriptions, what tools, what tier, where company data is going. We map the full picture before we build anything.

  2. We deploy your private workspace.

    A single, company-owned AI environment with your branding, your access controls, and your data inside your infrastructure. Same capabilities your team already uses, consolidated and secured.

  3. We migrate your team.

    We move everyone into the workspace, set up usage dashboards, and kill the scattered subscriptions. Your security team signs off before anyone starts using it.

  4. We monitor and optimize.

    The workspace is live, but we don't disappear. We track adoption, surface usage patterns, and help you find the gaps your team hasn't noticed yet.

This is for you if:

  • Your team has six to twelve individual AI subscriptions and nobody's managing them
  • Your security team has concerns about where company data is going
  • You want visibility into who's using AI, how, and whether it's working

This is not for you if:

  • You have one or two people experimenting with AI (you don't need a workspace yet)
  • You want a custom-built AI product for your customers (that's a different engagement)
  • You haven't done the foundational work yet (start with Phase 1)

See our work details

Case study

How HRM turned Mexico labor law expertise into an AI agent available to every employer, at any hour.

Read case study

In partnership with

  • Anthropic
  • Zo
  • Make

FAQs

Where does our company data go?
It stays inside your business. The workspace runs in your own environment with your access controls and your security policies. Nothing flows through a shared public system. Your security team signs off on the setup before anyone uses it.
How is this different from just buying a team plan?
A team plan gives everyone access to the same tool. This gives your company its own space, separate from any vendor's shared system, with controls and visibility built around how your business actually works. Your team stops working inside someone else's environment and starts working inside yours.
What if we've already invested in ChatGPT, Claude, or Copilot licenses?
Good. The workspace doesn't throw that away. It consolidates everything into one place with your branding, your access controls, and your data inside your environment. You keep the capabilities your team already knows but you stop paying for scattered subscriptions nobody's managing.
What does month two look like after the workspace is live?
You start seeing usage patterns you didn't have visibility into before. Which teams are using AI the most, which ones aren't, and where the real opportunities are. We use that data to help you make decisions about where to invest next. The workspace isn't a one-time deployment. It's the foundation everything else gets built on.
What does a Private AI Workspace cost?
There are two parts. Setup starts at $10K, which covers building and deploying your workspace. After that, there's an ongoing monthly fee that varies based on the size of your team and the complexity of your setup. We'll give you both numbers once we know what we're working with.

The fastest way to know whether we're the right fit, is a conversation.

STEP 1/2 · ABOUT YOU