Your team already runs on AI. It just runs on ten personal logins, with company data spread across tools no one approved. Phos AI Labs sets the rules, the access, and the review gates that make AI safe to use company-wide, sized for a lean team.
AI governance is the set of rules, access controls, and review steps that decide who can use AI, on what data, and how it gets shipped. Here is what most companies miss: by the time leadership writes a policy, the whole team is already using AI on their own logins, and the real risk is not a future rollout, it is the ungoverned one running right now. Phos AI Labs closes that gap with governance a lean team will actually follow, so adoption speeds up instead of freezing.
Select Partner with CCA-F certified team
40+ AI systems
shipped to production in the last 6 months, each with access controls and audit logging built in
Zero data-privacy incidents
across those builds, with governance set up inside the tools and data where the work happens
Trusted across 300+ builds
Because adoption never waits for permission. One person finds a tool that saves them hours, tells two coworkers, and within a quarter half the company is pasting real data into logins IT never approved. The exposure is already live. The policy is still a draft.
AI made building easy, so everyone is doing it. Teams spin up their own agents and workflows with no shared standard, and no one can see what was built or what it touches.
The best AI work is happening on free and personal accounts, with customer records and financials flowing through tools that were never reviewed for privacy or security.
Without a standard, every team uses AI differently. Output quality swings, nothing is repeatable, and what one person figured out never becomes how the company works.
Things go live before anyone checks the data access, the accuracy, or the compliance exposure, and the first time leadership hears about a system is when something breaks.
A policy PDF no one reads changes nothing.
Phos AI Labs installs governance where the work happens: the tools people use, the data they can reach, and the steps every AI system passes before it goes live. Light enough for a lean team, firm enough to trust.
Plain-language rules for who can use AI, on what data, and where. Written so people actually follow them.
The sanctioned stack: which tools and models for which jobs, and the ones that are off-limits for company data.
What data is sensitive, who can reach it, and role-based access rules so the wrong person never sees the wrong record.
Every AI tool and personal login already in use across the company, surfaced and sorted into keep, replace, or shut down.
The checkpoints an AI system passes before production: data access, accuracy, security, and a clear go or go-with-conditions call.
Logging and oversight so every AI action is traceable, and leadership can see what is running and what it touches.
Your AI use lined up against the regulations and client requirements that apply to your industry.
How the policy reaches every team, with the training that makes adoption stick.
Who owns AI governance internally, and the runbook that keeps it current as tools and models change.
One governance engagement, mapped to how your company already uses AI, run over 3 to 4 weeks. We find the real exposure first, then build rules around reality.
Our voice interview agent and our consultants talk to leadership and the floor, capturing how people actually use AI today, including the tools and logins no one has admitted to yet.
We inventory every AI tool, account, and workflow already running across the company, and flag where real data is moving through unreviewed systems.
We classify your data, map who can reach what, and rank the exposure so the highest-risk gaps rise to the top instead of getting lost in a checklist.
We write the usage policy, set the approved tool and model standard, define role-based access, and stand up the review gates every future AI system will pass through.
We roll the policy out to every team, train them on it, and name an internal owner with a runbook, so governance holds after we hand it off.
Governance sits alongside the rest of the engagement. Each of these builds on the same foundation: a clear picture of where AI belongs and how it should run.
Choosing the right model and prompt architecture for each job, so accuracy holds and the hours it saves actually show up.
As an Anthropic partner, a real rollout: CLAUDE.md, MCP, and permissions set up so Claude works across the whole company.
Products and internal systems built on OpenAI's models through the API: the right model for each job across text, voice, and images, wired into your own data.
A fixed-scope audit of your tools, team, and data that prices every opportunity, with governance scored as one of its dimensions.
A law firm handling privileged files and an ecommerce brand moving customer data do not carry the same risk, even at the same size. The rules have to match what you actually handle.
If your work runs on drafting, summarizing, or answering from your own documents, there is a fit.
Book a callCompanies come to Phos AI Labs because AI is already everywhere and no one is holding the wheel. They leave with adoption that is faster, safer, and finally consistent across the whole team.
Governance stops being the thing that slows AI down. With clear rules and approved tools, people move faster because they finally know what they are allowed to do.
The scattered, five-different-ways problem is gone. Everyone uses the same approved stack the same way, so quality holds and what one person figures out becomes how the company runs.
No more surprises. Every AI system and every login is accounted for, logged, and traceable, so you know exactly what is running on your data at any moment.
It shows up in three places: systems that ship safe by design, the requirements rigor clients feel along the way, and results that prove safe and fast work together.
CONTEXT
HRM turned 16 years of Mexico labor-law expertise into an AI specialist that answers any employer at any hour. The governance story is in the build: it was architected so it cannot answer outside its verified knowledge.
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
A template gives you rules with no teeth, and a traditional compliance firm has never shipped an AI system. Phos AI Labs governs AI the way only a team that builds AI can, and stays embedded as your stack changes.
Most AI-governance advice comes from people who have never deployed an AI system. We ship 40+ into production a year, with access controls, audit logging, and review gates built in. We govern from the inside because we know where things actually break.
Enterprise governance frameworks assume a compliance department you do not have. Phos AI Labs builds the version that fits a $5M+ company: firm enough to trust, light enough that your team will actually follow it.
AI does not sit still, so governance cannot either. New models, new tools, and new regulations land constantly. Phos AI Labs stays embedded to keep your policy, your approved stack, and your review gates current as the ground shifts.
AI governance with Phos AI Labs starts at $10,000 for the governance engagement and scales with the size and risk profile of your company. From there, staying embedded to keep it current is a monthly engagement, and most companies fold governance into the broader AI audit rather than buying it alone.
Governance Engagement
The full 3-to-4-week engagement: every deliverable above, from the AI Usage Policy to the review gates and the internal owner's runbook. Priced to the size and risk profile of your company. You own all of it.
Book a strategy callGovernance Inside the Audit
Governance is one of the four dimensions we score in the full audit. If you are already engaging Phos AI Labs to find where AI belongs, governance is built into that work.
See the auditEmbedded, Ongoing
We stay on to keep your policy, approved stack, access rules, and review gates current as models, tools, and regulations change, as part of an embedded AI department engagement.
Talk through scopeThe real cost is not the engagement. It is one leaked customer file, one compliance miss, or a year of every team using AI a different way. Governance is the cheapest insurance a company running on AI can buy, and the fastest way to make adoption pay off.
The tools and reads that sharpen the governance conversation before you ever book a call.
Ten questions, a personalized score. See where your company stands, including how exposed your current AI use already is.
Explore →A three-minute voice-driven audit, the same interview method used in the full engagement, in miniature.
Explore →The full picture: where AI belongs in your business, with governance as one of the four dimensions we score.
Explore →The full library of what Phos AI Labs has shipped, with the numbers behind each build.
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