Line drawing of three rocket boosters strapped together, with fins and three nozzles at the base.

Corporate AI training built around each person's actual job

Your team has the tools. Nobody has shown them where AI fits the work they were hired to do. Phos AI Labs trains role by role on live tasks, and every person walks out with a written playbook for their own job.

Book a strategy call →Take the AI Readiness Scorecard

Corporate AI training teaches each role how to use AI on the work they already own, then puts the guidance in writing so the habit survives the session. Phos AI Labs observes how a role actually runs, builds the session on the tasks that eat it, and hands each person a playbook they keep.

Most programs teach the software and hope people find the use case on their own. Phos AI Labs starts inside the week instead.

OpenAI Select Partner and Claude Partner Network

Claude (Anthropic) Partner · Select OpenAI Partner · CCA-F certified team

  • 51 field trainers

    trained and fully mobile in one program

  • 4 to 6 weeks

    to working fluency, department by department

Trusted across 450+ builds

  • American Express
  • Coca-Cola
  • Sotheby's
  • Medtronic
  • Dataiku
  • Margaritaville
  • Zapier
  • Whitecoat Planning

Why do most AI trainings change nothing?

Because they teach a tool to a room. Everyone leaves impressed, opens an inbox with 40 unread emails, and does the job exactly the way they did it last week.

  • Built around the software

    The session covers what the model can do in general. Nobody in the room finds out what it does for the report they owe on Friday.

  • One session, mixed room

    Sales, finance, and operations sit through the same slides. Two thirds of every example belongs to somebody else's job.

  • Nothing written down

    The screen recording gets shared once and never opened. Three weeks later people remember the vibe of the session and none of the prompts.

  • No idea who actually adopted it

    There is no report showing who kept using AI and who quietly stopped, so the follow-up never happens and the budget looks like it worked.

When the UK Department for Business and Trade evaluated its own Copilot rollout, 72% of people said they were satisfied and the evaluation found no robust evidence that any of it made the department more productive. A good review and a changed workflow are two different results.

The week your team runs, rebuilt

Every session is written for one role and delivered on live work.

People bring the proposal, the reconciliation, or the ticket queue they actually owe, and they leave with it done. That is deliberate. A skill learned on a sample file rarely survives contact with real work.

What you walk away with

  1. 01

    Role observation notes

    What each department really does all week, including the workarounds that never made it into a process doc.

  2. 02

    AI literacy baseline

    The shared floor for everyone: what these models do well, where they fail, and what never goes into one.

  3. 03

    Role workshops

    Live, task-based sessions, one role at a time, run inside the normal working week.

  4. 04

    Role playbooks

    A written guide per role: where AI fits that job, where it does not, and how to tell the difference. Each person keeps theirs.

  5. 05

    Prompt library

    The prompts that survived real work, versioned in one place the whole company can reuse.

  6. 06

    AI use policy

    Plain-English rules on what is allowed and where company data can go, short enough that people actually read it.

  7. 07

    Champion bench

    One trained internal champion per department, briefed to answer the questions that come up after we leave.

  8. 08

    Adoption dashboard

    Who is using AI, on what, how often, and which teams have gone quiet.

  9. 09

    Follow-up sessions

    Targeted rounds at two weeks and six weeks, aimed only where the adoption numbers say they are needed.

  10. 10

    Model refreshers

    When a major model lands, your team gets the update and the revised playbook.

What actually happens once you start?

Role by role, department by department. Four to six weeks to working fluency.

  1. 01

    We watch your team work

    Before we train anyone, we sit with each department and study how the work really gets done. The training gets built against reality, and your team gets to know how we work.

  2. 02

    We build the session around what we found

    Sales gets a different session from operations. Customer support gets a different session from finance. Every example comes out of that team's own week.

  3. 03

    We train on live tasks

    People bring work they actually owe and leave having finished it with AI. Nobody is pulled out of their job for a week; sessions run inside the normal schedule.

  4. 04

    We leave a playbook every person keeps

    Each role gets a written guide plus the prompts that worked. The sessions end. The playbook, the policy, and the prompt library stay inside the company.

  5. 05

    We measure adoption and close the gaps

    Two weeks and six weeks out we look at who is still using AI and who stopped, then run follow-up rounds exactly where the numbers point.

Where does this sit in the engagement?

  1. 01

    AI Consulting

    The audit that finds where AI belongs and what it is worth.

    See AI Consulting →
  2. 02

    AI Enablement

    Team Training is the core engagement inside this phase.

    See AI Enablement →
  3. 03

    AI Implementation

    Agents and systems that run the work, built and embedded.

    See AI Implementation →

This is for you if:

  • Your team has AI tools and adoption is uneven or stalled.
  • Leadership wants AI to be how the team works instead of a side experiment.
  • You will let us tie training to real workflows.

This is not for you if:

  • You want one all-hands webinar and nothing after it.
  • Nobody is willing to change how the work gets done.
  • Your team has no AI tools yet, in which case start with the audit.

What sits next to Team Training?

Training is one half of AI Enablement. The other half is a deep rollout of the model your company standardizes on, and both run against the same playbooks.

  • Claude for Business

    As an Anthropic partner, a real Claude rollout across the company: projects, permissions, shared context, and the training that makes it stick.

  • Claude Code for Business

    A free mini course for non-technical operators. The fastest way to give part of the team hands-on fluency this week.

Why does AI training look different in every industry?

A dispatcher, a claims adjuster, and a paralegal all lose hours to desk work, and none of them lose them in the same place. Sessions are written against the operation in front of us.

Aviation Manufacturing Healthcare
Finance Advisory Insurance Real Estate
Ecommerce Logistics Staffing
HR SaaS Construction
Field Service Legal Retail
Accounting Marketing Property Management

Don’t see your industry?

If your work runs on drafting, summarizing, or answering from your own documents, there is a fit.

Book a call

What does this actually change?

Companies come to Phos AI Labs after a training that did not take. They leave with people who reach for AI without being asked, guidance in writing, and a number that shows who changed.

  1. 01

    People who reach for it on their own

    The habit forms because it formed on real work. Nobody has to remind the team that the tool exists.

  2. 02

    Guidance that outlives the session

    Playbooks, prompts, and one policy live in the company. Onboarding a new hire on AI becomes a document instead of a favor.

  3. 03

    Adoption you can see

    You know which departments are using AI, on what, and how often. The follow-up goes where the gap is instead of everywhere at once.

Does training actually show up in the numbers?

It shows up in three places: administrative hours that disappear, work that stops routing through one person, and clients who start building their own automations without calling us.

GAF

CONTEXT

The largest roofing contractor training program in North America, 1,200 events a year across 51 field trainers, all running on a spreadsheet.

WHAT THE TRAINING CHANGED

Phos AI Labs rebuilt the operation and trained a field team of roofing experts to run it from a phone. Nobody in that room was hired for their software skills.

We were using spreadsheets and hoping nothing fell through the cracks. After working with Phos AI Labs, their AI implementation handles 75% of the administration and the team handles the work they're actually great at.

— Matt Hegge, Director, GAF

Read the full story →

Why Phos AI Labs over a training vendor or a course subscription?

A course teaches the tool and leaves the fit to the learner. Phos AI Labs finds the fit first, then trains against it. We spend the rest of our week building the systems these people will be using.

  1. 01

    We build what we teach

    We are an implementation firm that trains. Every session points at a workflow that is going into production, so the skills land on something that still exists six months from now.

  2. 02

    We have actually done this

    A new AI training company launches every week with a landing page and a slide deck. Most have never trained 51 field workers whose expertise is roofing, or run a rollout inside a growing company. We have, again and again.

  3. 03

    Nobody gets left behind

    Anyone who can do their job can do this. We assume no technical skill, we do not rush the room, and we build every session so people walk out able to repeat what they just did.

How much does corporate AI training cost?

Team Training with Phos AI Labs starts at $10,000 and scales with how many people and departments are in scope. Most companies start with one department, get a number they can point at, and expand from there.

  • Single department

    from $10,000 fixed

    One team, four to six weeks, every deliverable above scoped to that department. The usual first move when leadership wants proof before committing the company.

    Book a strategy call

  • Company-wide training

    from $10,000 by scope

    Priced by headcount and departments in scope. Every role trained, one policy, one prompt library, one adoption dashboard across the business.

    Talk scope

  • Training inside an embedded engagement

    from $10,000 to $50,000 /mo.

    Training folded into an ongoing build, so every new system ships with the people who run it already fluent on it.

    Talk scope

You are already paying for this twice. The seats sitting unused have a monthly cost. So do the hours your team spends on work those seats were bought to absorb. One department moving from occasional use to daily use usually returns more in a quarter than the engagement costs, and the license invoice never changes.

Keep going

Four ways to see where your team stands before you book anything.

  1. 01

    AI Readiness Scorecard

    Ten questions, a personalized score. See where your company stands before you talk to anyone.

    Explore →
  2. 02

    Claude Code for Business

    A free mini course for non-technical founders and operators. Hands-on fluency for part of the team this week.

    Explore →
  3. 03

    Deploy Claude Blueprint

    The six-step guide to rolling Claude out across a team, free.

    Explore →
  4. 04

    Case Studies

    The full library of what Phos AI Labs has shipped, with the numbers behind each build.

    Explore →

In partnership with

  • Anthropic
  • OpenAI
  • Zo
  • Make

FAQs

What is corporate AI training?
Corporate AI training teaches each role how to use AI on the work they already own, then leaves the guidance in writing so the habit holds. Phos AI Labs observes how a department actually works, runs task-based sessions on live work, and hands every person a playbook for their own job.
We already did an AI training. Why is this different?
Most trainings teach what a tool can do. This one finds where AI fits each person's actual job first. We sit with every role, build the session around the work they do that week, and leave a written playbook, so people know what to use, when, and when to trust their own judgment instead.
How long does it take, and does it disrupt the schedule?
Four to six weeks per department to reach working fluency. Sessions run inside the normal working week and are built around your team's availability. Nobody gets pulled out of their job for a week of classroom time.
How much does corporate AI training cost?
Team Training starts at $10,000 and scales with how many people and departments are in scope. A single-department engagement is the common starting point. Training folded into ongoing implementation is part of an engagement that typically runs $10,000 to $50,000 a month, depending on scope.
Half our team already uses AI and the other half never touched it. Does that work?
That is the most common room we walk into. The confident half usually has blind spots on accuracy and data handling. The hesitant half usually needs one example from their own week. Sessions are built per role, so both groups leave with something they did not have.
Can we start with one department and expand later?
Yes, and most companies do. The first department gives you adoption numbers you can put in front of leadership when you make the case for the rest of the business. The playbooks and policy built in round one carry straight into round two.
Do we own the playbooks and the policy?
Yes. The role playbooks, prompt library, AI use policy, and adoption data live inside your company and are yours to keep. New hires get onboarded from the same documents, and Phos AI Labs updates them when a major model changes what the guidance should say.
We have seen government studies saying Copilot saved people 26 minutes a day. Which one is right?
Both, and the difference is the method. The cross-government trial and the Department for Work and Pensions trial asked people to estimate their own time savings and reported positive results. The DWP evaluation says in its own limitations that licenses were not allocated randomly and there was no pre-trial baseline. The Department for Business and Trade study looked for productivity evidence and could not find it. That is why we measure a number before training starts.

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

STEP 1/2 · ABOUT YOU