Generative AI rolled out across a company: model selection, data safeguards, prompts built from the company's own documents, and integration into the tools a team already opens.

Generative AI Consulting for companies already using AI.

Someone on your team already pays for Claude Pro or ChatGPT Plus out of their own pocket and uses it every day. Phos AI Labs is the AI department for $5M–$50M companies that turns that one habit into projects, agents, and integrations the whole company runs on, with the data safeguards your security team signs off on first.

Book a strategy call → Take the AI Readiness Scorecard

Generative AI consulting is the setup and rollout of models like Claude, ChatGPT, and Gemini across a company: model selection, data safeguards, prompts built from your own documents, integration into the tools your team already opens, and role-based training. Here is what most firms miss. The model is the easy part. Somewhere in your company one person has already made it work for themselves, and that advantage is trapped in a personal account nobody else can reach. Phos AI Labs finds that edge, ranks it by what it saves, and builds it into a system the whole team can run.

Anthropic and OpenAI

Anthropic Partner and OpenAI Select Partner, CCA-F certified

  • 40+ AI systems

    shipped to production in the last 6 months

  • ~6 weeks

    to your first working AI system

Trusted across 300+ builds

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

Why doesn't personal AI use turn into company-wide adoption?

A few people already use ChatGPT or Claude every day, on personal accounts, for real work: drafting RFPs, summarizing contracts, building rough schedules. None of it is connected to company systems, and nobody has decided what data those tools can see. The time saved stays with one person.

  • Shadow AI

    ChatGPT and Claude logins IT never approved, with no record of what got pasted in or what got asked.

  • Generic answers

    A model that has never seen your SOPs, your contracts, or your product gives generic output nobody trusts enough to use.

  • Everyone prompts differently

    Five people using the same model five different ways, so the output changes with whoever typed the prompt and nothing is repeatable.

  • Seats without a system

    A stack of personal Claude Pro and ChatGPT Plus subscriptions billed to expense reports, doing a fraction of what one integrated setup could for the same spend.

What we do - What you get

The model is the easy part. Your team is the work.

This engagement takes the AI one person already proved and makes it something the whole company can run. Six deliverables, each one a named artifact your team keeps.

What you walk away with

  1. 01

    Use-Case Roadmap

    The workflows worth automating first, ranked by time saved and dollar impact.

  2. 02

    Model and Data Setup

    The right model on the right privacy tier, with the access rules your security team signs off on.

  3. 03

    Prompts and Context Packs

    Built from your own documents, so the model already knows your business.

  4. 04

    Working Integrations

    The model lives inside the tools your team opens every day, right where the work already happens.

  5. 05

    Role-Specific Training

    Each person learns exactly where AI fits their own work, so adoption sticks.

  6. 06

    Owner's Manual

    Every setup and model decision documented in plain language, fully owned by your team.

How does generative AI consulting work?

Three phases, each one earning the next. Weeks 1 to 2 build the roadmap, ranked by time and dollars saved. Weeks 3 to 4 set up the model and privacy tier. From week 5, the team trains and adoption gets tracked until it holds.

  1. Weeks 1–2

    Roadmap

    Phos AI Labs watches where your team's hours actually go, then ranks each workflow by time saved and dollars recovered.

  2. Weeks 3–4

    Setup

    The right model gets chosen on the right privacy tier, with prompts and context packs built from your own files.

  3. Week 5 onward

    Rollout

    Each role gets trained inside their own work, then adoption gets tracked until it holds.

Nothing moves to the next phase until the one before it proves itself.

What does Phos AI Labs handle that a generalist can't?

Generative AI is not one job. Rolling out Claude across a company, building a production system on OpenAI's models, and writing the rules that keep both safe each need a specialist who has shipped it before.

  • Claude Consulting

    As an Anthropic partner, a real rollout: CLAUDE.md, MCP, and permissions set up so Claude works across the whole company.

    Explore → — Claude Consulting

  • OpenAI Consulting

    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.

    Explore → — OpenAI Consulting

  • AI Governance

    Rules sized for a lean team, so adoption sticks and everyone uses AI the same way instead of five different ways.

    Explore → — AI Governance

  • AI Readiness Audit

    Know where AI belongs before you spend. A two-week, consultant-led audit that prices every opportunity.

    Explore → — AI Readiness Audit

Why does the right generative AI entry point depend on your industry?

Same setup, different documents. Manufacturing runs on spec sheets and work orders, distribution on past quotes, professional services on client templates, healthcare on policy with human review. The model learns the documents that make your industry specific.

Aviation Creative Industry Transportation
Manufacturing Professional Healthcare

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 actually changes after the setup?

Three shifts: hours back every week, one shared answer across the team instead of one person's memory, and a system that keeps running after Phos AI Labs leaves the room.

  1. 01

    Hours back, every week

    The draft that took two hours now takes ten minutes to review and send, across every role that touches it.

  2. 02

    One version of the answer

    Everyone pulls from the same SOPs and contracts, so the answer is the same no matter who gets asked or when.

  3. 03

    A system your team owns

    Every prompt and setup decision documented, so the advantage keeps running and nothing depends on Phos AI Labs staying in the room.

Does the setup 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 (Human Resources Mexico)

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.

RESULT

250% more leads versus the prior year, with zero 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

Read the full story →

Why Phos AI Labs instead of a generalist consultant?

Most firms hand you a deck or a single model and move on. Phos AI Labs embeds as your AI team and keeps tuning it, because the model landscape does not sit still and neither do we.

  1. 01

    Built to hold up in production

    A new “AI agency” launches every week with a landing page and no case studies. Phos AI Labs has put model integrations into production repeatedly this year, inside real teams, with the data rules signed off before anyone touched a tool.

  2. 02

    The model keeps changing, so do we

    A prompt that worked in March can drift by June, and a model update can quietly change how it behaves. Phos AI Labs stays embedded and retunes the setup as the models themselves move.

  3. 03

    Certified with both, loyal to neither

    Phos AI Labs holds Anthropic Partner and OpenAI Select Partner status, both technical certifications earned directly with each company, with no commission or reseller structure attached. The recommendation comes from your actual tasks.

How much does generative AI consulting cost?

Generative AI consulting with Phos AI Labs starts at $10,000 per month, scoped to how many workflows, models, and roles are in play. Every engagement covers the roadmap, model and data setup, prompts, integration, and role-based training under a single monthly fee.

  • Phase 1 Rollout

    from $10,000 /mo.

    The highest-impact workflow from your roadmap, set up on the right model and privacy tier, integrated, and trained into the roles that use it.

    Book a strategy call

  • Embedded AI Team

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

    Your full generative AI team on retainer: building, integrating, retuning, and training across the whole operation as the models change.

    Talk through scope

The spend is often already sitting on your books. A team paying for scattered Claude and ChatGPT seats, plus the SaaS licenses those seats half-replace, is already spending what one integrated system costs. Part of the setup is finding that spend and pointing it at a system the whole company runs on.

FAQs

What is generative AI consulting?
Generative AI consulting is deciding where models like Claude, ChatGPT, and Gemini fit your business, then building them into the workflows your team runs every day. Phos AI Labs sets up the model, writes the data safeguards, and trains it on your own documents so the answers are specific to your business.
How is generative AI consulting different from regular AI consulting?
AI consulting covers the full field, including automation and predictive models. Generative AI consulting is the specialist slice focused on models that write, draft, summarize, and converse. It is the work of putting Claude or ChatGPT into production without leaking data or wasting licenses.
Which model should we use, Claude, ChatGPT, or Gemini?
It depends on the work, and usually more than one earns a place. Phos AI Labs benchmarks the shortlist against your actual tasks. Claude tends to win at long documents and writing in your voice, ChatGPT at breadth and ecosystem, Gemini where the team already lives in Google Workspace.
Is our data safe with generative AI?
It can be, when it is set up correctly. The free versions of ChatGPT and Claude can use what your team types to improve their own models. Phos AI Labs moves your company onto the business tier, where your data stays private, then writes the access rules your security team signs off on.
Do we own what you build?
Yes. The prompts, the setup, and the training all live inside your company and are yours to keep. There is no lock-in and no black box, and Phos AI Labs stays on to keep tuning the system as your team and your work change.
Is this for us if someone already uses ChatGPT on their own?
That is exactly who this is built for. The buyer has usually already proven AI works for themselves, but it has never scaled past one person. Phos AI Labs turns that one person's advantage into something the whole team runs on.
What does generative AI consulting cost?
Generative AI consulting with Phos AI Labs starts at $10,000 per month, scoped to how many workflows, models, and roles are in play. The full Embedded AI Team runs from $10,000 to $50,000 per month. Every engagement includes the roadmap, model and data setup, prompts, integration, and training under a single monthly fee.

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

STEP 1/2 · ABOUT YOU