Generative AI consulting
for companies doing $5M–$25M.

You already use ChatGPT. Your company doesn't. We pick the right models, set them up safely, and put them inside the workflows your team runs every day — so the whole business gets the leverage, not just you.

Start with a conversation Take the AI Readiness Scorecard

The model is the easy part. Making your company run on it is the work.

  1. We benchmark. You don't guess.

    There's no single best model — there's a best model for a task. We test Claude, GPT-4, and Gemini against your actual work and hand you the decision criteria, so you're never locked to one vendor.

  2. Safe by default.

    We set the data posture before anyone touches a tool — enterprise or API tiers that don't train on your inputs, company data kept inside your walls, and rules your security team signs off on.

  3. Built to be adopted.

    Generic ChatGPT gives generic answers, so people drift back to doing it by hand. We feed the model your context and train each role on its real work, so the leverage actually lands.

Start now

How it works.
A few weeks to first value. Then it compounds.

  1. We map the highest-value workflows.

    We find the language-shaped work — drafting, summarizing, answering from your own documents — that's costing your team the most time, and rank where generative AI pays off.

  2. We set up the models, safely.

    The right models on the right privacy tier, with the prompts and context packs that turn a generic assistant into one that knows your business. Your data stays inside your environment.

  3. We put it in the workflow and train the team.

    Generative AI wired into the tools you already use, plus role-based training so each person sees where it fits their Tuesday. Then we measure adoption and close the gaps.

This is for you if:

  • You already use ChatGPT personally, but the company doesn't.
  • Your work is full of drafting, summarizing, and answering from your own documents.
  • You want adoption across the team, not another tool a few people try.

This is not for you if:

  • You need outputs that must be exact every time — billing, tax, compliance figures.
  • Nobody has time to review what the AI produces.
  • You want a custom AI product for your customers (that's a different build).

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

What is generative AI consulting?
Generative AI consulting is hands-on help deciding where large language models like Claude, GPT-4, and Gemini fit your business, then installing them into real workflows — not a strategy deck. A good engagement covers model selection, data and privacy posture, the prompts and context that make a model useful, and training so your team actually adopts it.
How is generative AI consulting different from regular AI consulting?
Regular AI consulting covers the whole field, including predictive models and automation. Generative AI consulting is specifically about generative models — the ones that write, summarize, draft, and converse. If your question is "how do we put ChatGPT or Claude to work across the company without leaking data or wasting licenses," that's the generative slice.
Which model should we use — Claude, GPT-4, or Gemini?
It depends on the work, and you usually want more than one. We benchmark the shortlist against your actual tasks rather than the leaderboard: Claude for long-document reasoning and writing in your voice, GPT-4 for breadth and ecosystem, Gemini where you already live in Google Workspace. The decision criteria — not a single fixed answer — is part of what you get.
Is our data safe with generative AI?
It can be, if it's set up right. We keep company data inside your environment, use enterprise or API tiers that don't train on your inputs, and write the access rules your security team signs off on before anyone starts. Most data risk comes from staff pasting into free-tier tools — which is exactly what a managed rollout removes.
What does generative AI consulting cost?
Engagements start at $10,000. The investment scales with how many workflows we put generative AI into and how many people we train. We give you a specific number once we understand the scope — and real outcomes to weigh it against, like 75% of administration automated at GAF.

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

STEP 1/2 · ABOUT YOU