AI Consulting, Deployment & Training

It's a working conversation about how your team uses AI today, where the hours go, and what's stuck. You'll leave with a short list of opportunities worth exploring, whether or not we end up working together.

Your data stays yours. We configure every AI deployment so your prompts and files are not used to train the underlying models, and we set permissions so the AI only sees what each person is already allowed to see. We treat this the same way we have treated every other security decision for the last twenty years: verify first, trust after.

Yes. An acceptable use policy tells your team what AI can touch, what stays off limits, and who is accountable when something goes wrong. We help you write one that fits how your business works, not a generic template pulled off the internet. It becomes part of the safety guardrails we put in place before anyone gets access to a new tool.

Platform licenses are priced per user. Assessments, builds, and ongoing support are scoped after the first conversation, once we understand the workflows involved.

It depends on the workflow and the systems it touches. Simple automations can be running quickly; agents that span several systems take longer. Yamamoto Law's document review automation took under 20 hours. After the assessment, we'll give you a timeline for your specific workflow.

Less than most people expect. Your team explains how the work gets done and reviews what we build. We handle the design, the build, and the deployment.

No, and the businesses that lay people off the moment they find an AI efficiency usually regret it. Cutting headcount teaches your team to stop finding efficiencies, since finding one costs them their job. We have watched every major technology shift for twenty years, and the businesses that grew were the ones that let their people take on five times the work instead of doing the same work with fewer people.

Deployment and training are the start, not the finish. We stay engaged afterward, watching for new use cases, refreshing training as the tools change, and helping you standardize the skills and prompts that work so they spread across your team instead of living in one person's head. AI moves fast enough that the relationship has to be ongoing, not a project with an end date.

Sometimes, which is why we never hand someone a tool and walk away. Every deployment includes training on how to verify AI output before it goes into a client email, a legal filing, or a financial report. The tool gets faster at drafting. Your team stays responsible for checking the work, the same way they would check a junior colleague's first draft.

The right answer depends on how your team works. In business settings, two tools have pulled ahead: ChatGPT and Claude, and they leapfrog each other every few months, which is good news for everyone using them. ChatGPT started with consumers and added business features later. Claude, from Anthropic, started with the enterprise. If your team lives in Microsoft 365 or Google Workspace, Copilot or Gemini can be the natural first step. Whichever you pick, how you deploy it matters more than the logo on the login screen.