We help companies put AI to work: train your people, set sensible guardrails, build the tools you need, and figure out where it actually belongs in your business.
We start with how your business runs today. Before suggesting any tool, we want to understand the work your teams do, the data they touch, and the rules you have to live with. Tools that ignore that never get used, and we have seen plenty of them gather dust.
The work itself is hands-on. We train the people who will use the tools, sit with your operators to redesign a workflow, write the acceptable-use policy with your security lead, or build a prototype with your engineers. Some clients book a day or two for a workshop. Others keep us on a monthly retainer while AI becomes part of how they work.
We do not push tools for the sake of it. If a problem is better handled without AI, or with software you already own, we will tell you.
These come up in most engagements. We set the scope per client based on where AI will help and where the risks need watching.
Training built around what each group does. Leadership, operations, sales, and technical staff all use AI differently, so we run separate sessions instead of one generic overview. People leave knowing which tools to open for the work in front of them.
A straight read on what is actually changing and what it means for you. The space moves fast and most of it is noise. We tell you which tools are worth adopting now, which can wait, and where AI is the wrong answer.
We look at how the company already works and find the spots where AI helps. Usually that is the repetitive, document-heavy work. We design the new process with your team and keep a human in the loop where it counts.
Using AI without putting the business at risk. We cover data handling and privacy, which tools and models to trust, an acceptable-use policy your team will follow, and the specific failure modes like prompt injection and data leakage.
Help designing and building AI tools, from internal assistants and document pipelines to customer-facing features. We can advise your team, build a prototype with your engineers, or scope the whole thing with the right model and testing in place.
The everyday skill of getting good output from these tools. We teach prompting that holds up in real use, set up reusable prompts your team can share, and help you pick between a chat assistant, an agent, or plain automation for each job.
Up to four working hours. Useful for a focused training session, an AI readiness review, or a single-team workshop.
A full working day on-site or remote. Used for company-wide training, workflow audits, governance sessions, and active build days.
Day rates cover one principal. On some engagements we suggest bringing in an additional team member so two parts of the work can run at once. For example, a principal works with the executive team while an associate runs sessions with employees, or one of us takes a specific breakout while the other keeps the main group moving. When we think that helps, we scope it and quote the added time before the work starts.
Multi-month adoption programs, ongoing advisory, and application builds are priced separately based on time commitment, scope, and the level of hands-on involvement. We will quote the full structure in writing before any work begins, and travel is billed separately when on-site time is required.
Questions we hear a lot about training, adoption, security, and building AI tools.
It depends on where your team is. The usual work is training, strategy and trend briefings, fitting AI into your workflows, security and governance, building AI tools, and getting good at prompting and choosing the right tool. We can run a one-off workshop, lead a longer rollout, or build something with you.
A full day is $2,000 and a half day is $1,000. That covers training, workshops, readiness reviews, and build days. Longer rollouts, ongoing advisory, and bigger builds are quoted separately based on the scope, how long it runs, and how hands-on we need to be.
Both. We run sessions for leadership, operations, sales, and other non-technical staff, plus deeper technical sessions for engineers. Each group works with the tools that fit their job instead of sitting through a one-size-fits-all overview.
Security is part of every engagement. We cover data handling and privacy, which tools and models to trust, an acceptable-use policy your team will actually follow, and the AI-specific risks like prompt injection and data leakage. We stay vendor-neutral and keep sensitive data out of third-party tools where it needs to stay in-house.
Yes. We build AI tools too, from internal assistants and document pipelines to customer-facing features. We can advise your team, build a prototype with your engineers, or scope the whole thing with the right model and testing in place.
It starts with a short call about where your team is with AI, the data and constraints you work with, and what you want to get done. If we are a fit, we send a written scope with the day rate or retainer, and work usually starts within a week or two.
Tell us where your team is with AI today and what you are hoping to do with it. We will get back to you and figure out whether we are a good fit.