Most clients start with the retainer. Add discovery or a build team as you need them.
A map of your company, with every opportunity sized and ranked.
Two to four weeks
A fixed fee, set by the size of your team.
Your AI transformation team, working inside your company every month.
Three months, then monthly
A block of hours each month. You choose the size.
A full production team for one platform or product, architecture to launch.
One to two quarters
Priced per build and scoped in writing before it starts.
Not sure which fits? Tell us what you want to get done, and we will tell you.
Talk to our teamPricing depends on your team and the work, so we put it in writing before anything starts.
A Chief AI Officer who owns the roadmap and answers to your leadership.
The code, the infrastructure and the data, in accounts you control.
Every figure agreed in writing, against a named team and an acceptance date.
Training and change management are part of the work, never an add-on.
Your AI transformation team, inside your company every month. A Chief AI Officer who owns the roadmap, plus the strategists, engineers, data specialists and designers the work calls for. It covers strategy, builds, training and change management, with discovery built in for each new need. You choose how many hours a month.
Yes. Some clients want the full team building with them. Others want strategy and consulting, training, or change management on its own. The retainer covers whichever mix you need, and the mix can change month to month.
It is more than that. A fractional executive is one person. You get a Chief AI Officer plus the consultants, developers, data engineers and designers who deliver the work, on one engagement, with a named owner on every seat.
The retainer bills the whole team by the hour in monthly blocks, and you choose the block size. Discovery is a fixed fee, set by the size of your team. A build team is priced per build and scoped in writing before it starts. Every number is in writing before anything starts.
No. Most clients start with the team retainer, and discovery runs inside it: each new need is mapped, built, validated and delivered. Standalone discovery is there when you want the full map of your company before you commit to a team.
The retainer runs month to month after a three-month start. Most clients keep the team well past the first build, many for a year and more, because new needs keep coming and the same team takes them on.
When a platform or product deserves a full production team of its own, usually at larger companies. A build team brings an engineering lead, developers, data, design and DevOps, doing nothing but your build, with its own sprints and acceptance date. It works under the same Chief AI Officer as your retainer.
We align with your leadership team on the long-term goals the work should serve, and agree the shape of the engagement, whether that is a build, training, change management or expert advice. Before any work starts you get the team by name and role, the first deliverable, the acceptance date, and every number, in writing.
It stays where it already lives. We build inside your own data infrastructure, in accounts you control, so your data does not leave your environment. It is never used to train AI models. We sign NDAs as standard, before you share anything sensitive.
Yes. We start with one company: a first-100-days AI plan tied to the value-creation plan, with savings sized in hours and dollars and reported monthly. What works becomes a playbook the next portfolio company can reuse.
You do. Code, infrastructure, documentation, and the data. We build in accounts you control, and we train a named owner on your team so your people can run what we build.
No. They are part of every retainer and every build team. We train your people before launch, measure adoption after it, and report the numbers to you.
Lean teams to private-equity-backed firms, in almost every industry: wealth management, law, apparel, skincare, manufacturing, aerospace, fintech, healthcare, landscaping, and more.
A first conversation with a Chief AI Officer about your goals and what you need, whether that is a build, training, change management or expert advice. We shape the engagement around your answer.