AI for business teams - AI your team can run without waiting on engineering.
For the marketing, sales, or operations team told to adopt AI, with no engineering support and a budget nobody wants to waste.
You do not need a platform, a transformation program, or a seat at the software team’s planning meeting. You need two or three things that work, and that your own people can understand, can operate and can change.
The goal is yours. The engineers aren’t.
You got the message: every team is going to integrate AI. You have budget authority and a number to hit, and the “now what” question is looming.
Maybe your team got access to Copilot Studio, Claude Cowork, or ChatGPT Business, and they’re not sure how to translate their work into something AI can reliably handle.
Just as often you’re accountable for an AI adoption goal but the platform is owned by engineering, and your team’s requests keep sliding down the roadmap. No one’s behaving badly, it’s just how prioritization lands from your perspective.
So you are choosing between waiting for help from a team that is genuinely busy with their own AI journey, or letting your people improvise on their own. Improvising can get what you need now, but there’s the lingering fear of surprise token bills, grumpy comments from engineering about maintenance, or an empty update for the board.
We give you a third way. We sit with your team, find the work worth automating, build it alongside them, and give them the skills and confidence they need to operate it without waiting on engineering or being dependent on us.
AI Workflow Review
Whether your team has built dozens already or is stuck on where to start.
About a week of analysis. A short survey across the team, then three to five conversations with the people doing the work. You get a written picture of where AI actually sits in the team’s day-to-day, and a short ordered list of what to tackle next so your team can start right away.
For teams with a blank page, you’ll get two or three jobs worth automating: achievable, high-impact, and positioned to build confidence and buy-in, while avoiding the trap project that will consume a quarter and the rest of the year’s token budget.
For teams that have already started building, we’ll put together an inventory and identify areas for improvement: spreadsheets with API keys in them, the Copilot flow project someone set up before transferring teams. The things everyone forgot about that will break when a vendor tweaks the model. We can get you on a path to getting your AI flows structured so your AI processes are as well organized as anything engineering runs.
Every recommendation is scoped properly for your team. We’ll either hand you something your team can confidently run, or tell you honestly when a piece of work needs to be owned by your software team rather than trying to route around them.
What follows - Building it, and keeping it running.
The review stands on its own. If you want help with what it turns up, these are the shapes that usually make sense.
- Building the workflows with you. We embed with your team, build the thing, and coach the people who will be running it while we do. The goal is that you can change it yourself afterwards. No vendor lock-in, and no dependency on us.
- Keeping them working. A retainer for the unglamorous half: something breaks when a model version changes, a workflow needs porting, the person who owned it left. Available as an ongoing arrangement, or as an on-call agreement for teams that do not want one.
- Rolling out the next one. Five to fifteen hours a month, once your team is running on their own and wants a second pair of eyes as they add to it. Most teams end up here.
Who does the work - Engineers who can explain themselves.
The hard part of this work is not the tooling. It is working with people who have every reason to be skeptical, and explaining technical choices in a way that survives being repeated to someone else.
- Teaching experience is in our DNA. We recruit a rare breed of expert. They’ve worked on and led deeply technical work at places like Amazon, Intel, and Nike, but they’re more than engineers. They also have real depth in business — an MBA from Tepper, for example — and in instruction, teaching in bootcamps and at Penn State and Carnegie Mellon. They can explain a system for someone who needs the critical details, not a lecture on engineering.
- Built to be handed over. We would rather build something small your team fully understands than something impressive they have to call us about once a week. Simple to maintain is a design goal, not a compromise. And of course we’re still there if the tradeoffs are right for a workflow requiring ongoing support.
- No jargon, and we mean it. If you need a glossary to read our recommendations, we have written them badly. You should be able to forward the document to your CEO without translating it first.
Tell us what your team is actually trying to get done.
A short description of the work is enough to tell whether this is worth a conversation. If it is not, we will say so and refer you to someone we trust.
Run engineering instead? The engineering-team version of this page is a different conversation.