We turn what your people know into AI employees: trained on your process, running inside the tools you already use, and owned by you. We don't build it and leave. Your team builds with us, so you can run it, change it, and grow it yourselves.
Every one is built the same way: trained on how your team already works, running inside the tools you already use, owned by someone on your side, with the judgment calls still routed to a person. Start in one department, then add the next. Architecture is what makes the next one faster.
AI architecture
Someone on your team is further ahead than you think. They have a set of Claude skills that cut a two-day process down to twenty minutes. It works. But it lives on their machine, and nobody else in the company can use it.
That is not an AI problem. It is an architecture problem.
One hour a day saved. Five hours a week if it stays on one laptop, two hundred if it reaches the department. Same build, same cost.
Your processes, your customers, your decisions, captured once in a form every AI employee can read. That shared brain is what makes the rest of it work. Without one, every new tool starts by being told what your business is.
The first project builds two things: the AI employee you asked for, and the foundation it runs on. How context gets captured, how work gets reviewed, how it ships. Most of the engineering goes into that foundation, and it only gets built once. Everything after starts from it instead of a blank page.
Not every file belongs in a shared brain, and not every AI employee is improved by every file. We decide together what goes in, then scope it, so nothing reaches a person or a team that should not see it, and no AI employee is fed context that only makes its answers worse.
Your team holds the keys to the brain. A person there can change it, add to it, and fix it without calling us first.
You get the plan, the architecture it runs on, and our team building it with you. We answer for whether it works.
Most of this is already happening somewhere in your company. Nobody has the full picture. The audit asks the people doing the work, puts a number on what the gaps are costing, and maps the path to connecting it.
Get your free AI auditOne marketing lead was spending half her week writing posts, drafting emails, and repurposing content across channels, and still felt behind every Friday. Her tool stack quietly cost more than her salary.
We built a custom content and outreach engine with her, trained on her brand voice and connected to her CRM. It drafts on-brand posts, emails, and landing pages in minutes. Reps approve outreach in one click. Her team ships 3x the content, and she runs the engine herself.
Manual reporting, disconnected data, and spreadsheets stitched together by hand. That was the reality for multiple clients before we stepped in. An analyst spent days every week just keeping the numbers current.
We integrated AI directly into their workflows. Automated pipelines pull from every source. AI generates reports, flags anomalies, and surfaces insights the team was missing. What used to take days is now a dashboard leadership checks every morning.
Every AI employee is built on the same architecture, with the context that work needs, so anyone who should be using it can.
The audit is where this starts. We sit with the people doing the job and map what repeats every week. Not every task should become an AI employee, so we look for the work that is frequent, rule-heavy, and eating hours that belong somewhere better.
The person who does the job best knows things nobody ever wrote down: the steps, the exceptions, the judgment calls. We capture that. It is what the AI employee runs on, and it becomes part of the brain everything after it is built from.
We design and ship it connected to your systems and running in the tools your team already uses. Your people work the build alongside us, wherever they sit, and they see the decisions get made, which is why they can change it themselves later.
It runs in your accounts, on context your own team captured, built by people who were in it from the first call. Nothing to renew, nobody to ask before changing it. Your team can extend it, rebuild it, or start the next one without us.
We built Rapid Replay from idea to product to NBC/Comcast acquisition in under two years. That same product discipline drives every AI enablement project we take on: build the right thing, ship fast, create real value.
Anyone can bolt a chatbot onto your app. We start with your business problem, cost, growth, or efficiency, build the AI employee that moves it, and make sure your team is in control of it.
AI employees live in weeks. Content engines in a sprint. Reporting automation that pays for itself in a quarter. We move fast because we've done this, building products and shipping at startup speed with enterprise quality.
Full IP ownership from day one. No licensing traps, no per-seat games. Your code, your data, your AI employees. We build it with you, and you keep it.
Name the work that repeats every week and we'll help you build it.