Internal tools that use language models to compress recurring work. We scope what the AI should and should not do, build the workflow around it, and give a team back its week.
The interface is whatever the work calls for: a form, a queue, a review screen. Not a generic chatbot.
Claude, OpenAI or a smaller open model, chosen for the task. Zero-data-retention tiers where it matters.
We capture the before, then prove the after. If a five-hour task becomes ninety minutes, that is the win.
AI workflows are internal tools that use language models to compress recurring work. Document review, intake processing, research synthesis, content drafting against a house style. We scope what work the AI should and shouldn't do, build the workflow around it, and ship it to the team that runs it. The output is hours back on the calendar.
Teams where the same five-hour task happens every week. Firms with knowledge work that follows a recognizable shape and could be drafted by a model and edited by a human. Operators who've tried generic AI tools and found them too generic.
A short, paid diagnostic that maps the work before any code is written.
Architecture and interface, decided up front rather than discovered late.
Shipped to production on infrastructure we keep running afterward.
We stay on the system so it keeps earning across years, not months.
No. The interface is whatever the work calls for. Sometimes it looks like a form. Sometimes it looks like a queue. Sometimes it looks like a document review screen. We build the interface around what the team needs to do, not around what conversational AI happens to look like right now.
Depends on the work. Claude for most reasoning and writing tasks, OpenAI for some structured outputs, smaller open-source models where cost and latency matter. We choose the model for the job, not the other way around.
We use API tiers with zero-data-retention where the engagement calls for it. We don't train models on client data. We're explicit in the build doc about what data goes where.
Against a baseline we capture before the build. If the workflow took 5 hours and now takes 90 minutes, that's the win. If it doesn't improve, we either fix it or kill it.
Bring the problem, the deadline and the ambition. We will tell you what we would build and how fast it can ship.