Clarissi is custom AI for your operations — built, run, and owned by a dedicated embedded engineer who is accountable for the outcomes.
That sentence does a lot of work, so this post unpacks it. No demo with fictional data, no buzzwords. Just what we’re trying to deliver and who it’s for.
The Gap We Close
Every connected system in your business produces signals all day long. Orders arrive. Inventory shifts. Tickets open. Invoices come due. Each of those moments is a chance to respond instantly and consistently — and most of them get handled by a person, manually, in the gap between systems that can’t see each other.
The tools to close that gap finally exist. What most teams don’t have is someone to own AI in production — to model how the business actually works, build on top of it, tune it as reality changes, and prove every month that it worked. Running AI in production isn’t shipping a model. It’s the ownership.
That’s the job we do.
What We Actually Deliver
Clarissi is three phases, one accountable team:
Assess — A paid diagnostic, not a sales call. We analyze your live systems and deliver a four-section report: where your automation exposure is, what’s ready to activate, what’s missing, and the recommended path forward. You see your own numbers before you commit to anything.
Build — We model your operations as a semantic model and build custom AI on top using generative AI tools like Claude and Codex. Your rules, your thresholds, your edge cases — not a template someone else outgrew.
Operate — Your embedded engineer runs it, tunes it, ships new outcomes, and delivers a monthly report showing what ran, what it produced, and what’s next.
You’re not buying software you have to learn and maintain. You’re buying outcomes, with someone on the hook for them.
Two Things We Won’t Compromise
As AI starts to act on real systems — not just answer questions — two concerns decide whether a business can actually use it. We built Clarissi to answer both:
You see what it did, and you control what it’s allowed to do. Every action is recorded at the moment it happens: what triggered it, what was evaluated, what ran, what the result was. When you need to know exactly what your AI did and why, the answer already exists. Nothing acts on your business that you can’t inspect or constrain.
Your cost stays flat as usage grows. AI bills have a way of multiplying quietly. Clarissi is built so that doing more doesn’t mean paying exponentially more — and your monthly report shows you what each outcome cost and what it was worth. Predictability is a feature, not an afterthought.
Trust and cost are the whole game. We treat them that way.
Who It’s For
Clarissi is for mid-market operations teams who want the results of an in-house AI engineering team without hiring, training, and maintaining one. We work across the systems you already run on — e-commerce is live today, with more industries on the way. If you run on Shopify, that’s one of the systems we connect to; it isn’t the point. The point is your operations, whatever they run on.
How to Start
Start with the Assessment. It’s a paid diagnostic that pays for itself in clarity: you get a grounded, numbered picture of where automation would actually move the needle in your business — and if you convert to a Concierge engagement, the fee is credited toward your first month.
The signals are already firing. The question is whether anyone’s accountable for what happens next.