Custom AI for your operations — automate the work, visualize the data, analyze what's next
We build custom AI on the systems you already run: automations that handle repetitive work, live dashboards that show what's happening, and analysis that finds what to fix, test, or scale next. A dedicated engineer builds and runs it all — and proves the results every month.
Live today for e-commerce operations teams — more industries in development.
How it works
Three phases. One accountable team.
Assessment
A paid diagnostic — not a sales call. Over 1–2 weeks we analyze your systems and deliver a four-section report: automation exposure, skills match, gap analysis, and recommended path forward.
Learn about the Assessment →Custom Build
We build custom AI fit to your business — your rules, your thresholds, your edge cases. Automations, live dashboards, and analysis on the systems you already run. 2–6 weeks to first outcome.
See how we build →Operate
Your embedded engineer runs the platform, tunes the model, ships new outcomes, and delivers monthly outcome reports. You get verifiable results without the operational overhead of an in-house ops team.
See what your embedded engineer does →Design partner program
A limited number of spots available
We're working with select design partners — teams who get three months of Concierge engagement at no charge in exchange for a case study and testimonial. If your operations are a strong fit, mention it when you book your Assessment.
Apply via Assessment →Why now
Two questions decide whether you can let AI run your operations
Can you trust what it does? Can you afford what it costs? We built Clarissi to answer both — so AI can act on your systems, not just advise.
You see what it did — and control what it can do
Every action is recorded the moment it happens: what triggered it, what was evaluated, what ran, and the result. Nothing touches your business that you can't inspect or constrain — so "what did the AI do, and why" always has an answer.
A cost that stays flat as usage grows
AI bills have a way of multiplying quietly. Clarissi is built so doing more doesn't mean paying exponentially more — and every month's report shows what each outcome cost and what it was worth.
Industries
Built for your industry, not a generic platform
Each vertical has distinct automation opportunities. We know the operations, the edge cases, and the systems your business runs on.
Your embedded engineer
Embedded engineering — without the in-house engineering team
Running AI in production isn't shipping a model. It's modeling your operations, building custom workflows on top, tuning thresholds, handling edge cases, and monthly proof it worked. Most teams don't have an embedded engineer to own that. We do — at a fraction of an in-house hire.
Run the Assessment
Run a structured analysis of the client's environment over 1–2 weeks and deliver a four-section report covering automation exposure, what's ready to activate, custom candidates, and recommended path forward.
Build custom AI on your semantic model
Build custom AI automation against your business rules using generative AI tools (Claude, Codex). Your operations become a semantic model the AI executes deterministically against — no hallucinations, full audit trail.
Monitor and tune
Review execution logs, adjust conditions as the client's operations evolve, and activate new skills from the catalog as they ship.
Steward your AI spend
Keep token and AI costs flat as usage grows — choosing what runs deterministically vs. what needs a model, pre-computing heavy data instead of re-reading it, and reporting what each outcome cost and what it was worth.
Deliver monthly outcome reports
Measure verified results against the agreed baseline and deliver a clear breakdown of outcomes produced each month.
Manage the engagement
Handle credential setup, integration changes, and tier transitions — so clients never need to maintain an internal automation team.
A fraction of an in-house engineer — with measurable outcomes attached
Without hiring, training, or maintaining an internal AI engineering team. Outcome-aligned: your embedded engineer earns more only when your business produces verifiable results above the baseline we set at the Assessment.
Want a number? That's what the Assessment is for. We'll cost out your specific stack against the alternative.