Real builds, honestly labeled.
We're early, and we won't dress prototypes up as client wins. What's below is real work you can see running live on a call — and the first five audit case studies, with real client numbers, will be published on this page as they complete.
Built to prove the pattern works
Invoice Intake & Approval Routing
The pattern behind most finance-team pain: invoices arrive as PDFs and photos, and someone types them into the accounting software by hand, then chases approvals over email.
The problem
Manual invoice entry is slow, error-prone (typos in amounts and IBANs are expensive), and approvals stall in inboxes with no visibility into what's waiting on whom.
The build
Document AI reads each incoming invoice — vendor, amount, IBAN, date — and a workflow routes it through a multi-tier approval flow based on amount thresholds, with reminders and a full audit trail, before anything gets posted.
What it does now
A working end-to-end pipeline: invoice in, structured data out, approvals routed automatically, exceptions flagged for a human instead of silently failing. We demo it live on real sample documents.
As a client sprint
This is single-process sprint territory: two to three weeks from kickoff to live, fixed price agreed after the audit, target number in writing.
AP & Input-Cost Tracker
Built around a real agribusiness scenario: accounts payable across many vendors, with seasonal price swings nobody notices until margins are already gone.
The problem
Three documents per purchase — order, delivery note, invoice — matched by hand, and input-cost creep that only shows up in the year-end numbers, when it's too late to renegotiate.
The build
Three-way matching between order, delivery and invoice, seasonal anomaly detection on input costs, and multi-tier approval routing — built and tested end-to-end on realistic data.
What it does now
Mismatches and unusual price movements get flagged the week they happen, not at year end. Approvals follow the same rules every time. Demoed live on request.
As a client sprint
As a client build this is multi-process scope: fixed price from the audit, two to three weeks, one measurable outcome agreed in writing.
RFQ Email Intake → CRM
The classic sales-ops leak: quote requests arrive by email, and turning each one into a CRM record depends on somebody having a free half hour.
The problem
Inbound requests-for-quote sit unread in a shared inbox. Details get re-typed into the CRM late, partially, or not at all — and follow-up slips because the pipeline never saw the deal.
The build
Incoming RFQ emails are read automatically: sender, requested items and quantities are extracted, a deal is created in the CRM with details pre-filled, and the sales rep gets notified immediately.
What it does now
Every RFQ becomes a CRM deal within minutes of arriving, with a human notified and nothing lost in the inbox. Working prototype, shown live.
As a client sprint
Typical single-process sprint: two to three weeks, fixed price set after the audit, hours-saved target agreed before we start.
Our own Company AI OS
The strongest proof we have: Mevera Labs runs on the thing it sells. Not a demo environment — the actual operating layer this business is managed with, every day.
The problem
A solo founder with 10–15 hours a week around a day job can't afford to lose time to admin, context re-explaining, or starting every task from zero.
The build
An operating layer above the whole business: context files that hold how the business works, skills for repeatable jobs like proposals and audits, and a memory that compounds week over week.
What it does now
Proposals, prep sheets, competitive research and client documents get produced in a fraction of the manual time — with the business context already loaded. It's how this site and everything behind it gets built.
As a client sprint
Ask on any call and we'll walk you through it live. It's the honest answer to "why should we trust you without case studies" — judge the build, not the brochure.
Why no client numbers? Because we don't have verified ones yet, and publishing invented "hours saved" figures would tell you more about our marketing than our work. The guarantee carries the risk instead — and the first five published audits will change this page.
Want to be one of the first five published case studies?
The first five audits are free, in exchange for the right to publish the findings. You get the full audit; we get the case study. Straight trade.
Book a free discovery call