Your CRM, ERP, store, and books aren’t four systems that sync overnight — they’re one. That’s the only reason an AI can propose a change and ship it everywhere at once, tracked and reversible.
01Trust it
Your CRM, ERP, store, and books are one data model, not four that sync overnight. A price, a stock count, a customer’s address: there’s one of each, and every team reads it live.
One audit record, committed
oozmi AI lowered the order price — €12.90 €10.90
02Steer it
It watches the same numbers your team does, catches the drop, and drafts the fix: a plan you read at a glance before a single record moves.
03Wield it
Dashboards, fields, rules, whole workflows — described in plain language and built on your live data, no developer in the loop. The discount that used to need a three-day dev ticket now takes the coordinator five minutes.
Show me every order that hasn't closed in seven days, grouped by region.
Here are your open orders by region — 110 still open, and Kragujevac is your biggest cluster. A few things stand out as worth acting on:
Saved — “Stale orders by region” now refreshes on your live data.
Ten modules that share everything they know. Turn on what you need — make a change in any of them and the others already have it, with nothing to export, sync, or reconcile.
The campaign your marketing team ships in 5 minutes used to take a developer 1–5 days. Same record as the order, the invoice, the customer's history.
Front Office →Your team configures the approval rule; the audit log writes itself. The journal entry is the same row as the purchase order, the contract, the consent. GDPR in the box.
Finance & Compliance →Inventory the warehouse counts is the same row the storefront reserves against. The headcount your CFO sees is the same row HR writes to.
Operations →Lighthouse score on laguna.rs — a live production store you can check in your own browser.
in-house developers needed to run it, down from two or three.
to change a price or a discount — no release cycle, no waiting on IT.
less ad spend, for the same sales, on cleaner data.
And they’re not alone. games4you grew online sales 25% on lower spend; amfibija.rs avoided ~€100k of custom development over five years; Edukativne igre runs two brands on one product record.
No. Your business teams ship campaigns, discounts, dashboards, and customer segments themselves. At Laguna, that replaced what used to be a dev ticket queue — minutes instead of two or three days.
Far more than data. From a plain-language request, the AI builds dashboards, adds new fields and rules, and automates entire processes — the kind of work that used to need a developer. It can update your live data too, but never on its own: it shows you exactly what it will do, you approve, and you can undo it in one click.
We open the admin, run a real AI proposal against a sandbox of your data, and let you approve or undo it. If it holds up under your questions, we talk pilot.
EU-hosted, and your data is kept separate from every other customer’s — never pooled. The specifics (region, residency, backups) we scope to your setup during the pilot.
We start with a pilot on one workflow, usually the one that hurts most. It runs against a sandbox of your real data first, so nothing in production moves until you’ve seen it hold up. From there you expand at your own pace.
Yes. The point of one schema is that you move one process at a time instead of ripping everything out on day one — the rest of your stack keeps running while you migrate the parts that are ready.
Your business teams. Once the pilot proves out, the people who run operations, marketing, and finance make their own changes directly — there’s no standing dependency on us or on a dev team to keep things moving.
Bring one order that touches four systems, one workflow your team hates, or a day of your Viber orders. In twenty-five minutes we’ll open the admin, run it against a sandbox of your data, and let you approve or undo it. If it holds up to your toughest questions, we talk pilot.
