POI CLOUD SYNC
Our own no-code integration platform for SMEs: CRM, ERP, e-commerce and accounting tools connected with drag and drop, real-time flows and encrypted transfer.
www.poicloudsync.com
Read the case study →AI Automation · Estonia
AI Automation Agency in Estonia
POI369 is an AI automation agency in Tallinn, Estonia. We connect the tools a company already runs, remove the copy-paste between them, and add AI steps only where a rule cannot do the job: reading documents, classifying requests, drafting replies, summarising. Every flow has logging, a fallback and a human review point where mistakes would cost money. We also build the integration products ourselves, including POI Cloud Sync.
Last reviewed September 22, 2026 · Reviewed by Ahmet Bulut
Automation first, AI where it earns its place
Most of the time a team loses is not spent on hard problems. It goes into moving the same data between a CRM, an accounting tool, a shop and a spreadsheet, and into writing the same update three times. Plain integration fixes most of that, without a model anywhere in the chain.
AI enters when the input is unstructured: an email that has to become a ticket, an invoice PDF that has to become a ledger row, a support request that has to go to the right person with a draft answer. There a model reads, classifies or drafts, and the flow checks its confidence before anything reaches a customer or a bank.
We design the whole flow the way we design software: inputs, outputs, error paths, cost per run, who gets alerted when something fails. An automation nobody can debug six months later is a liability.
What we automate
Tool integrations
CRM, ERP, e-commerce, accounting, email and messaging connected with real-time or scheduled sync, so data is typed once.
Document workflows
Invoices, forms, contracts and applications read, classified and routed, with extracted fields checked against rules before they are saved.
Request and ticket triage
Incoming email, forms and chat sorted by intent and urgency, assigned to the right person, with a suggested reply the person approves.
Content and catalog engines
Structured generation for listings, product data and multilingual pages, with templates, quality checks and editorial approval.
Reporting automation
Weekly and monthly reports assembled from source systems automatically, with a short written summary a manager can read in two minutes.
Internal tools
When no off-the-shelf tool fits: a small internal app with roles and an audit log, built on the same stack as our products.
Problems we solve
The same data in three systems
Orders, customers or invoices entered by hand in more than one place. One integration layer, one source of truth, fewer errors.
A shared inbox nobody owns
Requests wait because sorting them is nobody’s job. Automatic triage and routing with a draft reply shortens the first response.
Zapier chains that break quietly
Dozens of small automations with no logging and no owner. We rebuild the critical ones with monitoring and error alerts, and retire the rest.
Reports that take a day
Someone exports, merges and formats every week. The report builds itself and the day goes back to analysis.
Every integration waits for a developer
A no-code integration layer, the approach behind POI Cloud Sync, lets the team build and manage data flows from one panel.
Operations spread across five tools
Tasks in one tool, leave in a spreadsheet, shifts in a chat thread. One data model for all of it, the way we built POITIM.
Where we have built this
poitim.com
Tasks, shifts, leave, performance and content calendar on one data model, with an AI assistant. The operational data a company usually scatters across five tools.
poitim.com
Read the case study →karasuemlak.net
Real estate platform on a 36-table data model with an AI-assisted content engine that enriches listings and the regional guide.
karasuemlak.net
Read the case study →How a project runs
Process map
We sit with the people who do the work and map one process end to end: steps, tools, hand-offs, volume and where errors happen.
Pick the first flow
The one with the most hours or the most costly mistakes. Rule-based where possible, AI only for the unstructured steps.
Build with guardrails
Logging, retries, confidence thresholds, human review and an alert when something fails. Tested on real historical data before going live.
Run in parallel, then switch
The automation runs next to the manual process for a short period. When the outputs match, the manual step is retired.
Measure and extend
Hours saved, error rate and cost per run, reported monthly. The next flow is chosen on those numbers.
Why POI369
We ship integration software
POI Cloud Sync is an integration product we designed and built. Client automations use the same patterns: typed data, retries, encrypted transfer.
Engineers and marketers in one team
Sales, marketing and operations automations are built by people who understand what the data is for, not only how to move it.
GDPR-aligned by default
Data minimisation, EU hosting where required, and self-hosted model options when documents must not leave your infrastructure.
You own what we build
Documentation, access and handover included. No black-box platform fee to keep your own processes running.
Rules first, models second
If a rule or a spreadsheet does the job, we use it. AI steps go only where the input is unstructured and a person would otherwise read it.
Results in numbers
Hours saved, error rate and cost per run are reported monthly, so the next flow is chosen on data.
Questions we get asked
Do you use n8n, Make or Zapier, or write custom code?
Both. Low-code tools are fine for simple, low-volume flows your team wants to edit. Critical or high-volume flows get custom code with proper logging and tests. We choose per flow and write the reason down.
Will AI make mistakes in our process?
Sometimes, which is why every AI step has a confidence threshold and a review point where an error would cost money. Low-confidence cases go to a person. We measure the error rate and report it.
Where does our data go?
Only to the services the flow needs, agreed in writing. For sensitive documents we can run models inside your own infrastructure or with EU-hosted providers.
How long does the first automation take?
A single, well-defined flow usually goes from process map to parallel run in a few weeks. The exact timeline depends on how many systems it touches and whether they have usable APIs.
Related expertise and reading
Related expertise
Related insights
AI Marketing in Estonia: A Practical Starting Point for Small and Mid-Sized CompaniesEstonia is a small, multilingual, export-oriented market with unusually digital administration. That combination makes it a good place to build AI-assisted marketing systems, and a bad place to copy playbooks written for large domestic markets. Here is where to start, what to automate first, and what to leave alone.How We Structure Next.js Websites for Search and AI CrawlersThe concrete decisions behind poi369.com and the products we build: what goes in server-rendered HTML, how a page serves Markdown to agents on request, why sitemap dates are derived from content signatures, how six languages stay self-canonical, and how structured data forms one graph. Everything here is running in production.
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Show us one process that eats your week
Which tools, how many people, how often. We come back with a flow map and what we would automate first.