The cloud layer underneath your operation
Nobody phones Easystep2 asking for Azure. They phone because reports are wrong, integrations fail or backups need to be trusted. Azure is usually part of the answer, not the reason for the call.
Why manufacturers end up using Azure
Not one of these starts as a cloud project. They start as something that stopped working.
- Systems need to exchange information
- Reports need reliable data
- A backup nobody owns is not a backup
- AI needs controlled access to data
- We want to know before production does
Start with the operational requirement, not the Azure menu
We regularly see integrations still running long after nobody remembers who created them. So we start from the job that has to get done, and pick only what that job needs.
Business Central cannot run on emails and exports forever
Orders, shipments, stock and documents move between systems every day. At some point a manual export becomes the weakest part of the process.
If nobody trusts the report, somebody starts using Excel again
One reliable flow of operational data beats four dashboards that each show a slightly different number.
Azure invoices should not surprise anybody
Subscriptions, workloads and consumption need a budget, an owner and an alert before the invoice arrives, not after.
AI exposes bad data faster than people do
Copilot and custom agents will happily answer from whatever they are given. Clean access, logging and ownership come first.
Have an Azure idea or an Azure mess?
Show us what stopped working. We will tell you what belongs in Azure, what belongs in Business Central and what should probably not exist at all.
How we work with Azure
The first Azure problem is rarely technical. It is usually ownership.
Somebody owns it from day one
Subscriptions, identities, backups, monitoring and recovery belong to named people instead of becoming "the cloud".
Every integration has an owner
If nobody owns it, nobody knows who to call when it stops working at six on a Friday.
We want to know before users call
Monitoring should tell us about a failing integration or a cloud issue before production notices something is wrong.
New ideas still need an owner
AI, reporting and new services are far easier to manage when somebody is already accountable for the budget and the result.
What we clarify before Azure grows
Most cloud environments become more expensive through neglect than through growth. Six questions worth answering while they are still cheap.
- Who pays the Azure invoice?
- Who gets called when it fails?
- Which systems are actually using it?
- Which integrations matter most?
- What must stay online?
- Which data is allowed in AI?
Microsoft cloud only. We design Azure together with Business Central online and Microsoft 365, so the environment stays coherent instead of becoming a collection of separate tools.
What is typically included
Our work covers the foundation, the integrations, the monitoring and the governance needed to keep Azure useful after the first project is live.
A cloud environment people understand
Subscriptions, access, naming and cost ownership arranged so the next person can still follow it.
Talk to us →IntegrationBusiness Central talking to the outside world
Controlled integrations with portals, carriers, suppliers, scanners and specialist systems, with retries and logging.
Talk to us →OperationsKnowing something broke before production does
Monitoring and alerting on the integrations and services the operation actually depends on.
Talk to us →Data and AIData that is actually usable for AI
Access, structure and logging prepared so a Copilot or agent use case can be trusted with real data.
Talk to us →Azure in the Microsoft stack
Nobody buys Azure for the sake of Azure. It exists to connect Business Central, Microsoft 365, reporting, integrations and AI.
Where the operation runs
Azure carries the integrations, APIs and reporting pipelines around Business Central, so the ERP stays the operational source instead of becoming an integration platform.
Explore Dynamics 365 →
Where people work
Identity, access and device security have to line up with the Azure resources behind them, or people end up with rights nobody intended to give.
Explore Microsoft 365 →
Where AI plugs in
When standard Copilot is not enough, Azure supplies the controlled data access, agents and monitoring an AI use case needs before it touches real data.
Explore AI →Typical use cases
When nobody knows where a report gets its data, people stop trusting it. Every one of these arrived as an operational problem, not as a request for a cloud service.
Production data must reach a customer portal
A customer wants order status, batch data or documents without somebody mailing a spreadsheet twice a day.
The warehouse scanner stops updating stock
When the link between the floor and Business Central drops, stock drifts and nobody notices until a count.
Nobody agrees which report is correct
Production, finance and management turn up with different numbers, and the meeting becomes a discussion about the data instead of the problem.
Supplier data arrives in five different formats
Files, mails, portals and EDI messages need to land in Business Central as one predictable flow.
Quality needs historical batch information
Certificates, checks and lot history have to stay retrievable years later, not only while the order is open.
Copilot needs access to approved documents only
AI can be useful and still be limited to what a user is genuinely allowed to see.
Tell us where it goes wrong
The failing integration, the report nobody believes, the backup nobody has tested. Start there and we will work backwards to what Azure actually needs to do.