IT/OT Convergence

Get IT and OT working as one system.

The best smart-factory software pays off when the team that runs the network and the team that runs the machines work from the same picture. We build that alignment from both sides of the line — the architecture, the security model, and the teams themselves.

The divide

Two technology worlds, built separately for good reasons.

IT was built around data: cloud, integration, security patched on a schedule. OT was built around the physical plant: PLCs, SCADA, safety, and uptime measured in years. Both sets of priorities are correct. The problem is that the two worlds now sit on the same network, and the assumptions of one break the other.

01
Security gaps widen

A twenty-year-old controller was never designed to sit near a corporate network. Left unmanaged, it becomes the easiest way into the plant.

02
Troubleshooting slows down

When a network change takes down a production line, two teams debug it with different tools and different vocabularies while the line waits.

03
Initiatives stall

Analytics and IoT programs get funded at the top and stall at the plant, because the data never reliably makes it off the floor.

What we do

We work the boundary from both sides.

Convergence is not a product you install. It is an architecture decision, a security model, and a set of working habits between two teams. We handle all three, in that order.

01
Map the boundary

We inventory the OT estate — controllers, SCADA, historians — and the network between plant and corporate. The output is a clear picture of where data crosses today, where it is blocked, and which gaps carry risk.

02
Build the secure data path

Segmented networks, an industrial DMZ, and edge collection that lands plant data in the same governed layer the rest of the business reads from — without touching production uptime.

03
Converge the teams

We embed with both sides. Controls engineers learn to read the network; IT engineers learn why safety and uptime come ahead of a patching schedule. Shared KPIs, one incident-response protocol, and joint ownership of the boundary — so the capability stays with your team when we leave.

The data path lands plant data in the operating layer described in our data foundation — one governed layer that dashboards, models, and decisions all read from.

What changes

The result, measured on the floor.

Faster recovery

Cross-trained teams find root cause on one call instead of two escalation chains. Downtime per incident drops.

Security that respects production

The path between corporate and plant networks is controlled and monitored, and patching decisions are made with the production schedule, not against it.

Data that reaches the model

Predictive maintenance, digital twins, and quality analytics stop waiting on plant data. The floor feeds the same layer every model reads from.

Start with one site.

Pick one plant. We'll map the IT/OT boundary, close the riskiest gaps, and get its data flowing into the layer your models read from.

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