PLC / SCADA integration support
Review the existing control environment and scope the required software interfaces, signals and data exchanges with your automation team.
Industrial Automation & Manufacturing
We support manufacturers and equipment teams with industrial integration, production test software and data visibility. An engagement can cover a defined machine interface, a quality-data workflow or automation support around an existing PLC/SCADA environment.
THE ENGINEERING CHALLENGE
Production information is often split between machines, spreadsheets and separate quality systems. Manual collection makes it harder to trace a failed test or investigate a recurring issue. We help define the interfaces, collect agreed data and make it usable for production and engineering teams.
TECHNICAL SCOPE
The proposal identifies which activities are included and how they will be accepted.
Review the existing control environment and scope the required software interfaces, signals and data exchanges with your automation team.
Develop test sequences and result capture for agreed product or component checks, including failure handling and traceable test records.
Connect agreed data sources, validate incoming records and organise production or quality information for downstream use.
Create views of agreed measures such as test outcomes, recurring failures and data completeness, with clear definitions for each metric.
Support integration between equipment-level software and business or engineering applications, subject to approved network and access arrangements.
Agree a validation plan, document deployment steps and support customer-led commissioning during the agreed project window.
TYPICAL DELIVERABLES
Outputs are defined in the agreed work package. These are typical assets that can be included, rather than a fixed bundle for every engagement.
How we agree quality and acceptance →ILLUSTRATIVE ENGAGEMENT
For one production cell, a pilot can capture test results from an agreed source, validate identifiers and display first-pass outcomes and recurring failures. Success is assessed against the agreed data accuracy, refresh behaviour and operator workflow, rather than an unverified productivity promise.
Example scope · not a customer case studyA specialist can join your team, a work package can deliver defined outputs, or a recurring workstream can support ongoing development and testing.
Compare engagement models →GETTING STARTED
SERVICE QUESTIONS
No. Discovery focuses on the current environment and whether an integration or reporting layer can meet the requirement. System replacement is a separate decision.
Yes. A single line, cell or data source is often a useful scope for validating interfaces and acceptance criteria before wider rollout.
DEFINE THE NEXT STEP
We will discuss the scope, delivery model and inputs needed to move it forward.