Learn more about Production to help your manufacturing team replace paper-based checks with digital workflows, track performance across lines and shifts, and surface AI-driven insights to keep quality and compliance on track.
What is Production?
Production is SafetyCulture's manufacturing solution. It lets your team run structured quality checks directly in SafetyCulture, on the line, in real time. Operators complete scheduled and event-based checks, while site managers and admins get instant visibility into what's happening across every product, line, and area.
Moreover, AI-powered reporting analyzes your check data to surface trends and flag anomalies, and out-of-spec or critical results can raise issues automatically, so your team can act on problems before they become costly.
Products, lines, and areas
Production is structured around the way your facility actually operates. Admins configure products (what you're making), lines (where you're making it), and areas (the zones or stations on a line). Each product carries specifications that define what good looks like, so every check has meaningful context and data is always tied to the right place in your operation.
Checks, alerts, and deviations
Operators complete checks at set intervals, for example, every hour, or when an event occurs, such as the start of a run or a batch change, with no paper required. A recorded value is read as conforming, non-conforming, or critical, and out-of-spec or critical results can raise alerts tied to issues. From there, investigations and follow-up actions keep deviations handled, and critical alerts come standard so urgent breaches are never missed.
History and AI reporting
Every completed check is stored in history, giving managers a full audit trail across shifts, lines, and time periods. The AI reporting layer goes further, analyzing patterns across your check data to detect anomalies, surface trends across runs, and generate plain-language summaries of line and shift performance.
Who uses Production
Operators complete scheduled and event-based checks in their area. Site managers monitor completion, review history, and act on alerts and AI insights across their site. Admins configure products, lines, areas, and checks, and manage alert thresholds. What each person can see and do is governed by their Production permissions.
Moreover, AI-powered reporting analyzes your check data to surface trends and flag anomalies, and out-of-spec or critical results can raise issues automatically, so your team can act on problems before they become costly.
Lo que necesitarás
What are production and batch checks?
In Production, operators complete checks organized into check groups within each area. Every check group is triggered in one of two ways: manually at a specific moment, or automatically at a set time interval. Both only become active once a production run is underway in that area, so your team captures event-based checks when something happens on the line, and timed checks on a steady cadence, keeping quality data complete and consistent.
The two types of checks
Batch checks are triggered by the operator at a moment such as the start of a run or a batch change, for example, "I'm starting a new batch, so I'll complete the setup check now." They suit event-based steps that don't follow a fixed clock. Production checks are scheduled automatically and prompt the operator at a set frequency, such as every 15, 30, or 60 minutes, with each interval populating a new row of results to build a trend across the run. The interval is set when you configure the check group and can be changed later.
Completing checks during a run
The area screen is optimized for fast entry. Operators enter values with a keypad or a mouse, on an iPad or a PC, so a check takes seconds, and the screen shows whether each result is within spec, non-conforming, or critical. Timed checks show their status at a glance, due now, due soon, or overdue, and an overdue check grows increasingly red until it's recorded as a missed check. Each area also shows a pass rate and the number of issues created, so anyone can see how a run is tracking. For deeper review, completed runs and their reports live in history.
What are specifications?
A specification defines what good looks like for a check on a given product. For each measurable attribute, such as fill weight, a dimension, a percentage value, or a packaging code, a specification sets the acceptable values and the limits beyond which a result is out of spec or critical. Specifications are matched to the check items in your areas, so the right limits load automatically when a product run starts. This means the same check can run different products with different tolerances without any reconfiguration.
How specifications work
Each specification is either a number range, with a minimum and maximum acceptable value, or a multiple choice list of acceptable options. On top of the acceptable range, you can set an out-of-spec limit and a critical limit. When an operator records a value, Production reads it against the specification and returns one of three outcomes: conforming (within the acceptable range), non-conforming (outside the out-of-spec limit), or critical (breaching the critical limit, the most serious outcome, reserved for results that must be rejected or escalated immediately).
From deviation to issue
A non-conforming or critical result can automatically raise an issue and fire an alert, so deviations are tracked through to resolution rather than slipping by, and you control which alert is raised for each outcome.
Please note that a check item only validates against a specification once you've created the check item in an area and linked the specification to it on the product. If a specification isn't set, the check still captures the value but won't flag a deviation.
