Automated reporting
Automated shift reports, generated from your plant's data
A shift report or production summary is a good reader of a plant's state, when somebody actually writes it. Most do not get written, or they get written at 5:58pm by someone who just wants to go home. Digel runs a report agent as a workflow and publishes the report for the whole team to read. No blank page, no end-of-shift write-up, one record per window.
Why shift reports and production summaries rarely land on time
A good handover report covers what the shift ran, what went wrong, what got fixed, and what the next shift needs to watch. Writing one means paging through four systems, remembering the three alarms that mattered, checking the open maintenance items, and summarizing the operator notes. It is a high-context job at the end of a long shift, and it is usually the first thing that gets cut.
The consequence is not that management loses a document. The consequence is that the next shift walks in without the context the last shift had. The plant keeps running on memory instead of on a written record, which is exactly the kind of single-person dependency that breaks when that person is off.
What the agent does when you ask for a report
The report agent pulls the telemetry window you asked about, reads the alarms and the issues that opened during it, checks the maintenance activity, gathers the operator notes, and compares against prior reports on the same assets. It writes a markdown report with action points attached: structured findings the team can open as maintenance issues with one click.
The report publishes automatically when the workflow finishes. Everyone on shift sees the same document. There is no queue of drafts waiting for approval, no one person bottlenecking the handover. The record is what the agent observed, visible to the plant the moment it is written.
What automated reporting looks like in production
Six things that ship today, in use at our pilot customers:
On-demand reports
Ask the agent in chat or open the reports UI and pick a window. The workflow runs, the report writes itself, and it publishes as soon as the agent is done.
Structured action points
The agent attaches action points to the report: a finding, the supporting data, and a proposed next step. Each one can be opened as a maintenance issue without re-typing context.
Reads past reports
Reports are embedded and searchable. When the agent writes a new one it can compare against the last. Questions like 'how does this quarter compare to last' stop needing a spreadsheet.
Published for the team
When the agent finishes, the report is published for everyone on shift. One source of truth per window, visible to the next reader the moment it is written.
Linked to the assets it covers
A report is a node in the graph. You can see every report that touched Pump 4, and from a report you can jump to the assets it references.
Attachments and inbox flow
Photos, sensor traces, and external documents can be attached to assets. Published reports flow into the inbox surface so the next shift sees them in context.
Reports are where the rest of the product meets the next shift
Action points become work orders on the AI maintenance surface. Investigations draw on past reports during root cause analysis. Shift notes feed operator onboarding so knowledge carries across shifts. For the overarching picture, see AI for manufacturing.