Target outcome · Eliminate information gaps at shift change — the cause of 70% of industrial incidents — through structured briefings that give incoming teams full situational awareness in minutes.
Business problem
Shift handovers are critical moments where operational continuity, safety, and performance either succeed or fail. Poor handovers contribute to 70% of industrial incidents, yet most organizations still rely on informal conversations, scattered notes, and tribal knowledge to transfer critical information between shifts. Handover quality varies dramatically based on individual experience, communication skills, and the time pressure of overlapping shift windows.
What it does
The Shift Handover Briefing Agent collects information from XMPro Data Streams — including production data, maintenance records, safety logs, and process historians — and when embedded in a MAGS team, also incorporates shift-specific insights shared by other agents.
Agent structure
- Real-time and contextual data integration from SCADA, CMMS, incident systems, and production platforms
- Structured briefing creation translating complex shift activity into standardized, readable summaries
- Information prioritization ensuring critical safety and operational context is prominently surfaced
- Supervisor validation workflow supporting human review and approval before briefing distribution
- Conversational handover interface via App Designer for guided question-and-answer access to briefing content
- MAGS team integration sharing shift summaries with other decision-support agents
What the team handles
Handles
Automated briefing generation from operational data streams, structured summarization of shift events, priority-ranked information presentation, and conversational access to briefing content
Does not handle
Real-time operational advisory or anomaly detection — those functions belong to AI Advisors continuously monitoring live conditions
Humans retain authority over
Final review and approval of all briefings before distribution to incoming teams, addition of contextual notes requiring judgment, and escalation decisions for safety-critical unresolved issues
Current process vs. with AI Agent
Outcomes and measurement
Handover briefing preparation time
Information completeness at shift change
Incoming team time to situational awareness
Shift change documentation for compliance
*All figures are typical ranges. Achievable range depends on existing control maturity, data quality, and site-specific conditions.
Data inputs
SCADA systems and process historians
CMMS maintenance work order and activity data
incident and safety reporting systems
Other
*Categories only — no tag names or system-specific field references. Exact data mapping is scoped per site.
Scoping questions
Expect these questions in a first scoping conversation. They signal engineering discipline and help narrow the template to your specific site context.
- How many shifts per day does your facility run, and what are the primary operational domains that must be covered in each handover — production, maintenance, safety, quality?
- Which systems contain the source data for handover briefings — SCADA, CMMS, incident reporting, production MES — and are they currently integrated with XMPro?
- What does your current handover process look like, and what are the most common gaps or failures that result in operational issues on the incoming shift?
- Are there MAGS agents already deployed whose operational actions and findings should be captured in the handover briefing?
- Do you need mobile access for shift teams in field or plant environments, and are there specific roles that require different briefing formats?
Want our AI to walk you through these scoping questions?
SPEAK WITH OUR TEAM
Get specialist advice on scoping this for your site.
Our specialists will help you understand how the Shift Handover Briefing Agent fits your operations, what data you'd need, and what a scoping engagement typically looks like.
