
Natural language.
Workforce answers.
Zero dashboards.
Shift coverage, compliance status, and labor cost variance — available on demand through conversational queries scoped by role.
Coverage gaps surface before shift start. Reactive staffing decisions are replaced by predictive queue management.
Early warning indicators surface budget exposure before overtime accumulates across departments.
Working Time Directive and food safety compliance status queryable without separate audit tool access.
Six agents.
One intelligence layer.
Each agent is scoped to a stakeholder group and a dedicated MCP server. Answers are bounded by user role, API access, and explicit write permissions. No cross-domain data leakage by design.
How a Vera query resolves
Every query follows a structured path. The AI Agent never has direct data access — the Hexavera API enforces RBAC and user scope at every step.
"Show me understaffed shifts for line 4."
get_shift_coverage_gaps — Operations MCP server
Only data the user is permitted to see is returned.
Actionable context, no dashboard required.
Staffing coverage, access control events, shift assignments, and real-time production line status.
Absence patterns, leave balances, turnover indicators, certification status, and workforce planning inputs.
Overtime spend by department, payroll exposure, and budget vs. actual variance reporting.
Cross-site labor variance, scheduling accuracy benchmarks, and board-ready workforce reports. Read-only by design.
EU Working Time Directive monitoring, food safety certification expiry, and GDPR audit trail access.
Personal schedules, leave balances, shift swap requests, and mobile attendance confirmation.
Vera in context
Natural language workforce intelligence across Operations, Finance, and HR — each agent scoped to its stakeholder group and MCP server.
Operational Relevance by Role
Six purpose-built agents deliver workforce data to every level of the organization. Each stakeholder receives answers scoped to their domain — nothing more, nothing less.
Workforce data on demand reduces time from question to operational decision across all facilities without manual reporting cycles.
Labor cost variance and overtime spend queryable by period and department without data extraction or manual aggregation.
Shift coverage gaps and production line staffing status visible through natural language. No dashboard training required.
MCP architecture provides structured, auditable AI tooling. The API enforces data governance and RBAC at the infrastructure layer.
Absenteeism patterns, turnover risk indicators, certification expiry, and seasonal readiness surface through conversational queries.
Real-time shift coverage, certification gaps, and line-level understaffing risk available without dashboard navigation or ticket escalation.
Working Time Directive status, food safety certification expiry, access group review cycles, and GDPR audit trail — all queryable in plain language.
Personal schedules, leave balances, and shift swap requests handled through self-service without HR queue wait times.
Request a Vera Demonstration
Natural language workforce queries reduce the time between operational question and data-driven decision. Live demonstration against scenarios from your operational environment.
- Live query demonstration against scenarios from your operational environment
- Role-specific walk-through for your Operations, HR, and Finance stakeholders
- ROI estimate based on your headcount and labor cost profile
Book a 30-minute session
- No commitment or pre-qualification required
- Scenario prepared for your industry vertical
- Senior workforce technology specialist assigned