Operational automation & demand management
Agents that classify, route and answer demands; faster processes, lower cost.
Operational automation & demand management is an Aginies solution package for the Enterprise Functions sector in the “operational automation” area. What the agents do: Each incoming demand is classified regardless of channel: topic, urgency and owning team determined; dynamic routing sends the demand to the right queue or agent; missing information is requested from the requester. Expected outcomes: shorter resolution times, backlog cleared; lower operating cost per demand; teams freed from repetitive work to focus on exceptions. The package uses the Dynamic agent routing, Intent detection, Email service integrations, Ticketing tools (MCP) capabilities of the Aginies platform and can be watched live through the Line stoppage response: from alarm to work order and shift report, Control tower: delay prediction, rerouting, customer notice, SLA, IT helpdesk L1, Maintenance ticket triage scenarios in the agent library.
Demands arrive scattered across email, portal and phone; each is read and assigned by hand. Misrouting and rework inflate cycle time and cost.
- 01Each incoming demand is classified regardless of channel: topic, urgency and owning team determined.
- 02Dynamic routing sends the demand to the right queue or agent; missing information is requested from the requester.
- 03Standard demands (passwords, status queries, forms) resolved instantly with corporate knowledge and tools.
- 04SLA risk and recurring demand patterns surface on dashboards; critical decisions stay with people.
- Classification, prioritisation and assignment of requests and tickets
- End-to-end handling of standard requests (access, password, form, information)
- Approval chains and SLA tracking; delay alerts
- First-level support with knowledge base and automation tools
- API access to the ITSM / ticketing system
- Service catalogue, SLA and approval rules
- Authorised access to identity management and automation tools
Derived from the linked scenarios: the supervisors, specialist agents, models and systems that run this package.
Summed from the simulation definitions of the linked scenarios; recalculated for your scale in the discovery session.
- Shorter resolution times, backlog cleared
- Lower operating cost per demand
- Teams freed from repetitive work to focus on exceptions
| Requests closed automatically | 45–60% |
| Mean time to resolve | 50% shorter |
| SLA breaches | 60% fewer |
Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.
Scenario-level approval rules plus the package’s general controls.
- Line stoppage response: from alarm to work order and shift reportSchedule change > 2 hours or urgent purchase above 50,000 → shift lead approval
- Control tower: delay prediction, rerouting, customer notice, SLARoute cost increase > 15% or compensation > 10,000 → operations manager approval
- IT helpdesk L1Access to a finance or production group → group owner approval
- Maintenance ticket triagePlanned stop > 4 hours → shift supervisor approval
- packagePrivilege elevation and production access always approved
- packageEvery automatic action recorded on the ticket with who/what/when
- 1 · Process map · 2 weeksSignal sources, decision points and work-order systems mapped; the automatic-decision boundary and approval chain defined.
- 2 · Pilot · 4 weeksOne line, one region or one process; the agent prepares the recommendation, a person applies it; deviation and gain measured.
- 3 · Autonomous operationDecisions below the threshold run automatically, above it go to approval; shift reports and SLA dashboards live.
This package’s scenarios in the agent library
Line stoppage response: from alarm to work order and shift report
An MES alarm lands; root cause found from history, spare part checked, work order and plan update ready within minutes.
Control tower: delay prediction, rerouting, customer notice, SLA
The telematics signal catches the delay early; alternative route and carrier chosen, customer informed, SLA compensation computed.
IT helpdesk L1
Password resets and access requests solved in chat; access to finance groups asks the owner via a Teams card.
Maintenance ticket triage
Sensor alarm and technician voice note become one work order, spare parts and a safe stop window included.
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis