AI agent for operations
An AI agent for operations:bottlenecks spotted early.
The AI agent for operations watches internal request queues, stock alerts and open tickets, notices what is stalling and prepares the right task for the right person. Teams make the decisions, and the agent helps make sure handovers between departments do not get lost along the way.
Operational problems usually arise between people, not within tasks
Every team does its job, but a request stays unassigned, stock drops below the threshold without purchasing finding out, and a ticket waits for an answer from another department. Nobody has time to keep track of everything that is standing still.
- Internal requests arrive by email, chat, forms and phone, with no single queue
- Stock alerts exist in the ERP, but they do not automatically turn into actions for a specific person
- Tickets waiting on another department get stuck without anyone noticing in time
- Coordinators spend a lot of time asking for status updates instead of clearing bottlenecks
Who it is for
- Operations managers who coordinate several teams (warehouse, purchasing, service, administration)
- Distribution or manufacturing companies with stock that has to be tracked against thresholds
- Internal IT, facilities or HR teams that receive requests through several channels
- Growing companies where handovers between departments still happen by email and phone
What the AI agent for operations does
- 01
Monitors queues and thresholds
Regularly checks open tickets, unassigned requests and stock levels against the agreed thresholds.
- 02
Classifies internal requests
Reads the request, assigns it a category and urgency and suggests the responsible team.
- 03
Prepares complete tasks
Creates the draft task with context, a proposed deadline and the relevant documents, ready for approval.
- 04
Coordinates handovers
When a task passes from one team to another, sends the summary and checks whether it has been picked up.
- 05
Flags bottlenecks
Sends the coordinator a short list of what is overdue and why, not a long report.
- 06
Suggests restocking orders
For stock below the threshold, prepares a proposed order, which the person in purchasing approves.
How it works
How an operational signal reaches the person responsible
The steps marked in yellow are approved by a person.
- Input
- AI
- Action
- Human in the loop
- Result
- 01
Input
Operational signal
A new ticket, an internal request or stock falling below the threshold.
- 02
AI
Assesses the context
The agent determines the category, the urgency and the team that should take it on.
- 03
Action
Prepares the task
Creates the draft in the task system, with context and a proposed deadline.
- 04
Human in the loop
The owner approves
The coordinator confirms, changes or reassigns the proposed task.
- 05
Action
Tracks the handover
The agent checks that the task was picked up and sends a reminder if it stalls.
- 06
Result
Visible status
Teams can see who has what, and bottlenecks show up early.
What information and systems the operations agent uses
- The ticketing or task system, with read access and the ability to create drafts
- Stock levels and minimum thresholds from the ERP or inventory system
- The responsibility matrix: who handles which category of request
- Internal escalation procedures and the deadlines agreed between teams
- Internal communication channels for notifications (email, Teams, Slack)
Possible integrations
- Jira or Jira Service Management
- Asana, ClickUp or Trello
- Microsoft Teams
- Slack
- ERP (SAP Business One, Odoo, WinMentor, Saga)
- Microsoft 365 / Outlook
- Google Workspace
- Internal forms and SharePoint
- Jira or Jira Service Management
- Asana, ClickUp or Trello
- Microsoft Teams
- Slack
- ERP (SAP Business One, Odoo, WinMentor, Saga)
- Microsoft 365 / Outlook
- Google Workspace
- Internal forms and SharePoint
Each integration's compatibility is checked during the analysis phase, for the systems and versions you use.
Control and transparency
What a person validates
- The final assignment of important tasks and changes to priorities between teams
- Any restocking order or expense, which remains only a proposal until approved
- Escalation to management or to external suppliers
- Changes to stock thresholds and routing rules
Limits and how we manage them
- The agent works with what is recorded in the systems, so it works best when requests go through a shared channel
- Assignment suggestions are only as clear as the responsibility matrix, which we define together at the start
- Stock data is only as current as its synchronisation in the ERP
- It does not negotiate with suppliers and does not place orders without approval
- It does not replace coordination between managers; it only makes it more visible
How we measure the effect on operations
We agree the indicators together before launch and track them afterwards. The values depend on the process, the data and the volume.
- Classification accuracy
- Coordinators mark on a weekly sample whether the proposed category and team were the correct ones
- Time to pick-up
- Using the ticketing system, we compare the interval between a request appearing and being assigned, before and after the pilot
- Proposal acceptance rate
- We track how many draft tasks are approved unchanged, modified or rejected
- Bottlenecks flagged on time
- We check whether delayed tasks were flagged before the deadline, not after
How we implement the operations agent
- 01
Mapping operational flows
Together we identify where requests come from, who is responsible for what and where most bottlenecks occur.
- 02
Rules and thresholds
We define the categories, stock thresholds, deadlines and the points where the agent only makes suggestions.
- 03
Pilot on one flow
We start with a single flow, for example IT requests or restocking, in “suggestions only” mode.
- 04
Controlled expansion
Once the suggestions have been verified, we add other flows and adjust the permissions.
Use cases
The examples below are conceptual scenarios, not delivered implementations.
- Distribution
Fast-moving products below the stock threshold
The agent notices the low stock, checks orders in progress and prepares a proposed order for purchasing, with the sales history attached.
Conceptual example - Manufacturing
A maintenance request from the line
An operator reports a problem through a form, the agent creates the ticket for the maintenance team and notifies the shift supervisor if it is not picked up in time.
Conceptual example - Multi-site services
Centralised administrative requests
Requests for equipment, access or repairs from several locations end up in a single queue, classified and sent to the right team.
Conceptual example
Frequently asked questions
Can the agent assign tasks on its own?
It can, if we decide so for simple, low-risk categories. For the rest, it prepares the proposal and waits for the coordinator's confirmation.
What happens when the agent does not know who a request belongs to?
It puts it in a manual triage queue and flags it to the coordinator, instead of sending it somewhere at random. These cases help us complete the rules.
What access does the agent get to our systems?
Only the minimum access needed, usually read access plus the ability to create drafts. Every action is recorded in a log, and permissions can be withdrawn at any time.
Do we need to change our ticketing system?
Usually not. The agent works on top of your existing tools, through their APIs. During the analysis we check what each system allows.
Is it suitable if our processes are poorly documented?
Yes, but the first step will be clarifying responsibilities. Without them, the agent has no rules to route by.
How is it different from the workflow agent?
The operations agent watches what happens between teams: queues, stock thresholds, stalled tickets and handovers. The workflow agent runs a specific process end to end, with decisions along the way, for example client onboarding. They often complement each other.
Can’t find the answer? Write to us and we’ll reply directly.
Want to see early what is getting stuck between teams?
Describe the operational flow that gives you the most headaches. We will tell you whether an agent makes sense there and what a pilot would look like.
Related solutions
- AI agent for workflowsRuns multi-step processes that need decisions along the way, where fixed automation stops at the first exception, with human approval at the sensitive points.
- Operational monitoringVisual tracking of process stages and of vehicle and pallet movement in yards and warehouses, so you can see where the flow gets stuck.
- Multi-agent systemsSeveral specialised agents, each with its own role, tools and permissions, coordinated in a single process and supervised by a person. Only where a single agent is no longer enough.