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AI Agents

From answerto action.

INVO AI Agents can analyze data, spot situations that need a response, prepare the next steps and execute approved actions in the system — inside the rules, permissions and approval flow of your organization.

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INVO — AI Agent · Purchasing

Goal

Cover tomorrow's production

The agent analyzes

  • Demand
  • Inventory
  • Deliveries in transit
  • Suppliers
  • Production plan
DetectedShort 572 kg of carbon fiber

The agent prepares

Supplier
Supplier B
Quantity
800 kg
Delivery
tomorrow 05:00
Cost
$4,500

Approval required

  • Approve the order
  • Edit
  • Reject

From information to execution

Copilot tells you what to do.An agent can prepare or execute the next step.

Operations Copilot

“Carbon fiber runs short in 36 hours.”

Can

  • explain the problem
  • show the sources
  • propose a solution

AI Agent

“Carbon fiber runs short in 36 hours.”

Can also

  • check available suppliers
  • compare price and risk
  • calculate the quantity needed
  • prepare the purchase order
  • route it for approval
  • create the PO in the system once approved

An agent combines reasoning with the ability to carry out controlled actions in the system.

Agentic workflows

Automate the processes that todaytake several systems and many steps.

Purchasing agent

  1. spot future shortages
  2. review recommended quantities
  3. compare suppliers
  4. prepare the PO
  5. route it for approval

Production agent

  1. review the plan
  2. detect overloads
  3. propose a new order sequence
  4. prepare an alternative schedule

Quality agent

  1. detect high-risk batches
  2. find the right procedure
  3. prepare the quality check
  4. open an incident or a task

Margin agent

  1. detect contracts below target
  2. identify cost drivers
  3. point to bills of materials or suppliers to optimize
  4. prepare recommended changes

Knowledge agent

  1. detect outdated procedures
  2. find knowledge gaps
  3. draft an updated instruction
  4. route it for approval

An agent in practice

One goal.Many steps carried out automatically.

GoalCover the components for tomorrow's production plan.

INVO — agent run · cover tomorrow's components

  1. 01

    Check demand

    Units26,400

  2. 02

    Convert to components

    Carbon fiber1,482 kg

  3. 03

    Check inventory

    Available · in transit610 kg · 300 kg

  4. 04

    Detect the shortage

    Net requirement672 kg

  5. 05

    Compare suppliers

    Supplier A · Supplier Bcheaper, 38% risk · pricier, 6% risk

  6. 06

    Prepare the recommendation

    Supplier B · 800 kg$4,500

  7. 07

    Human decision

    Approval

    DecisionApprove

  8. 08

    Execution

    ResultPurchase Order #48291 created

Many agents. One operation.

Agents can work togetheron a single operational goal.

GoalRun tomorrow's production without delays.

  • Demand agent

    forecasts 26,400 units

  • Purchasing agent

    detects a 572 kg carbon fiber shortage

  • Supplier agent

    picks the safest delivery option

  • Production agent

    detects an overload on Line 3

  • Staffing agent

    detects 4 missing technicians in assembly

  • Operations agent

    aggregates the recommendations

Plan ready for approval

The human still owns the decision

Automate the executionwithout giving up control.

  1. 01

    Recommend

    The agent analyzes and proposes. It takes no action.

  2. 02

    Prepare

    The agent creates a draft — a PO, a schedule, a task — and waits for approval.

  3. 03

    Execute within rules

    The agent can act on its own when the action meets conditions you set.

    Example

    • Auto-approve POs up to $1,500
    • approved suppliers only
    • non-critical categories only

The level of autonomy is configurable per process.

Guardrails

An agent works only insidethe limits you set for it.

  • Financial limit

    Maximum PO value.

  • Suppliers

    Approved suppliers only.

  • Modules

    Access to selected functions only.

  • Data

    Access follows the user's role.

  • Conditions

    Action only when defined criteria are met.

  • Approval flow

    Selected actions always require approval.

Purchasing agent

Can

  • prepare a PO
  • choose from approved suppliers
  • create an order up to $1,500

Cannot

  • add a new supplier
  • change contract terms
  • create a PO above $1,500 without approval

How it works

An agent combines goal, data,reasoning and tools.

  1. 01

    Goal

    A user or the system defines the task

    “Cover tomorrow's purchasing.”

  2. 02

    Context

    The agent gathers the data it needs

    ERP · MES · WMS · Purchasing · Data warehouse · Knowledge Intelligence

  3. 03

    Action plan

    The agent sets out the next steps

    calculate the requirement · check inventory · check suppliers · prepare the PO

  4. 04

    Tools

    The agent uses INVO functions

    Get inventory · Compare suppliers · Create draft PO

  5. 05

    Execution

    The agent acts or routes for approval

    Every action follows the rules and permissions in place.

Tools & actions

An agent doesn't only talk to the system.It can use its functions.

ERP

  • read orders
  • update records
  • create tasks

Purchasing

  • prepare POs
  • select a supplier
  • pull prices and terms

MES

  • read the production plan
  • prepare an alternative schedule

WMS

  • check inventory
  • check reservations
  • check lots

Quality

  • open an incident
  • assign a check
  • open a procedure

Knowledge

  • find a procedure
  • pull an instruction
  • check a client requirement

The LLM plans and interprets. INVO tools carry out the specific actions.

Full control

Every agent action should bevisible and auditable.

INVO — agent activity

Agent activity

  1. 13:42The agent detected a component shortage.
  2. 13:424 suppliers checked.
  3. 13:43Recommendation prepared: Supplier B.
  4. 13:44The user approved the PO.
  5. 13:44PO #48291 created.
Who started the agent
Jan Kowalski
Which data it used
Inventory · Requirement · Suppliers
Which actions it took
Create PO
How many needed approval
1

Every step leaves an audit trail.

When an agent starts

An agent can run on request, on a schedule,or when an event is detected.

  • On request

    A user asks

    “Prepare tomorrow's orders.”

  • On a schedule

    Every day at 05:00

    check the requirement and prepare recommendations.

  • On an event

    A supplier cancels a delivery

    the agent starts the alternative supplier workflow.

  • On detected risk

    Stockout probability above 80%

    the agent prepares a purchasing recommendation.

Business impact

Automate the workbetween the decision and the execution.

  • Manual work ↓

    Fewer repetitive manual steps

    The agent carries out sequences that run across modules.

  • Response time ↓

    Faster reaction to problems

    A workflow can start the moment a risk is detected.

  • Planner time ↓

    More time for the exceptions

    The agent takes over routine data preparation and setup.

  • Process consistency ↑

    The process runs the same way every time

    The agent follows a defined workflow.

  • Error rate ↓

    Less manual re-keying

    Actions are executed directly in the system.

  • Scalability ↑

    More processes without proportionally more people

    The team can handle a larger operation.

See Operations Copilot See Knowledge Intelligence

AI Agents

Don't only ask INVO what to do.Let an agent prepare the next step.

See how AI Agents can analyze data, prepare multi-step actions and execute approved operations in the system while keeping your rules, permissions and user control intact.

Book an AI Agents demoSee Intelligence overview