Specialization
Each AI Employee keeps a defined job. The case changes owner when it enters another responsibility.
COLLABORATION · INTERACTIVE DEMO
Watch a task move from one AI Employee to another until the process is resolved.
Choose a case and inspect the process step by step. See who works, which system participates, when ownership changes and where human approval appears.
SEE THE TEAM WORK
One complete process, multiple coordinated specialists
Play the path or inspect every handoff manually. Authority remains explicit at every step.
InputStep 1/7
A customer finds an incorrect invoice and wants to cancel the order
The case crosses support, order systems, billing, administration and a human approval point before the conversation closes.
Input
Customer email: the invoice does not match the order and cancellation is requested.
Expected outcome
Corrected data, recorded decision and a final response with process traceability.
Input
01Customer
One request arrives with two problems
The request contains a billing issue and a cancellation request. The original message remains available as the input context.
Next handoffThe request is handed to Customer Support AI.
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WHAT YOU ARE SEEING
Collaboration does not mean sharing everything or acting without limits
Authorized context
Only the information needed for the next step should travel, within configured sources and permissions.
Policy before autonomy
Technical capability does not grant business authority. Thresholds and exceptions can stop the flow and request approval.
Traceability
Input, queries, handoffs, decisions and outcome should be recordable for follow-up and improvement.
COMPLETE SCENARIOS
The meaning of the demo also exists outside the animation
These paths are published as HTML content so they remain accessible, citable and understandable without running the interaction.
01
Wrong invoice + cancellation
A customer finds an incorrect invoice and wants to cancel the order
The case crosses support, order systems, billing, administration and a human approval point before the conversation closes.
- Input
- Customer email: the invoice does not match the order and cancellation is requested.
- Expected outcome
- Corrected data, recorded decision and a final response with process traceability.
- 1Customer
One request arrives with two problems
The request contains a billing issue and a cancellation request. The original message remains available as the input context.
Next handoff: The request is handed to Customer Support AI.
- 2Customer Support AI
Classify, identify and gather context
It detects both intents, verifies the available identity context and finds the order before answering or changing data.
Next handoff: It requests verified status from CRM and order management.
- 3CRM + orders
Return customer, order and status
Approved sources provide verifiable data. The invoice discrepancy is confirmed and the order still has a conditional cancellation path.
Next handoff: The discrepancy is handed to Accounting & Billing AI.
- 4Accounting & Billing AI
Review the invoice and prepare a correction
It compares available records, identifies the inconsistent field and prepares the change without assuming unlimited financial authority.
Next handoff: It asks Administrative AI to correct the related operational record.
- 5Administrative AI
Update the record within policy
It corrects authorized administrative data and leaves the case ready for the cancellation policy to evaluate the next step.
Next handoff: The request reaches the human control point defined for cancellation.
- 6Human supervisor
Approve the consequential exception
A person reviews the summarized context, applicable policy and financial impact before approving or rejecting cancellation.
Next handoff: An explicit decision returns to Customer Support AI.
- 7Customer Support + Reporting
Communicate and record the outcome
The customer receives a response aligned with the decision. The path is recorded for follow-up, metrics and audit.
Next handoff: Process completed with a traceable history.
02
Sales lead → meeting
A lead asks for information and appears to fit the target customer profile
Sales coordinates approved research, CRM, contact preparation, calendar and human review for any sensitive commercial condition.
- Input
- Commercial form with company, need and preferred contact method.
- Expected outcome
- Prioritized lead, recorded context and a proposed meeting without inventing terms or commitments.
- 1Lead
A commercial request arrives
The form contains information declared by the contact and an initial need. Unconfirmed facts are not assumed.
Next handoff: It moves to Sales SDR AI for initial classification.
- 2Sales SDR AI
Assess fit against defined criteria
It organizes the opportunity using approved commercial criteria, identifies missing information and avoids turning an estimate into an automatic business decision.
Next handoff: It queries CRM and approved internal sources.
- 3CRM + knowledge
Retrieve history and approved context
The system returns previous relationships, contact status and approved commercial material relevant to the need.
Next handoff: Context returns to the SDR to prepare the next contact.
- 4Sales SDR + Email Manager
Prepare a contextual contact
The digital team drafts a response grounded in approved information and proposes concrete questions to advance the opportunity.
Next handoff: It checks calendar availability before proposing a meeting.
- 5Calendar
Offer permitted availability
Only authorized slots and scheduling rules are used. A person is not booked outside configured policy.
Next handoff: Special commercial conditions are escalated to a person.
- 6Sales owner
Validate exceptions and commitments
Discounts, contractual commitments or non-standard conditions remain under human decision.
Next handoff: The decision returns to the sales flow.
- 7Sales SDR + Reporting
Propose the meeting and preserve traceability
The lead receives the appropriate next step and CRM retains source, context, status and outcome for follow-up.
Next handoff: The process is ready to continue with the human sales team.
03
Delivery incident
An order is marked delivered, but the customer says it was not received
Customer Support, Order Management and logistics systems collaborate before deciding whether investigation, replacement, compensation or human intervention is appropriate.
- Input
- Customer message reporting a missing delivery.
- Expected outcome
- Documented incident, appropriate resolution path and a customer update grounded in verifiable data.
- 1Customer
Report a missing delivery
The message is classified as a delivery incident and the original context is retained so the customer does not need to repeat information.
Next handoff: Customer Support AI starts verification.
- 2Customer Support AI
Identify the order and verify the case
It links the request to the correct order and does not claim receipt merely because a technical status says delivered.
Next handoff: It queries ecommerce, orders and logistics tracking.
- 3Ecommerce + logistics
Return fulfilment and delivery events
Approved systems provide status, carrier and available events to build a verifiable picture of the incident.
Next handoff: The structured incident moves to Order Management AI.
- 4Order Management AI
Open the appropriate operational path
Depending on policy, it can prepare a carrier investigation, review an allowed replacement or collect additional information.
Next handoff: If there is financial impact, it coordinates with Billing.
- 5Accounting & Billing AI
Prepare the permitted financial impact
It calculates or prepares the adjustment under explicit rules without approving compensation beyond its threshold.
Next handoff: Cases outside the threshold move to human approval.
- 6Human supervisor
Decide the exception outside automated policy
A person receives the gathered context and decides when replacement, compensation or claims exceed delegated authority.
Next handoff: The decision returns to Customer Support AI.
- 7Customer Support + Reporting
Close the loop with the customer
The real next step is communicated, the case is updated and data remains available to measure incident time and causes.
Next handoff: Process closed or kept in follow-up with a clear owner.
These paths are reference commercial models. Real implementation depends on each organization’s processes, data, integrations, permissions, policies and environment validation.
FAQ
Questions about the simulation
Is the demo connected to real data?
No. This public experience uses synthetic scenarios and data. Its purpose is to explain the collaborative work model without exposing customer systems, credentials or information.
Do AI Employees share all information with each other?
They should not. Each handoff should contain only the necessary context and respect the permissions, organization and policies defined for the deployment.
Can an AI Team make any decision automatically?
No. Actions depend on delegated authority, risk, rules and thresholds. Consequential decisions can remain reserved for a person.
Are all these connectors included by default?
No. CRM, ERP, ecommerce, calendar, logistics and other connectors are examples of possible systems. Each customer uses only the integrations required by the process and validated for its environment.
YOUR PROCESS
Now we can map the same journey using one of your processes.
Start with a concrete case, identify the systems involved and decide where you want to keep human control.