XunCrew serves companies that already run customer service, tickets and orders in software. The work is in the system; handling still depends on someone being on duty. An AI team assigns and completes that work against stated goals, so operations run in a loop and labor cost falls.
No fees before results are verified. A formal agreement follows business validation.
Used on existing customer-service, ticket and order systems. No replacement, no data migration.
New inquiries and tickets are assigned and handled by the AI team. No one has to start each case.
Assignment, follow-up and transferring information across systems move to AI. Staff handle exceptions and important confirmations.
Each action can be traced by who handled it, when, and on what basis.
XunCrew is not a new business system, and not a Q&A assistant. It places an AI team on the customer-service, ticket and order systems you already run.
For automation of simple, repetitive roles across the enterprise.
This is how XunCrew turns a self-running operation into daily handling, and the reason this product is an engine rather than a platform.
Most “digital employee” products are still a predefined flow:
the number of steps drawn is the number of paths the system can take. That is not an AI coworker that can handle the work. It is a fixed flow with a chat interface.
Each AI coworker has its own workspace. Handling starts when work arrives. Idle time does not occupy a headcount.
Authority to handle cases in existing customer-service, ticket and order systems, limited to what each post requires.
Conversation records, prior judgments and business knowledge remain available for later cases of the same kind.
Responsibilities are defined as business goals. Handling follows those goals, rather than waiting for someone to start each case.
With XunCrew, the organization becomes AI-native.
Existing customer-service, ticket and order systems stay in place. When new work arrives, XunCrew assigns and handles it. Completed work appears in those systems — no one has to start each case.
A new inquiry, ticket or order enters the system.
Assigned to the matching AI coworker. No manual dispatcher.
Judges against its goals, using experience and records.
Closes, assigns, notifies the customer and settles — in the systems you already use.
Progress and boards are available. Staff may take over at any time.
This cycle’s judgment is kept for later cases of the same kind.
No one starts each case. The work keeps cycling.
Business rules and data remain in existing systems. XunCrew is responsible for two things: organizing the AI team, and connecting it with those systems.
Lower labor cost and continuous handling become facts you can accept only when all six are present. If any one is missing, someone still has to start each case.
Each AI coworker has its own workspace, including conversation records, prior experience and handling authority. Handling starts when work arrives. Idle time does not occupy a headcount.
What is delivered to the AI is a set of business goals that can be accepted, not a flowchart. When goals or rules change, handling adjusts. The flow does not need to be redrawn, and scripts do not need to be rewritten.
Intake, assignment, handling and review are configurable posts that work together. Staff do not need to relay work between steps. A delay in one post does not halt the entire case.
When new work appears in existing customer-service, ticket or order systems, it enters XunCrew for handling. Completed work appears in those same systems. They do not need to be replaced. Business data does not need to be moved.
From arrival and the AI’s judgment through to the completed result, every step can be queried by who handled it, when, and on what basis.
High-risk items are sent to staff for confirmation. Authority is limited to what each post requires. Constraints are issued centrally. The scope of independent handling is defined by you.
Acceptance is on business value, not on a demonstration: whether volume, cycle time and staff time show a change that can be confirmed. The sequence is therefore: enter the operation, complete implementation, verify results, then agree commercial terms.
A 30-minute discussion to assess whether customer service, tickets or orders are suitable for AI handling. If they are not, we will say so.
An implementation engineer joins the operation to review the live process: document flow, judgment points and waiting stages.
Prepared on XunCrew: posts assigned to AI, business goals, the steps that need to connect, and the first-period acceptance metric. Written against your process, not a template.
Connection, tuning and release, until AI coworkers handle customer service, tickets or orders in live operations rather than in a demonstration.
Measured with your metrics: volume, cycle time, staff time and cost. This step is complete when the change can be confirmed.
Commercial terms follow validation. The relationship is long-term: the AI team is adjusted as the business develops.
Payment starts hereUntil business results are verified, there is no agreement to sign and no fee to pay. Both parties confirm results against the same business metrics.
Teams already on XunCrew should use the console. Teams still evaluating may contact sales by phone or email.
Manage AI coworkers, configure posts and goals, and review handling progress and records. For existing customers and team members.
Open console →Discuss the business scope, the steps that can be assigned to AI, and the schedule for an implementation engineer to visit. Phone and email are available from the button below.
