01
Business events wait for manual handling
New orders, tickets and alerts are already recorded. Staff must still open the system, assign the work and follow it through. Outside working hours, processing stops.
Built for AI that drives itself
Give your business an AI engine. Let it run itself.
XunCrew is a domain-agnostic multi-agent productivity engine. Existing systems remain unchanged. Business events arrive over a webhook; a multi-role AI team executes against business goals and writes results back to your systems.
No fees before results are verified. A formal agreement follows business validation.
No changes to existing systems
Inbound via webhook, outbound via existing APIs. Business logic and data remain in place.
Isolated runtime
Each AI coworker has an isolated environment, with its own memory, skills and permission boundary.
Goal-driven, not flow-driven
Responsibilities are defined as OKRs, not preset flows. When goals change, execution adjusts accordingly.
Fully traceable
Every operation can be traced by actor, time and rationale.
Challenges
Processes are digital. Execution still waits for a person to start it.
Workflows already live in your systems, yet each step is still initiated by staff. Throughput is limited by working hours.
02
Staff carry information between systems
A single case often spans multiple systems. Time is spent transferring, checking and chasing records; time available for judgment is limited.
03
Flows stall where judgment is required
Automation completes the preceding steps. When the last step requires a decision, the entire flow waits. Waiting often exceeds the time spent on the work itself.
04
AI pilots do not reach production
Assistants and knowledge bases are in place, and demonstrations succeed. In production, assignment and execution remain manual. The AI is not authorized to operate the systems.
Philosophy
Treat AI as a collaborator, not as a tool
This is the distinction between XunCrew and “digital employee platforms” on the market, and the reason this product is an engine rather than a platform.
Most “digital employee platforms” are process automation wrapped in a large language model:
the number of nodes on the canvas is the number of paths the system can execute. That is not an autonomous AI coworker. It is a preset flow with a chat interface.
Tool thinking
AI confined to a preset flow
- Flows and scripts are predefined. Each run requires a manual trigger.
- A chat interface only. It cannot operate the systems. Business actions remain with staff.
- No memory, permissions or isolated runtime. Every interaction starts over.
- When rules change, the flow must be redrawn. Capability is limited to the preset paths.
XunCrew · Collaborator
AI configured to execute independently
- Responsibilities are defined by goals, not by a flowchart. The AI decomposes the work and sets the order of execution.
- It has operating access to existing systems: calling APIs, writing records and sending notifications to complete the work.
- It has an isolated runtime, with its own memory, skills and permission boundary. Experience accumulates over time.
- When goals change, update the goals. The flow does not need to be redrawn.
01 / RUNTIME
An isolated environment
An isolated runtime and state space. The process starts when work arrives and sleeps when idle.
02 / TOOLS
System operating access
Operating rights over existing systems through MCP, skills and APIs, narrowed to the minimum each role requires.
03 / CONTEXT
Memory and knowledge
Conversation history, long-term memory and business knowledge remain available. Prior judgments are retained for later work.
04 / GOALS
Accountable responsibilities
Responsibilities are defined as OKRs. Execution is driven by those goals, not by repeated manual triggers.
With XunCrew, the organization becomes AI-native.
How It Works
How existing systems work with the XunCrew engine
Existing systems remain unchanged. Business events arrive over a webhook. The engine then assigns, executes and writes back — without a manual start for each cycle.
Inbound: existing systems push events to XunCrew through a
webhook — no modification required
1
A business event
A new order, ticket, alert or customer inquiry enters the system.
2
Assigned by role
Routed by role to the matching AI coworker. No manual dispatcher.
3
Decides on the work
Decides against its goals, using memory and business context.
4
Work is executed
Calls existing APIs to place, assign, notify and settle.
5
Results are reported
Chat, progress and boards are available. Staff may take over at any time.
6
Memory is updated
This cycle’s judgment is retained for later work.
↺ Return to step 1 — no manual start required
Outbound: the AI calls existing APIs (MCP / API) to write results back
Every AI coworker receives these three and operates independently
- · Isolated runtime — its own environment and state space
- · Goal board — responsibilities defined as OKRs
- · Memory and context — prior work is retained
No manual start. The cycle continues to run.
Business logic and data remain in existing systems. XunCrew is responsible for two things: orchestrating the AI team, and integrating with those systems.
Capabilities
Autonomous execution requires all six of the following
If any one is missing, the AI still waits for a manual trigger. XunCrew provides all six as part of the engine.
Isolated runtime
Each AI coworker has an isolated environment, including conversation history, long-term memory, skills and permissions. The process starts when work arrives and sleeps when idle. Resources are allocated to active work.
Goal-driven, not flow-driven
What is delivered to the AI is a set of OKRs, not a flowchart. When goals or rules change, execution adjusts. The flow does not need to be redrawn, and scripts do not need to be rewritten.
A coordinated team, not a single assistant
Intake, dispatch, execution and review are configurable roles that coordinate over a message bus. Staff do not need to relay work between steps. A delay in one role does not halt the entire flow.
Two-way integration, no changes to existing systems
Inbound via webhook, with signature verification, idempotency and normalization; outbound through MCP, skills or existing APIs. Existing systems do not need to be modified. Business data does not need to be migrated.
Fully traceable
End-to-end tracing covers the business event, the AI’s decision and the write-back. Every operation can be queried by actor, time and rationale.
Human confirmation
High-risk operations are routed to staff for confirmation. Permissions are narrowed to the minimum each role requires. Constraints are issued from the engine. The scope of autonomous action is defined by you.
Partnership
Validate business results, then enter a formal agreement
Whether AI will operate reliably in your business cannot be judged from a proposal alone. The sequence is therefore: enter the operation, complete implementation, verify results, then agree commercial terms.
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1
Contact sales
A 30-minute discussion to assess whether the business is suitable for autonomous AI execution. If it is not, we will say so.
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2
An FDE on site
A forward-deployed engineer joins the operation to review the live process: document flow, decision points and waiting stages.
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3
An AI-driven plan
Prepared on XunCrew: roles assigned to AI, goal definition, interfaces to integrate, and the first-period acceptance metric. Written against your process, not a template.
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4
Implementation
Integration, tuning and release, until AI coworkers execute work in the production environment rather than in a demonstration environment.
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5
Acceptance on business results
Measured with your metrics: volume, cycle time, staff time and cost. This step is complete when the change can be confirmed.
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6
Agreement and ongoing service
Commercial terms follow validation. The relationship is long-term: the AI team is adjusted as the business develops.
Payment starts here
Implementation risk in the first five steps is borne by XunCrew.
Until business results are verified, there is no agreement to sign and no fee to pay. Both parties confirm results against the same business metrics.
Contact
Contact sales by phone or email
Teams already on XunCrew should use the console. Teams still evaluating may contact sales by phone or email.
Open the console
Manage AI coworkers, configure roles and goals, and review tasks and end-to-end traces. For existing customers and team members.
Open console →Contact sales
Discuss the business scope, the steps that can be assigned to AI, and the schedule for an FDE visit. Phone and email are available from the button below.