Scope of integration
Which data, which actions, where results land — avoiding unnecessary system rework.
XUNYE Technology · INTEGRATION & DEPLOYMENT
Integration & Deployment
Start from existing tools and bring AI into the business flow.
The data, sheets, and business systems a company already runs are the foundation. XUNYE first confirms available interfaces, data scope, and operation requirements, then chooses connection methods and runtime environment.
How it runs
Fit into existing work — and plan the maintenance.
Start from how data enters, where tasks run, and where results are written back; confirm interfaces, identities, and exception handling. Deployment is not just choosing a server — it names responsibility for model calls, backups, version updates, and incident response.
01
Existing systems
Documents · sheets · business data
02
Authorized links
Interfaces · import-export · fields
03
Apps & models
Runtime · call boundaries
04
Delivery & upkeep
Write-back · backup · re-verification
Read → process → write back · data location and permissions verified throughout
In practice
Connections and maintenance, arranged together.
Integration scope, method, environment, and upkeep are decided as one picture.
How to connect
Prefer existing interfaces and supported capabilities; for restricted environments, assess what is reachable before choosing an approach.
Where it runs
Evaluate dedicated cloud, hybrid, or on-premises against data location, network, models, and maintenance duty; coordinate local compute where needed.
Upgrades & upkeep
Agree backup, version updates, issue handling, and recovery; re-check affected flows after key connections change.
A sample handoff
Between systems, a shared agreement.
The connection contract a project works from.
- Business goal
- Turn approved material into rows in the agreed sheet
- Read from
- Sources the agreed account can access
- Write to
- Named sheet and fields; other data untouched
- Model calls
- Which fields are sent; where processing happens
- On failure
- Keep task state; avoid double writes
- Maintenance
- Interface updates, backup restore, response — each with an owner
Verification & boundaries
Deployment location and data flow, verified together.
01
Interface I/O verified
02
Real data flow confirmed
03
Backup & restore tested
04
Key flows re-checked after change
Architecture follows conditions
Dedicated cloud, hybrid, and on-premises each carry maintenance demands; the choice follows data, network, models, and people — no default.
Compute and models as needed
Local compute or models are coordinated and adapted when required; a deployable application does not mean every model runs on your devices.
Connections change
After interfaces, permissions, or field structures change, verify affected reads, writes, and recovery before widening use.
FAQ
Mechanisms, conditions, and boundaries.
01What part do APIs and MCP play?
APIs expose data and actions from systems; MCP is one protocol for offering tools and resources to AI applications. Neither replaces account authorization or business scope; use depends on what the system actually supports.
02Dedicated cloud, hybrid, or on-premises?
Map where material, applications, and models sit, then compare network reachability, maintenance capability, and data control. Hybrid keeps some data and links inside your environment while authorized external services are used.
03A successful API call means the job is done?
Not yet — verify the result truly saved, fields match, and retries do not duplicate records. Connection acceptance covers business results and failure recovery, not a 200 response.
04Who maintains it after launch?
Delivery names owners for application, interfaces, model accounts, infrastructure, and data, plus backup, upgrades, and incident response. Take-over, co-maintenance, or ongoing support are agreed separately.
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