AI + XR System Integration, PoC & Private Deployment
AI + XR system integration means assembling conversational AI agents, XR simulation content, and your existing information systems and hardware into one system that can be accepted and maintained. It suits agencies and enterprises with a clear application need that require an external team to carry technical integration, deployment, and delivery responsibility. Our scope runs from requirement assessment and proof of concept through custom development, private cloud or on-premise deployment, acceptance documentation, and ongoing maintenance.
- Scope areas
- 3 areas
- Stages
- 6, each with a deliverable
- Deployment
- Cloud / private / on-premise / offline
- Acceptance criteria
- Written into spec and contract
Service scope
System Integration
Wire AI agents, XR content, your existing systems, and on-site hardware into one working system, with responsibility boundaries made explicit.
- Existing-system interfaces (ticketing, membership, booking, training, knowledge management)
- Knowledge base construction and RAG architecture design
- On-site hardware integration (kiosks, large displays, handheld guides, XR headsets, motion platforms)
- Authentication and tiered permission design
- Interface specification documents and responsibility boundaries
Proof of Concept
Before a full budget commitment, validate technical feasibility and real-world effectiveness with a tightly scoped prototype, and produce a scoring report you can decide on.
- Scope and success criteria agreed in writing up front
- A working prototype for one site or one workflow
- Scored against a jointly agreed test set or scenario list
- Feasibility and risk assessment report
- Scale, schedule, and cost projection for the production project
Private Deployment
Deploy where your security policy requires — from private cloud to a fully offline on-site host — with the documentation security review needs.
- Private cloud (your own cloud tenancy)
- On-premise (your own server room)
- Fully offline (on-site host, no external connection)
- Written confirmation of data location, retention, and access control
- Deployment architecture diagrams and security documentation
Process and per-stage deliverables
- 01
Discovery & Current-State Assessment
Confirm use cases, user profile, existing systems and hardware, security constraints, and internal approval process; inventory the completeness of available material.
DELIVERABLE Scope document
- 02
Technical Approach & Specification
Propose system architecture, interfaces, deployment options, and hardware configuration, with acceptance criteria and test methods written into the specification for internal review and procurement use.
DELIVERABLE Architecture description and a specification carrying the acceptance criteria
- 03
Proof of Concept
Build a working prototype within the agreed scope, test and score it in the real environment. If results fall short of the agreed threshold, we adjust direction or stop here rather than proceeding to production build.
DELIVERABLE Working prototype and its scoring results
- 04
Production Build & Integration Testing
Complete development, system interfaces, hardware integration, and deployment; run functional, integration, and load testing, with test records delivered.
DELIVERABLE Deployed system plus functional, integration, and load test records
- 05
Acceptance & Handover
Accept against the specification’s criteria; deliver source code or binaries (per contract), deployment documentation, operations manuals, and training, with warranty scope and period confirmed.
DELIVERABLE Acceptance report, deployment documentation, operations manual, and training records
- 06
Maintenance & Future Expansion
Annual maintenance (system updates, troubleshooting, model and content tuning), or self-operation after handover with a technical support channel kept open — plus planning for additional sites or features.
DELIVERABLE Maintenance records and an expansion plan
Procurement and acceptance
- Deliverables
- The system and admin console, deployment architecture documentation, interface specifications, operations manuals, test records, and training with records. Whether source code is delivered, licence scope, and IP ownership are agreed per contract.
- Acceptance Method
- We recommend agreeing measurable acceptance criteria and test methods at contract stage — correct-answer rate on a test set, average response time, system availability, per-language proofreading pass rate, completion rate for designated scenarios. Avoid unmeasurable wording such as "performs well" as an acceptance condition.
- Security & Data Handling
- Deployment location, retention period, access control, and log retention are confirmed in writing before build. With private cloud, on-premise, or offline deployment, data remains inside Taiwan in the environment you designate and is not sent to overseas servers. We accommodate your existing security review and penetration testing requirements.
- Project Management & Change Control
- Fixed-cadence progress meetings and written status reports; change requests are handled by written change order with schedule and cost impact assessed. Milestones, payment points, and delay liability are stated in the contract.
The full four-column acceptance protocol, ready to lift into a requirement document, is on the AI guide solution page.
Need material you can put into a spec?
Tell us the project type, the systems you already run, and your internal approval process. We will provide an architecture description, acceptance-criteria templates, and a deployment recommendation.