Diagnosis of scenes and conditions
Recognition of operational value and feasibility of implementationChecking tasks, data, knowledge, models, interfaces, authority, deployment modalities and manual backsliding to form a clear PoC border.
SHANGHAI ENTERPRISE AI DELIVERY
Shanghai AI Project Outsourcing
ZhiHua Tech provides AIS scene diagnostics, PoC, AI Agent and RAG application development, existing systems applications in operation, production on line and on a continuous basis to assess, auditable, and take-over project delivery to advance enterprise.
Outsourcing of AI projectsAI AgentimplementationLarge model application developmentAI software implementation
Project decision-making conclusions
How the Shanghai AI project should be outsourced
It is not appropriate for AI projects to reverse demand from “what a big model can do” or to consider a demonstration as a complete implementation. It is recommended that a high-value business task be selected to reconcile real data, system interfaces, competencies and risks, and that the PoC assessment be done using a fixed task set, before deciding on production development, the production development, the private deproyment and the input for ongoing operations.
FROM POC TO PRODUCTION
Investing in AI outsourcing projects as evidence
Field operations communication, real mission assessment and production engineering are essential.
PoC True Assessment
Validate effects and costs with fixed samplesRecord the task completion rate, the basis for the answer, the call of the tool, the type of error, the manual intervention, the response time and the cost of the model.
Production implementation and operation
Complete software engineering, governance and handover capacity:: Build applications and interfaces, complete competency audits, monitoring, greyscale, retreat, training, and establish continuous assessment and knowledge updating mechanisms.
Preparation of pre-advisory advice
Clear operational mandates and responsible personsReal sample, knowledge and data authorizationExisting systems, interfaces and testing environmentQuality, efficiency or income success indicatorsAuthority, security and deployment requirementsBudget levels, go-live plans and operational responsibilities
Evidence to be seen in the acceptance.
Assessments and baseline results are reversibleApplication, interface and business process integrityAuthority, audit and manual bottom-up are effectivePerformance, stability and cost are documentedRelease, retreat and failure management enforceableSource code, configuration and transport data to take over
Boundary of cooperation and responsibility
The model ' s effects are probabilities and both parties need to agree on success criteria with a genuine set of tasks. Third-party models, reasoning calculations, data acquisition and external system costs are otherwise recognized; clients need to ensure that data and business authorizations are legal and involved in high-risk operations and final business acceptances.
HIGH-INTENT AI SERVICES
Type of enterprise AI project to be carried over
Build independent applications or add AI capacity to existing systems, based on specific operational tasks, to validate value before progressively producing it.
Agent
enterprise AI Agentimplementation
(c) Enable intelligent bodies to leverage authorized knowledge, data and operational tools to perform multi-step tasks within the manual clearance boundaries.
View Service Customer ServiceAI client service implementation
Connect knowledge questions and answers, business queries, manual seating, competency audits and continuous evaluation.
View Service KnowledgeBusiness knowledge base and RG
(c) Establish a system of competent, evidence-based, retroactive and assessable enterprise intelligence questions and answers.
View Service Document AIAI Document Processing and Quoting
Processing of identification extracts, rule validation, smart quotations, contract information tips and manual review.
View Service Data AIAI data analysis and extraction
Natural language business analysis is supported through indicator semantics, authority governance and security queries.
View Service IntegrationExisting system AI upgrade
Increase access to AI, Agent and automation capabilities for ERP, CRM, OA, worksheet and industry systems.
View ServiceThe common demand for AAIMPLEMENT in Shanghai
Lack of a full AI R & D team in-house and requires external teams to complete validation and implementation
A prototype of AI is available, but the rights, interfaces, assessment and production stability are not complete
I want AI to enter real processes like ERP, CRM, customer service, document or data analysis.
Need for on-site interviews, cross-sectoral coordination and long-range R & D joint-up projects
Implementation path of AI project from validation to production
01
Operations scene, data conditions and risk boundary diagnosis
02
Authentication of real task sets, PoC and success indicators
03
Applied R & D, systems integration and governance
04
Safety testing, greyscale distribution and user training
05
Online monitoring, assessment of regression and continuous optimization
Project deliverables
DELIVERABLESite diagnostics and PoC assessment reports
DELIVERABLENeeds, structure and implementation plan
DELIVERABLEAI application, source code and system interface
DELIVERABLEAssessment, competency and audit programme
DELIVERABLEDeployment, access and transportation
DELIVERABLETraining, handover and optimization programmes
LOCAL DELIVERY
Shanghai field communication and remote research and development collaboration
The site and remote collaborations are organized according to the complexity of the project and do not replace clear scope, responsibility and engineering management in the form of a field presence.
On-site engagement at critical stages
The operational research, process identification, programme review, alignment and go-live phases can be organized as needed in Shanghai.
Continued transparency of the R & D process
The project process is visible through iterative plans, prototype demonstrations, code warehouses, test records and risk lists.
Can take over after delivery
Complete delivery of source code, configuration, assessment and measurement, interface, deployment and transport data, and completion of training and cross-fertilization exercises.
PROOF & DECISION
Continue to learn from real evidence and policy guidance
"B" dissensitisation real cases.
A smart-ass service at the chain.
View advisory classifications, business interfaces, manual synergies, assessment materials and de-sensitization indicators after they are online.
View casesVendor selectionHow do I choose to outsource the AI project?
The verification of cooperation modalities, production works, mutual liability, transfer of assets and evidence of acceptance.
View GuidesCost assessmentHow the cost of the enterprise AI project is estimated
The dismantling budget is based on data, models, interfaces, authority, deployment, assessment and ongoing operation.
View GuidesFAQ
FAQs in outsourcing Shanghai AI projects
How does the Shanghai enterprise AI outsourcing generally start?+
It is recommended that business tasks, data and system conditions, risk boundaries and success indicators be identified before value is validated through a limited diagnostic or PoC before formal software is implemented.
Can AI Agent directly fix the total price?+
The validated scene and stabilization range can be fixed by milestone; data, model effects or original system interfaces are more suitable for completion of the diagnosis or the PoC separately.
What collaboration does the company need for the implementation of AI software?+
Enterprises are required to designate business and technical directors, provide legally authorized data, knowledge, interfaces and testing environments, and participate in real mission assessments, competency confirmation and online acceptance.
Can teams outside Shanghai be involved in the project?+
The Shanghai field communication and remote R & D collaboration could be combined, with on-site support organized according to project needs during the key research, programme evaluation, alignment and go-live phases.
An evaluation of the Shanghai AI outsourcing team?
The description of the operational objectives, existing data and systems, planning time and risk requirements, we will first help you to determine whether it is appropriate for diagnosis, the PoC or the formal software implementation.
Generate AI project evaluation summaryAn evaluation of the Shanghai AI outsourcing team?
Description of the operational objectives, available data and systems, planning time and risk requirements, prior to the diagnosis, the PoC or the formal software implementation.
The first contact is not to send passwords or unsensitive sensitive information.