The project should demonstrate business value and risk boundaries, not the procurement model or calculator. The diagnosis translates the landscape priorities, data conditions, impact calibres, system interfaces and governance requirements into an implementable PoC programme.
There are multiple AI scenarios but no priority can be determined.
Prepare to build knowledge base, passenger service or business Agent
Increased AI capability for ERP, CRM or existing software
Need to compare cloud-based models, exclusive examples and private deployment
Target positions, operational tasks and existing processes
Desensitive documents, problem samples or historical records
Description of business systems and interfaces required
Data sensitivity levels, privileges and compliance constraints
Site value, frequency, risk and difficulty rating
Assessment of the quality of samples of knowledge, data and issues
RAG, Agent, Workstream and Model Routes
Accuracy, citation, manual takeover and security border design
PoC scope, assessment and measurement, success indicators and operational mechanism planning
The diagnosis does not bind the successor development team and can be used for intra-enterprise project setting, supplier selection or subsequent handover.
The diagnostic default model is a fixed accuracy rate for all questions and does not replace production validation with demonstration effects. The final effect depends on data, models, tool interfaces, calibration and continuous operation.
Costs are assessed on the basis of information completeness, scope of review, scale of systems or equipment and validation complexity
The diagnosis can be used independently and does not require ZhiHua Tech to continue.
If a follow-up PoC or a formal project is entered, whether the cost of the diagnosis is offset by the agreement of the parties
Diagnostics are not subjective evaluations after quick browsing, but are limited, evidence checked, experiments reproduced and uncertainties marked.
The information is classified as “verified facts, client statements, reasonable inferences, items to be verified”; account number is missing, environment is unavailable, data cannot be authorized, etc., so as to avoid miswriting the failure to check.
The diagnostic focus covers the values, frequency, risk and difficulty rating, knowledge, data and problem sample quality assessment, RG, Agent, workflow and model route judgement. The key chain is reproduced through construction, deployment, sample, log, interface or field conditions; the cause, possible impact and subsequent validation of the risk that cannot be repeated is not judged by experience.
The report is reviewed in a format that allows clients to implement or submit to other teams.
The hypothetical examination revealed three problems: the production environment cannot be rebuilt, a historical data field is missing, and there is a style error on the normal page. Priority is not ranked according to the difficulty of repairing, but by business impact, probability and resilience. The failure to rebuild may directly affect failure recovery and should be completed as a matter of priority; historical data issues require quantification of impact records and operational uses; and style errors that do not affect the main process can be followed up. This example simply indicates the method, and formal conclusions must be accompanied by evidence of the project.
At the end of the diagnosis, the client should be able to answer “what is the real state, where are the most important risks, what conclusions have not been validated, what is being done in the next phase, and who needs to cooperate.” If the report is based on technical terms and generalization recommendations, it does not form a scope, schedule or acceptance input, the core value of completing the diagnosis is not available.
Each stage has clear objectives, participatory roles and assessable outcomes, and important decisions are not left to the end of the project.
The most common issues before cooperation are clearly stated in advance.
The scene screening and data gap analysis can be done first. If there is no verifiable sample, the diagnosis will make data preparation a pre-PoC task, without directly committing to the up-to-line effect.
Not included. Diagnosis is used to determine values, boundaries and certification programmes; PoC, formal development, model call and long-term operation will be recognized separately.
The costs are assessed on the basis of the number of scenes, data sensitivity, system interfaces and the need for small validations; the cost of the follow-up project is offset, as agreed by the parties in their contracts.
The sample should cover the main tasks, normal changes, border anomalies and high-risk errors, and gradually increase depending on the uncertainty and the wrong distribution of the results. Dozens of representative professional samples are usually more suitable for the first round than thousands of repeat samples.
View full answerAI Application Development and Enterprise AI Software ConstructionThe data should indicate the source, permission, time version and correct results, while the interface should confirm the documentation, test environment, authentication, flow restriction and writing responsibilities. When information is incomplete, it can be diagnosed and small-scale PoC, while identifying gaps that must be filled before production is developed.
View full answerAI Outsourcing procurement, quotations and acceptancesThe enterprise does not need to complete the complete requirement prior to consulting, but at least prepare business objectives, use roles, representational tasks, existing processes, available knowledge data, associated systems and planning time. Sensitive information can be dissensitized and then opened gradually after the parties have signed a confidentiality agreement. The more information reflects the real task, the easier it is for the AI outsourcing team to judge whether the scene is worth doing, how the PoC is designed and what the cost is.
View full answerAI consultancy, MCP integration, technology outsourcing and systems deliveryThe final results usually include a status diagnosis, a landscape priority, data system gaps, a PoC task letter, an evaluation indicator, a risk list and a phased road map. Each conclusion should be based on a statement of the basis, assumptions and items to be validated. The report should also be used by the enterprise to develop internal projects, compare suppliers and organize follow-up checks and inspections.
View full answerIndependently completed asset inventory, code and architecture review, risk classification and taking over recommendations for project extensions, non-documentation of old codes, system failure to go online and prolonged unmaintained.
For more information.Other diagnostic services• To assess agreements, field networks, hardware routes, data links, certified supply chains and volume transport risks for equipment access, embedded gateways, cloud platforms and business systems synergistic projects.
For more information.Free initial entrance(c) Collate the objectives, status, budget and time within the browser to generate a summary of the needs that can be communicated directly.
For more information.Describe current processes, duplication of effort and available data, first to determine which tasks are suitable for AI and which are more suitable for rule automation or system adaptation.
The first contact is not to send passwords or unsensitive sensitive information.