Find work worth changing
Identify a real problem, the intended outcome and a useful scope.

From discovery to delivery. From applications to operations.
Build AI capability that creates lasting business value.
AI transformation starts with the business. Useful applications need the right data, systems, people and workflows around them.
Identify a real problem, the intended outcome and a useful scope.
Connect information and existing software in a testable application.
Align roles and handoffs, then improve through operating feedback.
Support across the AI transformation journey, with technical and specialist resources organized around your needs.
Business × AI × DeliveryTechnology, participants, deliverables and support terms are agreed before the project begins.
Identify useful opportunities, define priorities and agree the scope and acceptance criteria around a business goal.
Review documents, data, access permissions and existing software. Coordinate data preparation and integration assessment.
Coordinate prototypes for knowledge retrieval, document processing, content creation and task assistance, then test them against real needs.
Connect AI assistance, rule checks, human approvals and system actions. Define ownership at each handoff and exception.
Coordinate trials, training and handover in the customer environment so that the people using the workflow can take ownership.
Track issues and feedback within an agreed support scope. Coordinate knowledge updates, maintenance and changes after launch.
Choose a scenario to see how AI, people and systems can work together. These illustrative workflows are not customer case studies.
Connect supplier quotations and purchasing approvals in one traceable workflow.
Discuss a similar challengeIllustrative workflowKeep source documents and field references
An authorized owner makes the decision
Act on approved information and keep a trail
These are common illustrative challenges. Discovery establishes the actual situation.
Agree the scope before work begins. Bring business and technical contributors together around shared goals, responsibilities and acceptance criteria.
Goals, scope, priorities
Data, access, interfaces
Prototype, test, iterate
Owners, approvals, exceptions
Trial, training, handover
Feedback, support, changes
From a discovery engagement to a phased project or ongoing collaboration. Fees correspond to defined work and delivery responsibilities.
For teams that want to clarify the problem, scope and practical next steps.
For teams with a defined use case to validate and put into practice.
For partners seeking presales, requirements analysis, China-based coordination or ongoing support.
We focus on enterprise AI transformation through requirements analysis, solution communication, presales support and project coordination. We organize technical and specialist resources around clearly defined work.
We work with businesses, consultancies, technology service providers and international teams. Remote collaboration is supported; location, timing and responsibilities for onsite work can be agreed in advance.
From the service landscape to practical delivery, explore the questions that help a business move forward.
Define how work needs to change before choosing the technology or service.
Understanding AIA provider’s starting point shapes its strengths and the capabilities it needs to add.
Industry perspectiveUse a business baseline, evaluation samples and acceptance criteria to guide the next investment.
Delivery practiceSeparate discovery, implementation, software and operations so costs correspond to clear work.
Working togetherTell us how the work happens today, where the friction is and what you want to change. We can turn that conversation into a practical scope.
Discuss your projecthello@pluvo.techPhone: +86 191 1874 5334For international enquiries, email works best. Translation support can be arranged for meetings.