Don’t start with a tool list, start with a marketing task worth changing.
The three services correspond to three implementation issues: first determine what is worth doing, then set up the process, and make the knowledge it relies on long-term maintenance.
Enterprises that have their own products or complex business knowledge, have high-frequency repetitive work in the marketing team, are willing to provide real samples, confirm business rules, and retain necessary manual judgment.
Diagnosis, implementation and knowledge governance.
Each job will have clear inputs, deliverables, labor responsibilities and acceptance conditions.
AI marketing process diagnosis
Inventory tasks, materials, roles, time consumption, quality and risks, and formulate scenario priorities and phased implementation blueprints.
View diagnostic scope ↗ 02 / BUILD & DELIVERAI workflow and agent development
Configure knowledge input, generation, rule checking, human review, exception handling and operation records, and use real samples for joint debugging and acceptance.
View implementation deliverables ↗ 03 / KNOWLEDGE & GOVERNANCEMarketing knowledge asset construction
Organize product facts, brand rules, channel requirements and review feedback so that knowledge is traceable, maintainable and can be used by the process.
View knowledge structure ↗ METHOD / DELIVERYHow to proceed from diagnosis to delivery?
Understand the project phases, the roles your business needs to be involved in, and how to compare changes before and after implementation.
See how to implement ↗Cycle time, fees, account permissions, system access, data usage and subsequent maintenance will be confirmed individually based on specific scenarios and project scope. The diagnosis may also lead to a conclusion of "not implemented yet."