Turning frontier AI potential into real-world ROI growth. Rejecting hollow "PPT concepts" and cheap wrappers — partnering with boards and leadership to map the path forward.
Medium-to-large enterprises with cutting-edge business ideas but lacking in-house algorithms and product teams
External outsourcing vendors do not understand the characteristics of LLMs, resulting in delivered products that are merely "wrapper websites" or riddled with LLM hallucinations, making them extremely difficult to deploy to a production environment.
Clarify and pinpoint genuine pain points (rejecting thin wrappers to ensure AI is the optimal solution);
Agile Development: Deliver a v1.0 prototype in the initial phase, leveraging high-frequency data to validate the logic in an offline sandbox;
System Refinement: Establish exception fallback strategies and deliver a full suite of production-ready assets.
Common questions on agile LLM implementation, hallucination prevention and ROI measurement.
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Build a group supervision and collaboration platform featuring clear responsibilities, visible progress, controllable risks, and end-to-end traceability, centered on task logging, departmental reporting, progress tracking, executive directives, upcoming deadline alerts, and completion archiving.
系统将分散在线下表格、群消息和人工催办中的督办事项统一纳入线上台账,解决事项分散、进展不透明、逾期提醒不及时、批示难闭环和权限边界不清等问题。