What is the difference between one AI specialist and an AI specialist team?
The difference is not which is “smarter,” but whether the work needs division of labour. One AI specialist suits a focused task with a clear scope and repeatable steps: it uses a defined set of knowledge, rules, and tools to produce one result. A specialist team suits work that spans several stages, with different specialists handling research, analysis, drafting, or execution before a coordinating role combines and checks the result. For a hypothetical example, one meeting-notes specialist may be enough to turn a transcript into action items. If the job runs from a customer brief through market research, solution design, a quotation draft, and follow-up, research, solution, data, and follow-up specialists can work together before a person confirms the final result.
Can it connect to WeChat, Lark, Excel, CRM, or ERP?
In many cases, yes. We first check whether the existing system supports a direct connection, or start with file import, export, or browser-based work. Complex ERP changes, custom development, company-hosted deployment, and large moves of old data are assessed separately.
What happens when AI is wrong? Does it replace staff decisions?
AI can be wrong, so we do not let it carry a process through without limits. Before launch, we agree what it may handle on its own and what always needs a person’s confirmation. If information is missing, conflicting, or outside the agreed rules, the AI stops and asks the responsible person instead of guessing. It can organise information, prepare drafts, and update routine records, while payments, approvals, external messages, and contractual commitments still require a person’s final decision. We also keep a record of the steps so mistakes can be found and corrected.
Do you offer enterprise training or deeper AI deployment beyond specialist teams?
Yes. We can deliver enterprise training and hands-on workshops, then continue by simplifying the work, organising company materials, connecting complex systems, or deploying in the company’s own environment. For a first structured move into AI, teams can bring real work into the room, identify the best part to hand over first, and only then decide whether to build a longer-term solution. Scope and pricing are agreed separately.
Are model fees, software, and ongoing support included?
Packages include the stated build, trial, and adjustment work. Third-party AI fees, software subscriptions, travel, extra material preparation, and ongoing support are confirmed separately. For sensitive information, we first agree who may see it, which external services are used, and how it is kept.
