Quoting takes too much checking
Product details, supplier updates and pricing rules live in different places.
How we help
Explore the serviceMap the quote inputs, flag missing information and keep final prices under human review.
PETERAI · BUSINESS × AI
Make AI usefulin the work that matters.
From quoting and repeated questions to team handovers. We help SMEs turn a specific business problem into a workflow people can use and review.
Enterprise AI Consulting · AI Agent Implementation · Enterprise Knowledge Base
01 / WHERE WE START
Does this sound familiar?
Start with a frequent task, an accountable owner and a clear way to check the output.
The same questions come back every day
People keep asking the owner for answers buried in documents or experience.
How we help
Explore the serviceOrganize a source-backed knowledge base with clear review and escalation rules.
Good work depends on a few people
Planning, delivery and review are hard to repeat when the method stays in someone’s head.
How we help
Explore the serviceTurn experience into practical templates, review criteria and a shared workflow.
02 / WORKFLOW EXAMPLES
Client Practice & In-house Work
Explore two anonymized client engagements and PeterAI and KK-studio’s brand-content practice. AI-generated scenes illustrate the work, not actual client photographs, screenshots or finished films.
01 / CLIENT PRACTICE
Lighting Hardware Manufacturer | An AI Assistant for the Owner
- The problem
- Business information, experience and judgment need to be called on repeatedly in daily work.
- The approach
- Customized an owner-facing AI assistant with a local knowledge base, supported by ongoing strategic advisory work around operations and coordination across development, production and sales.
- Practice to date
- The assistant and local knowledge base have entered actual client use. Further workflows are advanced individually with defined inputs, owners, human review and acceptance criteria.
Anonymized ongoing client engagement. Quoting, inventory and workshop modules require separate status verification. Business decisions remain with the client; no unverified quantitative results are claimed.
02 / CLIENT PRACTICE
Tax and Finance Advisor | A Dedicated Work Assistant
- The problem
- Policy interpretation, document preparation, client questions and professional judgment need a structured, reusable working method.
- The approach
- Mapped real work scenarios and customized an AI assistant with role responsibilities, scenario instructions and knowledge-management rules.
- Practice to date
- One set of role rules and seven scenario modules, with requirements for client-data anonymization, policy currency checks and human confirmation.
Anonymized client practice. The assistant supports document preparation, draft answers and points to verify. A professional reviews conclusions; no unmeasured efficiency gains are claimed.
03 / BRAND CONTENT & TVC
Brand Content & Commercial Films | PeterAI × KK-studio
- The problem
- Professional services need to be understood, and product benefits need to become visuals buyers care about. Content supports lead generation, brand promotion and product sales.
- The approach
- Spanning PeterAI’s own consulting short films and KK-studio’s brand promotion and television commercial (TVC) practice. Start with the audience and product benefits, then develop concepts, narration, storyboards and production methods, with human review of business claims and final visuals.
- Practice to date
- PeterAI has developed ten-second consulting-film practice; KK-studio works in brand planning and product commercials. Live-action or AI-assisted production is selected for each project, with a clear next step toward a consultation, inquiry or purchase.
Own consulting content and brand-promotion practice. Leads, product sales and order growth are goals, with results requiring publication, inquiry and transaction evidence. The AI-generated production scene is not an actual client film.
Evidence
See the real work — not just descriptions
A short work video shows how AI is actually built into real business processes. It demonstrates methods and workflows, not promised results.
Work video
The video demonstrates methods and workflows, not guaranteed business outcomes.
03 / WORKING TOGETHER
Clear steps. Tangible handover.
Understand the work
You bring a workflow, its owner and a redacted sample. We map where time and errors accumulate.
Workflow map and pilot scopeAgree on the rules
Together we define the baseline, data access, reviewer and conditions for human takeover.
Responsibilities and acceptance criteriaRun a limited pilot
AI assists agreed tasks. Your team reviews critical outputs and takes over exceptions.
Working pilot and usage recordsReview and hand over
Compare results against the baseline. Decide together whether to improve, expand or stop.
Review report, operating guide and handoverYour team owns business decisions and approvals. PeterAI does not promise operating results on a client’s behalf.
Understand the business. Build with the people doing it.
Based in Zhongshan, PeterAI works with business owners and frontline teams on AI consulting, workflow implementation and enterprise knowledge systems.
Meet PeterAIContact PeterAI
Before scanning,bring one real workflow
You do not need to understand AI first. Just tell me which workflow consumes the most people, repeats most often, makes the most mistakes, or affects orders most. I will help you decompose it, configure agents, run a pilot, and read the data.
✓The most labor-consuming workflow
✓Who does it now and how
✓The business metric you want to improve
✓Which results must be manually reviewed
Enterprise AI workflow conversation
Start with one real workflow
This is not a tool recommendation call. It is a workflow diagnosis: whether to start, which small loop to test first, how to accept results, and how to handle failures and capture exception cases.
WeChat ID: TFC5293
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