domorewith.ai 是一家以 AI 为原生架构的企业咨询公司。我们以 One-Person Company(OPC)模式组织交付——每一位高级顾问都是独立的项目责任主体,统筹 AI 工作流、资深专家与数据资产,为企业提供确定性的决策输出与可落地的转型成果。以人为核心,以 AI 为杠杆。 domorewith.ai is an AI-native enterprise advisory firm. We deliver through the One-Person Company (OPC) model — each senior consultant is a self-accountable engagement principal, orchestrating AI workflows, domain experts, and proprietary data into decisions you can act on. Human-led. AI-leveraged.
One-Person Company(OPC)是我们为企业客户设计的交付模式——每一次合作,都由一位具备端到端责任能力的资深顾问牵头。他既是你的战略对话者,也是方案的执行者,同时统筹 AI 工作流、领域专家与数据资产。这意味着更短的决策链、更清晰的归属、以及一次合作就能交付的、可落地的成果。 One-Person Company (OPC) is the delivery model we've designed for our enterprise clients — every engagement is led by a senior consultant with full end-to-end responsibility. They are your strategic counterpart and your operating hand, orchestrating AI workflows, domain experts, and data assets in the background. The result for you: a shorter decision chain, clear ownership, and outcomes that actually ship within a single engagement.
签约顾问即执行顾问。你的 CIO、CTO 或业务负责人对接的,始终是同一位具备决策权的资深专家——无分析师中转,无观点损耗。The consultant who signs the SoW is the one who does the work. Your CIO, CTO, or business lead speaks with the same senior decision-maker throughout — no analyst relay, no lost signal.
研究、建模、文档、评估由 AI 工作流并行处理,顾问将精力集中在判断、决策与落地。客户获得的是经过审查的结论,以及沉淀下来的可复用资产。Research, modelling, documentation, and evaluation run in parallel AI pipelines — freeing the consultant to focus on judgment, decisions, and deployment. You receive vetted conclusions, plus the reusable assets behind them.
从问题定义、研究、方案设计,到上线、运维交接、迭代回顾——由同一责任主体贯通,不存在项目中期的"换人稀释"。Problem framing, research, solution design, deployment, ops handoff, and iteration review — all held by a single accountable principal. No mid-engagement rotation, no diluted commitment.
每一次合作交付的不只是报告,还有可运行的 AI 工作流、评估数据集与决策日志,全部部署在客户环境中,审计可追溯、团队可接管。Every engagement delivers more than a report — it ships running AI workflows, evaluation datasets, and decision logs, all deployed into your environment. Auditable, transferable, yours.
我们与 CIO、CTO、业务负责人持续对话,反复听到同一类问题——传统咨询模式正在成为企业 AI 转型的瓶颈,而非加速器。以下是客户最常提到的五个困境,以及我们如何从交付模式层面解决它们。 In conversations with CIOs, CTOs, and business leaders, we keep hearing the same pattern — the traditional consulting model has become a bottleneck to AI transformation, not an accelerator. Here are the five client-side challenges we hear most, and how our delivery model addresses each.
每个领域由一位具备产业背景的资深 OPC 顾问牵头,根据企业客户的具体情境编排 AI 工作流与外部专家资源,交付可落地、可审计、可持续运行的成果。 Each practice is led by a senior OPC principal with deep industry experience, orchestrating AI workflows and external specialists around the specific context of each engagement — delivering outcomes that are actionable, auditable, and built to run.
为企业制定 AI 路线图、高价值用例评估,以及从概念验证到生产部署的技术与组织实施路径。AI roadmap, high-value use-case assessment, and the technical and organisational path from proof-of-concept to production.
将 AI Agent 嵌入核心业务流程——客服、风控、供应链、财务——以压缩单位成本与响应时延,并保留完整的审计轨迹。Embedding AI agents into core business processes — service, risk, supply chain, finance — to compress unit cost and cycle time while preserving full audit trails.
基于 AI 模型的市场细分、定价、渠道与增长实验;每一项建议均附可复现的数据与模型依据。AI-model-grounded segmentation, pricing, channel design, and growth experiments — each recommendation backed by reproducible data and the model behind it.
构建企业级 RAG 系统、知识中台与 Agent 工作流,使组织的隐性知识可检索、可验证、可复用。Building enterprise-grade RAG systems, knowledge platforms, and agent workflows — making tacit organisational knowledge queryable, verifiable, and reusable.
与一把手及 HR 负责人协作,重构 AI 时代的岗位定义、能力模型与激励机制,使组织具备持续的 AI 杠杆能力。Working with the CEO and head of HR to rearchitect roles, capability models, and incentives for the AI era — so AI leverage compounds over time.
为 C 级管理者与董事会提供 1:1 决策支持——供应商评估、技术路线判断、投资取舍,以证据为基础做出关键决策。1:1 decision support for C-suite and boards — vendor assessment, technology path selection, investment trade-offs — grounding critical decisions in evidence.
我们不承接以月为单位才能看到产出的项目。每项合作被分解为清晰的 14 天冲刺,每个冲刺都附带一项可供客户验收的交付物。 We don't run multi-month engagements where the first artefact arrives at the end. Every engagement is structured as discrete 14-day sprints, each closing with a reviewable deliverable.
OPC 顾问与业务负责人直接对话,将模糊的业务痛点收敛为可被回答的具体问题。The OPC principal works directly with your business owner to compress ambiguous pain into answerable, scoped questions.
内部数据、外部情报与专家访谈通过 Agent 工作流并行处理,以数周的工作量在数日内完成。Internal data, external intelligence, and expert interviews are processed in parallel through agent workflows — weeks of effort compressed into days.
提出具体方案,并通过 AI 反事实推演检验其在多种市场情境下的稳健性。A concrete recommendation, stress-tested through AI counterfactuals against multiple market scenarios.
交付物、决策日志与可复用的 AI 工作流一次性移交客户,随即评估是否进入下一轮冲刺。Deliverables, decision logs, and reusable AI workflows are handed over in full — followed by a clean decision on whether to run the next sprint.
我们的交付体系从成立第一日便围绕 AI Agent 架构,而非在传统流水线之上附加 AI 模块。AI 是底层基础设施,不是装饰层。Our delivery architecture has been built around AI agents from day one — not retrofitted onto a legacy pipeline. AI is infrastructure, not an add-on.
不存在"合伙人售前、初级交付"的结构错配。签约顾问即执行顾问,客户对接同一位决策者直至项目结束。No structural mismatch between who sells and who delivers. The consultant who signs the SoW executes it — clients work with the same decision-maker from kickoff to close.
我们的营收不随项目规模的膨胀而膨胀。AI 带来的效率增益直接传递给客户,我们的利润来自杠杆,而非工时堆砌。Our revenue does not grow with scope. AI efficiency gains pass through directly to the client; our margin comes from leverage, not from billable hours.
每次合作交付的不仅是报告,更是一套可持续运行的 AI 工作流。合作结束后,客户掌握的是可运行的系统,而非仅存档的文档。Each engagement delivers not only a report but a production-ready AI workflow. When the engagement closes, clients retain an operating system — not only an archived deck.
我们不是精品咨询公司,亦非自由顾问联盟。每位 OPC 独立承接并对项目全程负责,同时共享统一的 AI 基础设施、案例资产与客户网络。 Not a boutique firm, nor a freelancer collective. Each OPC takes full accountability for their engagements while sharing common AI infrastructure, a case asset library, and a curated client network.
前某国际咨询合伙人。12 年企业战略经验,专注 AI 用例优先级与 POC-to-production 路径。Former partner at an international firm. 12 years in corporate strategy. Focus: AI prioritisation, POC-to-production pathways.
前大型零售 COO 办公室。擅长把 AI Agent 嵌入客服、风控、供应链,压缩单位成本 30%+。Formerly COO office at a large retailer. Embeds AI agents into support, risk, supply chain — 30%+ unit-cost compression.
前 SaaS 公司 VP Product。把定价、渠道、增长实验建在 AI 模型之上——结论有数据,不止有直觉。Former VP Product at a SaaS company. Grounds pricing, channels, growth experiments in AI models — evidence over instinct.
前头部互联网公司算法架构师。为企业搭建可审计、可追溯的 RAG 与 Agent 工作流。Former algorithm architect at a major internet firm. Builds auditable, traceable RAG and agent workflows for enterprises.
前管理咨询组织线合伙人。与企业一把手协作,完成 AI 时代下从岗位设计到绩效机制的系统性组织升级。Former org-line partner at a management consultancy. Partners with CEOs on end-to-end organisational upgrades for the AI era — from role design to incentive reform.
前跨国企业 CEO。为 C 级管理者提供 1:1 决策支持,协助在 AI 供应商选型、技术路线与组织动作之间做出基于证据的关键决策。Former multinational CEO. Provides 1:1 decision support to C-suite leaders on AI vendor selection, technology paths, and organisational moves — grounded in evidence.
"对接的是一位顾问,但输出的清晰度超过了我们此前与三家大型咨询公司合作的总和。第 14 天我们已开始实施,而不是等到第 90 天。" "One consultant across the table — and the clarity we received surpassed the combined output of three major firms we had previously engaged. We were executing by day 14, not waiting until day 90."
请向我们描述你所面对的问题。在 30 分钟内,你将清楚这是否是一次适合 OPC 模式的合作。若不适合,我们会如实相告。 Describe the problem you're facing. Within 30 minutes you'll know whether an OPC engagement is the right fit. If it isn't, we'll say so directly.