AI OPSFLOW  /  咨询 · 策略 · 实施 ADVISORY · STRATEGY · IMPLEMENTATION

AI
重构你的
运营流程
Rebuild your
operations
with AI.

我们帮助中小企业梳理运营流程、识别效率瓶颈,并落地 AI 自动化方案——让企业少用人、少出错、跑得更快。

We help mid-market companies map their operations, find what's worth automating, and deploy AI systems that actually run — fewer mistakes, fewer hires, faster cycles.

我们梳理流程,找出值得自动化的环节,然后亲手把它建起来——直到它真正产生价值。

We map your processes. We find what's worth automating. Then we build it — and stay until it earns its keep.

50+ 企业服务Mid-market clients
8w 平均落地周期To production
98% 客户持续合作率Client retention
1d 响应承诺Response time
01 — 前提The Premise

真正的瓶颈很少在技术,
而在 流程本身。
The bottleneck is rarely
the technology. It's the process.

  1. 01

    人工重复工作太多 Too much repetitive labour

    员工大量时间消耗在复制粘贴、整理表格、回复重复问题上。这些工作不是"应该用 AI"——而是本来就不该由人来做

    Your team burns hours on copy-paste, spreadsheet wrangling, and re-answering FAQs. The question isn't "should we use AI here" — it's why was a human ever doing this.

    Repetitive Toil
  2. 02

    客户跟进不及时 Conversion windows missed

    线索分散在微信、表单、邮件里,跟进全靠记忆。转化窗口在 24 小时内,而你的销售用 48 小时才回复。

    Leads scatter across WeChat, web forms, and inboxes. Sales rely on memory. The conversion window closes in 24 hours — your team replies in 48.

    Lost Conversion
  3. 03

    数据分散,无法决策 Data scattered, decisions delayed

    客户、销售、运营数据散落在 6 个工具里。老板想要一个真实的全局视图——拿不出来。

    Customer, sales, and operations data live across six different tools. Leadership wants a single, truthful dashboard — and can't get one.

    Decision Latency
  4. 04

    运营依赖个人经验 Operations live in people's heads

    核心流程跑在某几个老员工脑子里。新人难以上手,骨干一离职业务就停摆——这不是人的问题,是流程的问题。

    Critical processes live in the heads of a few veterans. New hires can't ramp. When a key person leaves, the business stalls — that's a process problem, not a people problem.

    Tribal Knowledge

"我们提供的不是 AI 工具,而是一整套能让 AI 在你公司真正跑起来的运营升级方案——从诊断、设计到落地、优化。"

"We don't sell you AI tools. We deliver an operational upgrade that makes AI actually work inside your company — from diagnosis and design through deployment and optimization."

The AI OpsFlow Thesis

02 — AIOP Framework

从流程到自治运营,
五个阶段的完整路径。
A five-stage path from
process to autonomous ops.

每一阶段都交付可见的产出物,不是"咨询完就结束了"。

Every stage ships a concrete artifact. The report is never the deliverable.

  1. 01
    Flow Mapping

    流程拆解 Visualize how the work actually moves.

    把口头描述的"我们怎么干"转成端到端、可视化的流程图。每个环节都标明输入、输出、责任人、耗时。

    Translate "this is how we do it" into an end-to-end process diagram. Every step labelled with inputs, outputs, owners, and elapsed time.

    • End-to-end process diagram
    • RACI & latency matrix
  2. 02
    Bottleneck Analysis

    瓶颈分析 Find what's slow. Find what's broken.

    定位耗时最长、错误最多、最依赖人脑的关键环节。用数据证明,不靠直觉判断。

    Identify the slowest, error-prone, most-human-dependent steps. Backed by data, not gut feel.

    • Critical-path bottleneck report
    • Cost-of-delay quantification
  3. 03
    AI Opportunity Mapping

    AI 机会点识别 Score every gap by value × feasibility.

    用「价值 × 可行性」矩阵评估每个瓶颈的 AI 化空间,圈出优先级最高的 2–3 个突破口。

    Plot every bottleneck on a value-vs-feasibility matrix. Pick the 2–3 highest-leverage interventions to pursue first.

    • Opportunity prioritization matrix
    • ROI projection per intervention
  4. 04
    System Redesign

    流程重构 Rebuild the process around AI & humans.

    重新设计 AI 加入后的流程图,明确人机分工、衡量指标、回滚方案。

    Design the to-be process. Specify human-in-the-loop boundaries, success metrics, and rollback plans.

    • To-be process blueprint
    • Human-in-the-loop design
  5. 05
    Implementation

    落地实施 Ship to production. Stay until it works.

    选型、搭建、培训、上线、监控。我们陪跑直到指标真正达成——不是 demo 通过验收就走人。

    Selection, build, training, launch, monitoring. We stay until the KPI is hit — not just until the demo is signed off.

    • Production rollout & training
    • 30 / 60 / 90-day KPI tracking
03 — 合作模式Engagements

三种合作方式。 Three ways to
work with us.

SVC.01 2–4 weeks

AI 运营流程
诊断
Operations
Diagnostic

一次完整的运营流程审计。我们走访关键岗位、画出真实的端到端流程,识别低效、重复、可自动化的环节,输出诊断报告与优先级路线图。

A full operational audit. We interview key roles, map the real end-to-end flow, identify what's wasteful, repetitive, and automatable, and deliver a prioritized roadmap.

  • 端到端流程审计End-to-end process audit
  • 瓶颈量化分析Bottleneck quantification
  • AI 机会矩阵AI opportunity matrix
  • 优先级路线图Prioritized roadmap
开始诊断Start a diagnostic
SVC.03 Ongoing

AI 运营
托管
AI Ops
Retainer

持续优化已上线的自动化系统。月度数据复盘、模型与 prompt 调优、新场景持续扩展——让你的 AI 系统越用越强,而不是越用越僵。

Continuous optimization of live automation. Monthly performance reviews, model and prompt tuning, expansion to new use cases — your AI gets sharper over time, not stale.

  • 月度效果复盘Monthly performance review
  • 提示词与模型调优Prompt & model tuning
  • 新场景扩展New use-case expansion
  • 季度战略同步Quarterly strategy sync
了解托管Engage retainer
04 — 应用场景Use cases

AI 已在这里真正赚回成本。 Where AI earns
its keep today.

以下场景中我们已帮助企业实现可量化的提效与降本,每一个都有真实数据支持。

In each of these scenarios we've delivered measurable efficiency and cost gains — every one backed by client data.

USE.01

客户咨询自动回复 Inbound support automation

7×24 不间断响应。减少 60% 重复客服,转人工时已带完整上下文。

24/7 inbound coverage. 60% fewer repeat tickets; human handoff arrives with full context.

−60% repeat tickets
USE.02

销售线索自动跟进 Lead nurture & follow-up

分群打标 + 自动触达 + 销售洞察。转化率提升 25–40%

Smart segmentation, automated outreach, sales-ready insights. Conversion up 25–40%.

+25–40% conversion
USE.03

内容营销自动生成 Content marketing pipeline

从主题策划到多平台发布的内容流水线。内容产能 ×5,且风格统一。

From topic ideation to multi-channel publishing. 5× content velocity with consistent voice.

5× content velocity
USE.04

CRM 客户分层 Behavioural CRM tiering

基于行为信号自动分层与触达节奏,销售把精力放在最该跟的人上

Tiering and cadence driven by behavioural signals — sales focuses on the right accounts.

+30% sales focus
USE.05

内部任务自动提醒 Cross-tool task tracking

跨工具任务追踪与卡点告警。项目逾期率下降 50%

Task tracking and stuck-point alerts across tools. 50% drop in overdue work.

−50% overdue tasks
USE.06

运营数据自动分析 Auto-generated ops briefings

每周自动产出经营简报,老板抬手就看完,决策更快。

Weekly auto-drafted ops briefings — leadership reads in two minutes, decides faster.

Weekly auto-brief
05 — 项目实绩Selected work

三个真实项目,
从诊断到跑出结果。
Three engagements,
from diagnostic to shipped outcomes.

客户名称已脱敏,所有指标皆来自上线后的真实业务数据。

Client names anonymized. Every metric measured from production after launch.

CS.01 教育 · K-12 连锁 Education · K-12 chain 10 wk
年化节省成本 Annual cost saved ¥120 $170K 销售运营成本下降 + 转化提升带来的复合收益(上线 6 个月测算) Sales-ops cost reduction + recovered conversion (measured at 6 months post-launch)

把 48 小时的销售跟进,
压到 8 分钟首响应。
From 48-hour follow-up
to an 8-minute first reply.

挑战Challenge

线索散落在微信群、表单、400 电话;销售凭记忆跟进,48 小时之后才首响应——转化窗口早已关闭。

Leads scattered across WeChat, web forms, and inbound calls. Sales replied from memory at 48h — past the conversion window.

方案Solution

统一线索池 + AI 自动分群与即时首响;销售看到的是带画像与优先级的列表,不再是 raw 线索。

Unified lead pool, AI segmentation, instant first reply. Sales sees a prioritized list with full profile, not raw rows.

  • 8min 首响应时长First reply
  • +38% 线索转化率Lead conversion
  • ×1.6 销售人均产能Sales productivity
CS.02 医美 · 区域连锁 Healthcare · regional chain 8 wk
年化节省成本 Annual cost saved ¥180 $250K 客服人力压缩约 4 个 FTE + 流失客户挽回(按上线后 12 个月年化) ~4 FTE in customer-service capacity reclaimed + lost-customer recovery (annualized over 12 months)

客服首响应从 6 分钟,
降到 30 秒。
Inbound first reply, from
6 minutes to 30 seconds.

挑战Challenge

咨询量大、客服紧张;70% 是 FAQ 类重复问题,高峰时段客户排队 6 分钟以上,差评率上升。

High volume, thin staffing. 70% of tickets were FAQ-class. Peak-hour wait exceeded 6 minutes; CSAT dropping.

方案Solution

部署带知识库的 AI 客服 Agent,重复问题自动闭环;复杂咨询带摘要和上下文转人工,客户无需重复描述。

Deployed a knowledge-grounded AI agent. Repeats handled end-to-end; complex cases handed to humans with full context, no re-asking.

  • 30s 首响应时长First reply
  • −65% 人工分流量Human handoff
  • +21pp 客户满意度CSAT
CS.03 制造 · B2B 中型企业 Manufacturing · mid-market B2B 12 wk
年化节省成本 Annual cost saved ¥360 $500K 库存积压释放 + 决策延迟造成的损失回收(按上线后 9 个月推算年化) Inventory drag released + decision-delay losses recovered (annualized after 9 months in production)

老板的周一早晨,
4 小时 到 5 分钟。
The Monday morning brief,
from 4 hrs to 5 minutes.

挑战Challenge

销售、生产、库存数据散在 6 个系统,老板每周末手动拼凑经营简报,决策周期延迟 7 天以上。

Sales, production, and inventory lived across six systems. The CEO hand-assembled the weekly brief — decisions ran 7+ days late.

方案Solution

数据集成 + AI 经营简报流水线:每周一早自动产出异常清单与建议动作,逐项可追溯到原始数据。

Integrated the six systems and built an AI briefing pipeline. Every Monday it ships an anomaly list with recommended actions, each line traceable to source.

  • 5min 简报准备时长Brief prep time
  • −71% 决策周期Decision cycle
  • 100% 指标可追溯Traceable

还在犹豫你的业务能否复制这些结果?来一次免费诊断 Curious whether your operation can replicate these outcomes? Book a free diagnostic

06 — 主张Manifesto

客户为何选择我们。 Why companies
choose us.

i.
我们不为了用 AI 而用 AI。
We don't deploy AI for the sake of AI.

先把流程问题搞清楚,再决定哪里需要 AI、哪里只需要规范化。
很多场景,一张清晰的 SOP 比一个 LLM 管用得多。

We map the process first. Only then do we decide what needs AI and what just needs cleaner SOPs.
More often than you'd think, a one-page playbook beats a language model.

ii.
报告不能让公司运转。系统才能。
Reports don't run companies. Systems do.

我们不只是写报告。从方案设计到上线运行,全程陪跑——直到系统真正在你公司每天被使用、被信任、产生回报。

We don't write reports and walk away. We stay with the build, the rollout, the tuning — until the system is used daily, trusted, and earning.

iii.
无法衡量的,我们就不提案。
If we can't measure it, we don't pitch it.

每个方案都绑定可量化指标——节省的人时、提升的转化、缩短的周期、回收的成本。
没有 KPI 的提案,不是提案,是猜测。

Every proposal carries measurable KPIs — hours saved, conversion gained, cycles shortened, cost recovered.
A proposal without numbers isn't a proposal. It's a guess.

iv.
最好的系统,是你能自己运转的系统。
The best system is the one you can keep running.

我们交付的是一套可继承的方法和系统——而不是只有我们能维护的"黑盒"。
培训、文档、运维手册一并交接,让你独立把它跑下去。

What we hand over is a method and a system that you own — not a black box only we can maintain.
Training, documentation, and runbooks come with the build. You keep operating it.

07 — 开始合作Get started

想知道你的企业
哪些流程可以被 AI 重构?
Want to know which
processes you can rebuild with AI?

预约一次 AI 运营流程诊断。
我们将帮你找出最值得自动化的业务环节,并给出可执行的路径图——完全免费、无任何义务。

Book a free AI operations diagnostic.
We'll help you identify the highest-leverage processes to automate and outline a concrete path to get there — free, no commitment.

  • 01完全免费Free
  • 021 个工作日内回复Reply within 1 business day
  • 03不强制销售No hard sell
  • 04信息严格保密Strictly confidential
合作模式Engagement model
流程诊断Initial diagnostic 2–4 weeks
设计与交付Build & deploy 8–16 weeks
优化托管Optimization retainer Ongoing
服务行业Industries

教育培训 · 医疗健康 · 零售连锁 · 专业服务 · 本地服务 · 制造业

Education · Healthcare · Retail · Professional services · Local services · Manufacturing