The Three Major Obstacles on the Front Lines of Business Operations
I work as a frontline business coordinator at my company, liaising daily with central air-conditioning installation scheduling teams across the country. Last year, almost by accident, I became one of the company’s first “AI Pioneers.”
Last autumn, we tackled a particularly tough assignment: a chain brand needed to install equipment simultaneously across 50 new stores in 30 cities nationwide.
Anyone with construction experience knows that concurrent multi-city projects are nothing short of a delivery-site nightmare.
Information silos, inconsistent standards, and loss of schedule control—these are the three major obstacles weighing down frontline operations.
First: Information Silos
Dozens of job sites. Hundreds of workers. Just aggregating daily progress updates and verifying material lists is enough to freeze a coordinator’s phone. Messages flood team chat groups so rapidly that critical exception reports vanish instantly beneath the noise—and finding a single site photo means scrolling endlessly through chat history.
Second: Inconsistent Standards
What worries chain clients most? “One store, one look”—or rather, the opposite: “Every store looks different.”
In City A, technicians follow blueprints to the letter when routing pipes; in City B, they rely on “old-school experience” and reroute pipes without authorization. Individually, none of these actions seem complex—but ensuring consistency across dozens of projects, every time, is extremely difficult.
Third: Loss of Schedule Control
Opening dates are non-negotiable deadlines. If materials stall at any node—or if a process requires rework—the entire project’s delivery rhythm derails instantly.
Under this high-pressure environment, customers’ demands are actually quite simple: visibility, trustworthiness, and controllability.
But reality is stark: standardized service is hard to scale—a chronic problem across the entire delivery industry.
One person’s craftsmanship cannot rescue dozens of concurrent projects. Relying on manual supervision or shouting across job sites inevitably leads to an exhausting, unsustainable battle.
Once operational scale increases, traditional collaboration models immediately hit their ceiling.
Unless experience is systematically captured, it remains forever just individual craftsmanship.
So how do we break out of this impasse? We need a new fulcrum—to transform personal expertise into organizational systems.
Using Lark to Institutionalize Experience
We chose Lark as our breakthrough fulcrum.
Not because it’s flashy—but because it truly accommodates our business logic.
Step one: transferring the installation workflows stored in veteran technicians’ heads into Lark Multi-dimensional Tables.
From initial site survey and material inventory checks to pipe routing and equipment commissioning, all key processes and acceptance criteria were broken down into structured fields.
Even subtle details only seasoned technicians know—like “anti-rust paint must be applied after tightening screws”—were turned into mandatory validation items.
Know-how once memorized mentally or scribbled in notebooks is now clear, row-by-row entries in multi-dimensional tables.
Wherever a project stands—and which node is stuck—becomes instantly visible with a single table glance.
But tables alone aren’t enough. Static data can’t respond to urgent needs—information must flow.
That’s where Lark Instant Messaging steps in.
When a process is completed or materials need replenishment, I manually send a task card into the group chat—the content pulled directly from the multi-dimensional table, ensuring information consistency and unambiguous action items.
Frontline installation technicians often wear thick gloves and have oil-stained hands; they simply don’t have time—or bandwidth—to learn complex backend systems.
They only need to tap the card in the chat to know exactly what to do.
Go to the second-floor server room to connect wiring? Or head to the warehouse to pick up two valves? The card spells it out clearly.
After completing a task, the technician replies “Completed” in the group chat—and I or a collaborator updates the corresponding status in the multi-dimensional table, closing the information loop.
This card-based interaction built atop group chats reduces system learning costs to the absolute minimum.
No app switching. No menu hunting. Communication *is* collaboration; messages *are* tasks.
None of these individual actions is complicated—but synchronizing dozens of concurrent projects is.
The best management doesn’t mean watching people—it means letting processes guide them.
When personal experience is decomposed into standardized actions, and tacit skills are codified into explicit workflows, Lark ceases to be merely a communication tool.
It becomes the “digital nervous system” of our delivery operations.
Tools are levers; business logic is the fulcrum.
Once foundational information flows smoothly, we began asking: Can we integrate a smarter “external brain” into this system?
Amplifying Business Value Through Intelligent Ecosystem Integration
Lark’s open ecosystem gave us the answer.
We integrated a third-party intelligent workflow Agent—inviting it directly into our Lark project groups.
Previously, project managers spent each day “scrolling up” dozens of group chats, terrified of missing critical customer complaints or schedule delays. Now, we consolidate all key project milestones and risk signals into Lark Multi-dimensional Tables—and proactively push alerts via group messages, keeping information focused and responses timely.
Simply using natural-language conversation within the group chat, AI-powered office tools assist in organizing progress, identifying risks, and generating closed-loop to-do items.
Open the card: Where’s the bottleneck? Who needs to step in? It’s all crystal clear.
Yet there’s a core insight here: AI isn’t magic you can use right out of the box—it’s an apprentice that must be “fed” with real business experience.
Generic instructions yield only generic, correct-but-useless responses.
The true game-changer is transforming our years of accumulated delivery Know-how into its “brain.”
Which nodes commonly face delays? Which customer complaints require response within one hour? Which material shortages will cause immediate work stoppage?
We converted these implicit insights into rules intelligible to the intelligent workflow Agent.
Once integrated into Lark, we manually cross-reference frequently appearing keywords in group chats—such as “out-of-stock,” “rework,” or “overdue”—against node statuses in the multi-dimensional table, helping identify potential risks early.
Tools are levers; Know-how is the fulcrum.
Without Lark’s ecosystem foundation, experience remains trapped in senior employees’ minds—and vanishes when they leave.
Without frontline business logic, even the smartest AI fails to take root, remaining little more than a conversational toy.
When these two elements converge inside Lark, chemistry happens.
Wherever a project is, the entire process leaves a trace; the moment a risk emerges, the system sounds the alarm ahead of time; and upon completion, a post-mortem summary is automatically generated.
Individually, none of these components is complex—but achieving synchronized progress across dozens of concurrent projects is.
The customer experience has changed: faster response times, more stable deliveries.
The best service makes customers feel you “understand them.”
When individual craftsmanship becomes organizational productivity—and cold tools acquire business warmth—trust naturally follows.
From Individual Craftsmanship to Organizational Productivity
One person may run fast—but a group runs farther.
After validating this Lark-based approach on several core projects, I began tackling a more practical question: How do we get the entire company onboard?
I didn’t draft lengthy PowerPoint presentations. Instead, I did something far simpler: launched training sessions and wrote documentation.
All the pitfalls we’d encountered, all SOPs we’d refined, and all lessons learned integrating various intelligent workflow Agents were fully documented in Lark Docs—building a vibrant, living business knowledge base.
Using Lark Calendar, I scheduled online sharing sessions; during video meetings, I demonstrated real-world operations for colleagues nationwide—and afterward, uploaded recordings and presentation decks directly into instant messaging groups.
No advanced technical barriers—just tangible, accessible, and learnable business scenarios.
Gradually, change took hold.
New hires no longer flounder aimlessly; opening the documentation tells them exactly what to do first. Veteran staff no longer operate in silos; valuable practices shared in the group chat spark immediate, widespread adoption and replication.
Individual craftsmanship has finally become organizational muscle memory.
Looking back, many enterprises’ AI transformations fail due to “grand narratives.”
Decision-makers sketch perfect blueprints in conference rooms—while overlooking the messy reality of frontline staff struggling in the trenches.
In truth, organizational AI transformation need not begin with expensive, top-down strategies.
It can—and often should—begin with a small, pragmatic experiment by a frontline employee solving a concrete pain point.
Tools are levers; business Know-how is the fulcrum.
If you, too, want your company’s AI initiatives to move beyond slogans, my advice is simple:
Go to the front lines of your business—and find the person who understands customers best and is most willing to experiment.
Give them an open, inclusive ecosystem foundation like Lark—and let them try, connect, and create.
When technology truly touches the soil of business—and carries the warmth of human insight—productivity will naturally emerge. Leading teams adopt Lark first.