01 The Illusion of Prosperity: Digital Ruins in the App Directory
All green lights glow brightly in the backend—hundreds, even thousands, of third-party apps and intelligent work Agents lie dormant in the authorization list. IT administrators often have no way of knowing whether these apps have quietly accessed a document API—even once.
Open Lark’s admin console and navigate to the app integration directory: prosperity greets you at every turn. From business process orchestration to data analytics, from third-party AI assistants to various intelligent work Agents, nearly every niche has its corresponding integration solution. Enterprises seem able to assemble their digital transformation blueprint with just one click: “Authorize.”
But peel back this vibrant surface, and what lies beneath is mostly idle digital ruins.
▎ The Cliff Between Installation/Authorization Volume and Actual API Call Volume
Pulling a six-month API call log often reveals a counterintuitive phenomenon: a yawning chasm separates installation/authorization volume from actual API call volume.
The vast majority of apps fall silent immediately after an administrator clicks “Approve Integration.” They send zero notifications via Lark’s instant messaging, write zero rows of data into multi-dimensional tables, and create zero calendar events. Though the slogan “Everything Integrated” rings loudly, implementation on the ground amounts to an unspoken “Install and Walk Away.”
▎ Common-Sense Capabilities Left on the Shelf
Lark provides common-sense capabilities—including documents, approvals, video meetings, multi-dimensional tables, instant messaging, and calendar—and supports third-party app access to related APIs through its Open Platform.
Reality, however, is leaner. After integrating numerous third-party AI office tools, most accomplish only a superficial “handshake.” They treat Lark as a massive traffic portal, slapping on an “Integrated” badge for window dressing—without ever embedding deeply into real business scenarios. This isn’t a technical integration failure; it’s a failure of demand validation. Integrating for integration’s sake ultimately yields a pile of shell-based pseudo-requirements.
As the authorization list grows longer, system boundaries grow increasingly blurred. Few administrators meticulously review the scope of permissions requested by each third-party app before clicking “Authorize Integration.” When introducing an intelligent work Agent, even fewer pause to assess whether it might silently pull the company-wide organizational chart at 3 a.m. Who exactly holds the backdoor keys left open by those dormant digital ruins? That question remains unexamined—a blind spot no one investigates.
02 The Permission Black Hole: Third-Party AI Assistants Taking Control of Documents and Messages
Dormant zombie apps merely consume system resources. What’s truly dangerous are the “intelligent work Agents” that get called hundreds—or thousands—of times daily. These are no digital ruins; they’re high-throughput pumps actively siphoning business data.
▎ Security Guards Don’t Question Employees in Uniform
Enterprise security perimeters often operate under a misconception: that blocking external hackers guarantees system safety. It’s like a building’s security guard rigorously interrogating visitors while waving through “internal employees” wearing identical uniforms. In an open ecosystem, legitimately integrated third-party AI office tools are precisely such uniformed insiders. Once the authorization handshake completes, the original security boundary effectively vanishes.
▎ Induced “Global Read/Write” Permissions
To make third-party AI assistants appear sufficiently “intelligent,” they must deeply integrate with Lark’s common-sense capabilities: reading/writing document content, adding/deleting data in multi-dimensional tables, and sending instant messages or notifications on users’ behalf.
The trouble lies in how frequently developers deliberately abandon the principle of least privilege. Within Lark’s OAuth authorization pop-up, document permissions are tiered into three scopes: “My Documents,” “Documents in My Department,” and “All Company Documents”—each requiring explicit selection of read/write rights. Message permissions are divided into two categories: “My Messages” and “Messages in My Groups.” Administrators must thoughtfully select options based on actual business needs. Yet to prevent workflow bottlenecks, most users click “Agree” without hesitation.
Developers mask coarse-grained permission requests behind extreme convenience—effectively handing over the master key to corporate core assets to a black box whose source code remains invisible.
When a third-party AI assistant silently pulls business reports in the background, almost no one checks its API call logs. Expecting AI tools to possess built-in commercial ethics when ingesting data is unrealistic. Where, exactly, do those sensitive data elements—freely granted “global read/write” access—end up running naked? That question remains unresolved.
03 The Noise of the Ecosystem: Who Is Manufacturing Shell-Based Pseudo-Requirement Integrations?
▎ The flip side of prosperity is an ecosystem bubble inflated by low barriers to entry.
Flip through Lark’s app directory searching for a third-party AI assistant that genuinely boosts productivity—and you’ll easily be deceived by a false sense of abundance.
Sampling and dissecting a batch of so-called “deep integrations” listed there often yields frustrating results. Strip away the marketing rhetoric about “empowering business,” and most applications boil down to just two types: first, one-way notification pushers—scripts that simply relay external alerts into Lark’s instant messaging; second, clumsy form movers—scheduled tasks that dump data into multi-dimensional tables or documents.
Developers slap together a few public APIs using brute-force pass-through logic—and then proudly brand their creations “ecosystem apps.” This isn’t true integration; it’s little more than rudimentary API搬运 (API porting).
▎ Absence of Core Scenarios Turns Integrations into Peripheral Plug-ins.
Lark offers highly defensible common-sense capabilities—calendar, video meetings, approvals—yet these third-party apps rarely demonstrate deep coupling with such core scenarios.
The reason is simple: deep integration requires understanding business flows; shell integration only requires calling APIs. Most intelligent work Agents and AI office tools remain stuck in shallow waters—“reading documents” or “sending messages.” They cannot schedule meetings aligned with calendar availability, nor can they provide meaningful assistance at approval chokepoints. These apps resemble digital vines parasitizing foundational capabilities—absorbing traffic nutrients but bearing no business fruit.
▎ Bad Money Drives Out Good: Noise Drowns Out Real Needs.
When “piggybacking on the ecosystem” becomes a low-cost customer acquisition shortcut, the app directory risks devolving into a marketing racetrack. Developers who invest real effort—deeply connecting third-party AI assistants with Lark’s approvals and calendar systems to solve complex business pain points—may instead be buried beneath a flood of shoddily constructed shell apps. Users can’t find good tools; good tools can’t find users.
Once the open platform lowers its gatekeeping standards to accommodate marketing motives, the ecosystem’s signal-to-noise ratio plummets. As users scroll past those visually polished yet functionally hollow “pseudo-integrations” in the app marketplace, they can’t help but ask: Who issued admission licenses to these digital ruins? And who, ultimately, pays the price for this illusory prosperity?
04 The Undercurrent of Data: Compliance and Audit Blind Spots in Cross-System Data Flow
Issuing admission licenses marks only the beginning of emerging risks. If shell tools in the app directory merely waste attention, data flowing outside the perimeter quietly depletes enterprise digital assets.
▎ Beyond the City Gates, They Are No Longer Your Troops.
Within Lark’s domain, common-sense capabilities—including instant messaging, documents, approvals, and meeting minutes—form the lifeblood of enterprise operations. Once third-party AI assistants or intelligent work Agents obtain read permissions, this data begins flowing outward.
The problem? Security mechanisms governing system boundaries typically verify identity—but cannot track where data ultimately lands. An approval workflow containing core pricing information, once read by a third-party app via the approvals API, instantly exits Lark’s system boundary as structured data. Meanwhile, AI-generated meeting minutes produced by Lark video meetings (if enabled) are generated and stored exclusively within Lark, with raw meeting content never exposed externally. IT administrators can view API call logs in Lark’s admin console—including application ID, invoked API endpoint (e.g., /v1/docs/{doc_id}/content), timestamp, and response status—but logs omit semantic details like document titles or business classifications.
Whether such data gets fed into a third-party private model for fine-tuning—or gets stored in plain text within some obscure cloud vendor’s object storage—is often impossible to verify.
▎ The End of Audit Logs Is the Black Hole of Compliance.
This is the most lethal gap in cross-system data flow: audit capabilities stop precisely at the API call boundary, while third-party AI office tools’ secondary processing and external storage of data remain entirely opaque.
Enterprises believe they’re leveraging AI to boost efficiency—yet may unknowingly be donating core assets to train others’ industry-specific models for free. Once data crosses the perimeter, existing compliance controls lose all reach.
The prosperity of an open ecosystem sometimes rests upon hidden reefs of data sovereignty cession. When a confidential document is decomposed, vectorized, and even accidentally recalled by another tenant’s prompts on a third-party Agent’s server, a mere “Terms of Service” agreement clearly falls short of guaranteeing safety. Relying solely on API call records for IT audits proves woefully inadequate in such situations.
05 The Cost of Openness: From Wild Growth Toward Refined Governance
Lark’s open ecosystem has indeed dismantled system silos. Common-sense capabilities—including instant messaging, documents, multi-dimensional tables, calendar, video meetings, and approvals—are opened via APIs, enabling smooth integration for third-party apps and intelligent work Agents. The value of connectivity is undeniable—but its cost is often concealed beneath the convenience of “one-click authorization.”
▎ Permission Rationalization: From “Give Everything” to “Minimalist Granting”
Wild ecosystem growth must ultimately evolve toward refined governance.
When enterprises introduce third-party AI assistants, the default action is usually checking “Read All Documents” and “Access Full Directory.” Digitally speaking, that’s tantamount to rolling out the red carpet for thieves. True governance demands rigorous app admission protocols and a strict principle of least privilege—granting only the minimum permissions necessary to fulfill the immediate task—not hanging the entire database’s master key on the doorknob.
▎ Closing the Audit Loop: Making Data Flow Leave Fingerprints
An open platform must do more than act as a traffic funnel—it must serve as a compliance gatekeeper. For cross-system data flows—especially those involving external AI office tools—a data-exit audit mechanism must be established. Every read of a sensitive field, every vectorization of a meeting transcript, must leave an immutable fingerprint in the logs.
Ecosystem prosperity must not come at the expense of data sovereignty; connectivity dividends must never become a fig leaf for security disorder. Handing core business data to black-box models for a few elegant AI summaries is plainly an unwise bargain.
Mature enterprise decision-makers will not permit an untested third-party plugin—lacking rigorous security penetration testing—to take command of the company’s core knowledge repository. Amidst the tide of intelligent workplace adoption, enterprises must never stake their most critical data assets entirely on a user agreement thick with disclaimers.