AI Is Smart—So Why Can’t It Enter Real Enterprise Workflows?
At last week’s Lark Ecosystem Exchange event, I held up a Lark octopus plushie as a microphone and spoke with dozens of enterprise IT leaders about today’s “AI anxiety.” Having spent years navigating the collaborative office space, I know all too well that frustrating feeling: watching AI soar everywhere outside your company while struggling to make it work inside.
Today’s AI is indeed intelligent—but the moment it dives into real enterprise workflows, it often falters immediately. Breaking this down reveals three painful truths:
An AI that doesn’t understand your business is, at best, just an advanced chat box. Ask it, “Why did gross margin decline in the East China region last quarter?” and it spits out generic macro commentary—completely unaware of which system, or even which table, holds your actual financial data.
Individual experience remains isolated—never growing into organizational muscle memory. A frontline sales rep casually shares an ice-breaking script in an instant message—and moments later, it vanishes into the feed. New hires must still grope their way forward through trial and error.
Data security concerns leave enterprises too afraid to adopt AI at all. Feeding core business data into external AI-powered office tools? That’s no different from running naked in the data wilds.
This brings us to the core belief our team has relentlessly pursued: Context Is All You Need.
Without nourishment from real enterprise data, even the smartest intelligent work agent cannot untangle concrete business knots. AI must “drink” the living context flowing within your organization to truly understand you.
So how do we connect and interpret the tacit knowledge scattered across Lark Docs, Calendar, video meetings, and Multidimensional Tables? This is precisely the “context cipher” Lark—the collaborative foundation—aims to unlock for everyone.
Connecting & Understanding: Turning Tacit Knowledge into AI’s Business Compass
An enterprise’s most valuable asset is rarely its cold, structured database housed in the server room—it’s the “tacit knowledge” dispersed across countless corners.
A seasoned sales rep’s offhand tip in instant messages, a product manager’s meticulous annotations in a Doc, or a project manager’s resource scheduling insights captured in a Multidimensional Table—these details naturally sedimented through daily collaboration are, in fact, the enterprise’s true business compass.
An AI without context is like a first-day intern: sharp-minded but clueless about internal jargon.
Once third-party AI-powered office tools integrate via the Lark Open Platform, they can—in strict compliance with user authorization—securely read documents, tables, and calendar entries the user is permitted to access, using them as reference material when executing tasks.
For example, if you @-mention an integrated AI office tool in a group chat and type “Check progress on S-level projects,” it can, within your authorized scope, call the Lark Multidimensional Table API to retrieve relevant data—provided the project is properly tagged and permissions are open. Only after grasping internal logic does AI truly step into real business workflows.
It’s precisely this context-rich blood flowing through the collaborative foundation that transforms AI from a “general encyclopedia” into a seasoned business veteran.
Yet “understanding data” alone falls far short. A competent digital employee shouldn’t merely sit quietly answering questions—it must know *whom* to loop in at *which stage*, and *what* approval to trigger in *which scenario*.
With business context in hand, how should AI integrate into the organization’s digital workspace—and collaborate alongside people in real time?
Collaborating Side-by-Side: Embedding Intelligent Agents into the Organization’s Digital Workspace
Anyone who’s led complex projects knows the daily grind: either hunting for documents—or waiting for approvals. People chase information; mental energy drains away.
The root cause? Tools remain fragmented. Chat lives in one interface, meetings in another, approvals yet elsewhere. Information scatters across silos—and friction in collaboration is born.
True collaboration shouldn’t force people to adapt to tools—tools must adapt to people’s workflows.
Within Lark’s ecosystem, instant messaging, Docs, Calendar, video meetings, and approvals all exist natively within a unified environment. This provides intelligent work agents with the perfect “digital workspace.”
A competent AI office tool should never be just a standalone chat box tucked away in a sidebar. Instead, it should join your organization like a real new hire.
When you align on project progress, it listens silently in the group chat. During video meetings, it helps distill key takeaways. When initiating approvals, it automatically surfaces related background context. It collaborates alongside you—converging fragmented information into closed loops.
It’s not cold, automated system routing—it’s people smoothly advancing work within context. For instance, right after a meeting, you simply ask AI in the group chat to create a to-do item. While drafting a proposal, you directly summon a third-party AI assistant to polish a paragraph. No disruptive window-switching. No jarring pop-ups.
When intelligent agents fully embed into the digital workspace, they cease to be add-on plugins—and become teammates standing shoulder-to-shoulder with you.
Working side-by-side every day sparks countless flashes of insight. If those breakthroughs sink into chat history and vanish, it’s a tremendous loss. So how do we turn frontline flashes of insight into organizational muscle memory?
Reusing Experience: Transforming Frontline Insights into Organizational Muscle Memory
Top-performing salespeople often develop their own “secret playbook.” Yet historically, those tactics lived only in the star rep’s head—or were scattered across private chats and fragmented personal notes.
To pass on such experience, teams relied on layered reporting, PowerPoint summaries, and all-hands sharing sessions. By the time that “playbook” finally formalized into standardized guidance, battlefield conditions had long since shifted. The lag in experience transfer is enterprises’ greatest hidden waste.
Now, leveraging Lark’s video meeting and Docs capabilities, this knot has been untied.
After winning a tough deal, frontline teams can instantly hold a debrief session. Lark video meetings support cloud recording and real-time subtitles—and Lark Miaoji (Smart Notes) automatically generates meeting minutes. You can export those minutes and feed them to an integrated third-party AI office tool for further distillation into actionable documentation.
It’s not about forcing systems to rigidly summarize—it’s about empowering people to refine knowledge effortlessly, right within context.
Tacit knowledge previously dormant in communication records becomes connected, understood, and compressed—evolving into a business compass accessible and reusable by everyone. One person’s flash of insight instantly becomes the entire organization’s muscle memory.
When experience reuse flows seamlessly, organizational evolution accelerates exponentially.
But the faster knowledge circulates, the more people inevitably wonder: Are core customer data and proprietary deal-winning strategies truly safe, now that they’re so openly deposited in the system? Even the most capable, fastest-moving AI must have security as its bedrock.
Upholding the Security Baseline: Returning Saved Time to Real Life
What keeps executives and frontline business leaders awake at night? “Data nakedness.”
AI that chatters freely outside the enterprise must learn the rules once inside. An intelligent work agent that doesn’t obey those rules is nothing more than a leak-prone chat box.
The first principle of enterprise-grade applications is always trustworthiness.
On Lark’s collaborative foundation, security is never an after-the-fact patch—it’s embedded in the very DNA of the architecture.
Whether Docs, Multidimensional Tables, instant messages, or approval workflows—all permission boundaries remain clearly visible. When third-party AI assistants or intelligent agents access business context, they must strictly adhere to existing organizational structures and permission controls. Who can view, edit, or invoke—every layer operates under rigorous compliance and full auditability.
Think of it as issuing each digital employee a badge with built-in access control: No authorization means no access to confidential data—period.
Only when the fear of “daring not to use” dissipates can people truly innovate with confidence.
In truth, the immense effort invested in integrating ecosystems and consolidating context was never intended to turn employees into tireless machines.
The purpose of tools is to return saved time to real life.
When tedious data entry, lengthy meeting minutes, and cross-departmental back-and-forth are competently handled by AI; when Lark Calendar no longer overflows with dense appointments—but instead leaves blank space for coffee, daydreaming, or family time…
That’s what intelligent collaboration should look like.
We hope everyone can harness the tools at hand—to make work more joyful, and life more从容.