How AI Agent Collaboration Will Unlock Enterprise Influence
Most of what we name AI as we speak operates independently—particular person chatbots or copilots that assist a particular activity inside a single software. They activate whenever you immediate them, full the duty, after which anticipate what’s subsequent. Some dwell in acquainted apps, however don’t join throughout them. Others dwell in separate tabs totally, requiring new workflows and fixed context-switching.
A part of the problem is structural. Most workplaces nonetheless function inside some type of walled backyard—Microsoft, Google, or a set of level options. These ecosystems are invaluable, however they lure context inside their boundaries. And whereas newer AI instruments like ChatGPT provide superior capabilities, they typically introduce new silos of their very own, asking groups to alter how they work simply to entry the worth.
The end result? Most groups are caught within the messy center—studying new instruments whereas nonetheless working in previous techniques. Innovation occurs, however momentum stalls.
That is the place agentic AI is available in. The subsequent, extra transformative part of AI isn’t about switching instruments—it’s about orchestrating them. Brokers ought to act like conductors, coordinating context and motion throughout platforms so customers can keep in move and get worth from every software while not having to grasp each one.
What’s agentic AI?
At their easiest, AI brokers are software-based instruments that may motive, coordinate, and full duties with minimal oversight. They don’t simply reply—they act, pursuing particular targets based mostly on the context you give them. That means that you can shift from being the doer to the director, with brokers serving to to hold the work ahead.
As organizations start to discover agentic AI, most use instances as we speak deal with a single agent executing a single activity: rewriting content material, drafting emails, or summarizing conferences. These brokers sometimes run in isolation, restricted to 1 software, one interface, and one output.
And as everyone knows, work doesn’t occur in isolation. It’s multi-surface, cross-functional, and consistently in movement. That’s why agentic AI received’t attain its full potential till we cease pondering of brokers as remoted helpers and begin designing them as collaborators in an orchestrated ecosystem.
Your brokers (and apps) might want to work as a workforce
The long run isn’t one mega-agent that does all the things. It’s a system of specialised brokers that discuss to 1 one other, share context, and perform workflows collectively. One agent may floor buyer insights, one other may summarize analysis, and a 3rd may draft messaging—every constructing on the output of the final.
This isn’t about changing present tech, it’s about unlocking extra worth from it. For years, we’ve accepted sure limitations: instruments that don’t discuss to one another, customers hopping between tabs and studying new instruments, and workflows held along with guide glue. However agentic AI provides us the prospect to increase what’s attainable—not by beginning over, however by connecting what’s already there.
We’ll additionally see a shift in how the apps we use at work are designed. In the present day, each app is an island with its personal logic, UI, and distinctive friction factors. Within the agentic future, apps might be modular, interoperable, and agent-ready. Meaning exposing APIs, sharing context, and making it straightforward for brokers to set off actions or floor insights contained in the app, or wherever work is going on.
Think about a marketer getting ready for a product launch in Coda—their most well-liked AI workspace. They open a Coda web page titled “Launch Messaging Framework,” click on into the embedded agent panel, and feed the agent their objective: “Assist me generate marketing campaign messaging in English and Spanish based mostly on our targets, buyer suggestions, and present market positioning.”
All of this occurs inside the identical workspace—no tabs, no tool-hopping, no fragmented context—and is actioned from one single project, not a sequence of various prompts. The brokers collaborate behind the scenes whereas the marketer stays centered on what issues: reviewing, refining, and launching with velocity and confidence.
That is what agentic orchestration seems like: brokers and apps working collectively, within the background, and customers staying in move. Whether or not you’re planning a marketing campaign, resolving a assist challenge, or analyzing efficiency, your tech stack turns into a seamless system of execution—not only a assortment of instruments.
Laying the groundwork for agentic orchestration
To arrange for this shift, leaders and groups want to maneuver past occupied with one remoted activity agent and begin occupied with how their techniques and AI brokers work collectively. Listed here are a couple of beginning factors:
- Map your workflows, not simply your instruments. Have a look at the steps, folks, and platforms concerned in your workforce’s commonest work, and determine the place context will get misplaced or handoffs gradual issues down. These are superb locations to introduce linked brokers.
- Layer brokers—don’t exchange them. Chatbots and copilots will proceed to play necessary roles. The chance lies in combining them—orchestrating brokers to provide extra complicated, high-impact outcomes. Consider it like constructing with blocks, not ranging from scratch.
- Spend money on platforms which can be agent- and app-ready. Whether or not it’s your information base, CRM, or inner comms platform, your instruments ought to enable brokers to entry knowledge, set off actions, and transfer seamlessly throughout surfaces. Future workspaces might be fluid, not fastened.
At Grammarly, we’re designing for this future now—constructing modular, layered, and context-aware agentic experiences that may collaborate throughout your workforce’s instruments and surfaces. It’s not a few single agent doing all the things. It’s about an orchestrated system the place the fitting brokers present up on the proper time to maneuver work ahead.
– Ailian Gan, Director, Product Administration at Grammarly
