{"slug": "connecting-work-across-teams-with-agentic-apps", "title": "Connecting work across teams with agentic apps", "summary": "Builder's Agent-Native framework enables teams to create agentic apps that collaborate across departments, reducing a campaign timeline from ten weeks to one week. The framework allows each team to turn its expertise into an app that can request work from other teams' apps and combine results into a central campaign. In a hypothetical ecommerce example, the SEO team's workflow becomes an agentic app that handles research, responds to follow-up requests, and can even modify its own software through a code branch.", "body_md": "# Connecting work across teams with agentic apps\n\n[Agent-Native](/blog/topics/agent-native)\n\nIf you’re a marketer responsible for getting a campaign from idea to production, you have a long list to finish before anything launches. You need performance data, market and SEO research, a budget, messaging, creative, approvals, and a built experience.\n\nAI helps with pieces of that list. It can summarize reports, draft a brief, and suggest campaign ideas. But then it leaves you with the rest: finding the right data, moving results between tools and teams, checking the work, getting approvals, and turning a document into something customers can see.\n\nBuilder’s [Agent-Native framework](https://www.agent-native.com/) offers another way to run the workflow. Each team can turn their expertise into an agentic app for its part of the campaign. The apps can then ask one another for work and combine the results into a campaign the team can review and launch from one central place.\n\nTo see this in action, we’ll look at a hypothetical ecommerce company as it launches a graphic-tees campaign.\n\n## The goal: take a campaign from ten weeks to one\n\nIn our example, the existing process takes about ten weeks to move from an idea to a customer-facing experience. The connected, agent-native workflow is designed to bring that down to one week.\n\nMarket research, SEO, finance, marketing, design, and engineering still contribute their expertise, but now their work moves through one connected campaign instead of a series of separate handoffs.\n\nWe’ll trace that work through three stages:\n\n- One team turns its expertise into an agentic app.\n- That app works with apps owned by other teams.\n- The resulting campaign context carries through to working prototypes.\n\n## Turn an SEO workflow into an app\n\nLet’s start with the SEO team.\n\nSEO research often begins in a specialist tool such as Ahrefs. A few people on the team know which reports to run, how to read the data, and how to turn it into a useful recommendation. Everyone else has to ask them for help.\n\nOur SEO team has already made that work faster with a Claude project. But when someone outside the team opens it, they see a text box, a set of instructions, and a collection of Markdown files. The expertise is there, but it’s hard for a new user to know what to ask for or what the project can do.\n\nWe open the same SEO workflow as an agentic app. The team’s instructions and reference files are still behind it, but the user sees a clear interface instead of a blank chat box. The app asks for a product keyword and country, shows previous research, and makes the next action clear.\n\nWe enter “linen shirts.” The app starts the research, and an agent works behind the interface to create a structured report. Behind the interface, the agent still does the research. The fields and buttons show people what information to provide and what result to expect.\n\nThe interface also leaves room for follow-up requests. Once the report appears, we ask the agent to remove Amazon and Magic Linen from the competitor list and add a one-line summary. The document and interface update a moment later.\n\nButtons and fields handle common tasks, while conversation leaves room for requests that are more specific or unusual.\n\nThe SEO app can also work beyond its own screen. We ask it to find emails with a particular subject, turn them into research requests, and answer the questions. Because the company has already approved the email connection, each employee doesn’t have to configure a separate personal integration.\n\nThe audit log shows that the agent found the emails and completed the research, giving the user a record of what it did.\n\nFinally, we ask for a new “send reply” button. The app recognizes that this isn’t another SEO task; it’s a change to the software itself. It opens a code branch in Builder’s visual editor, where the change can follow the usual engineering review process.\n\nThe SEO team still owns the app and the expertise behind it. Other people get a clear way to use that expertise, while the team keeps visibility into agent activity and a review point for code changes.\n\n## Ask the organization for an outcome\n\nThe SEO app shows how one team can make its expertise easier for the rest of the company to use. The next step is connecting that app with the agentic apps owned by other teams.\n\nNow, imagine we’re the ecommerce company’s chief revenue officer, walking outside on a hot day and wondering whether graphic tees might make a good summer campaign.\n\nNormally, answering that question would mean starting several separate conversations: asking analytics about recent performance, asking another team to research the market, and then finding someone to pull the results into a campaign plan.\n\n**Instead, we ask the shared workspace: How are graphic tees performing lately?**\n\nWe don’t have to choose the analytics app ourselves or know which dashboard and filters the analytics team trusts. The workspace sees what the company’s apps can do and sends the question to the analytics app.Cross-app routing to analytics\n\nIn our example, the analytics app finds that sessions are down while orders, revenue, and conversion are up. In other words, graphic tees perform well when customers find them, but they aren’t getting enough attention.\n\nWith that answer, we can set a clear outcome: launch an August graphic-tees campaign called “Beat the Heat.”\n\nThe workspace sends that request to the marketing team’s campaign-planning app. The planner coordinates contributions from the other teams’ apps. It asks the apps owned by market research, SEO, finance, analytics, and brand to contribute their part, then brings those results into one campaign workspace.\n\n## Watch the campaign assemble itself\n\nWhen we open the campaign planner, the original request has become a campaign the team can review.\n\nMarket research has looked at relevant competitors. SEO has added keyword and opportunity research. Brand guidance and campaign messaging sit alongside a financial model. Each team’s app contributes its own expertise, while the campaign planner keeps the work together and organized around the same launch.Beat the Heat campaign planner\n\nThe financial model shows how this coordination works in practice.\n\nThe usual starting point might be a spreadsheet with instructions to make a copy, add a tab, find the right source data, enter the assumptions, and avoid breaking the formulas. The spreadsheet depends on someone knowing where every number belongs and completing each step correctly.\n\nHere, the campaign planner has already asked the analytics app for the graphic-tees baseline and found a similar past campaign for comparison. We can adjust the assumptions using familiar controls or ask the agent for a more specific change.\n\nWe ask it to find other campaigns related to tees, average their performance, and use that average as the new baseline. Without the app, someone would have to find several reports, copy values into the model, update the formulas, and record where the numbers came from. The agent carries out those steps directly in the model, while keeping the result and its supporting context visible for review.\n\n## Turn the campaign into working prototypes\n\nAt this point, the team has a campaign it can review. The research, SEO findings, financial assumptions, messaging, and campaign direction are all in one place.\n\nOnce the team is ready, we can use that same context to create what customers might see. From the campaign planner, we ask the app to [generate prototypes in Builder’s code editor](https://www.builder.io/blog/ai-prototyping).\n\n**We don’t have to start again with a blank prompt or copy the brief into another tool.** Builder receives the products, campaign brief, and decisions the other apps helped assemble.\n\nThe resulting “Beat the Heat Wave” concepts appear in the example storefront, alongside the relevant products. Because Builder works with the application’s code and CMS, the concepts are working prototypes in an environment closer to where the team would implement the final experience.Beat the Heat prototype in Builder Code\n\nThe full workflow now looks like this:\n\n- A specialist team puts its expertise into an agentic app that other people can use.\n- Someone asks the organization for an outcome without having to find and coordinate every expert themselves.\n- The apps ask the right teams’ apps for work and bring the results together in one campaign.\n- The team reviews the campaign, while Builder uses its context to produce working prototypes.\n\nThe team can review the working prototypes, choose a direction, and carry the approved experience through its normal production process.\n\n## What the connected workflow makes possible\n\nEach team can own an agentic app for the work it knows best. The app gives people a clear interface for requesting that work, while still supporting conversation when a request doesn’t fit a button or form. Its actions and results remain visible for review. And because the apps can ask one another for help, people don’t have to carry every result between teams and tools themselves.\n\nThe graphic-tees idea now moves through a connected workflow. We start with a simple question about product performance. The analytics, research, SEO, finance, brand, and campaign-planning apps contribute their parts. The team gets one campaign it can inspect, revise, approve, and launch. Builder uses that shared context to create working prototypes of the customer experience.\n\nThe team ends up with a campaign it can review and launch, plus working prototypes that help it decide what to build.\n\n**See what your workflow could look like as an agentic app.** [Explore the app catalog](https://www.agent-native.com/apps/) to find examples you can use, adapt, or build on with your team.", "url": "https://wpnews.pro/news/connecting-work-across-teams-with-agentic-apps", "canonical_source": "https://www.builder.io/blog/connecting-teams-agentic-apps", "published_at": "2026-08-26 15:43:24.822652+00:00", "updated_at": "2026-08-26 15:43:26.734342+00:00", "lang": "en", "topics": ["ai-agents", "ai-products", "ai-tools"], "entities": ["Builder", "Agent-Native framework", "Claude", "Ahrefs"], "alternates": {"html": "https://wpnews.pro/news/connecting-work-across-teams-with-agentic-apps", "markdown": "https://wpnews.pro/news/connecting-work-across-teams-with-agentic-apps.md", "text": "https://wpnews.pro/news/connecting-work-across-teams-with-agentic-apps.txt", "jsonld": "https://wpnews.pro/news/connecting-work-across-teams-with-agentic-apps.jsonld"}}