Automate Work Anywhere, Even if APIs Don't Exist

Most enterprise work still lives in the browser.

Your teams log into portals, click through long flows, copy values from one tab to another, and re-enter the same data in different tools. APIs cover a slice of this, but there’s always a stubborn long tail of tasks that never make it into an integration roadmap.

Even if you already use AI agents, they usually stop right before the part where someone has to click through a web app.

Ema’s App Navigator closes that gap..

App Navigator gives Ema’s AI employees a secure browser and the ability to see, click, type, and navigate inside your web and enterprise applications—just like a person at a keyboard. When there’s no API or native integration, the agent can still finish the job on screen.

Why this matters right now

Across customers, we see the same three problems again and again.

1. The API wall: Many critical workflows sit behind portals that don’t expose APIs, or only expose a narrow slice of what people do day to day—HR portals, government sites, payer portals, vendor tools, and legacy apps. The work still happens; it just happens via clicks instead of calls.
2. Real-world workflow complexity: Production processes are not one or two neat API calls. They’re long chains of screens, conditions, and checks. A human knows that if a dropdown has a certain value, they follow path A; otherwise, they follow path B. Those rules rarely exist in a spec. They live in people’s heads and in tribal knowledge.
3. Application sprawl: Every year, new systems appear. Some get integrations, others don’t. Over time, you end up with a patchwork where a few steps are automated and the “last mile” stays manual and expensive.

General-purpose models from OpenAI and Anthropic are trained on the open web, making them excellent at navigating public sites. However, enterprise work doesn't happen on the open web—it happens behind firewalls in complex, customized apps like Workday and Salesforce. Generic agents lack this 'institutional knowledge'.

Ema’s App Navigator bridges this gap. Ema is trained specifically on enterprise app journeys, allowing it to create a structured map of your unique processes. This enables Ema to move beyond simple computer use to true enterprise automation, navigating your specific setups with the reasoning and precision of a trained employee, not a generic bot.

What App Navigator does for you?

At a simple level, App Navigator gives Ema’s AI employees a browser and the ability to act inside it.

With App Navigator, an agent can:

• Open a secure browser session and log into a web or enterprise app
• Follow a documented task flow across screens, tabs and pages
• Click, type, scroll, and select values in fields
• Read what is on the screen and decide the next step

Capture outputs and pass them into the rest of the workflow.

From your point of view, you describe the task. You can give written instructions, screenshots, or a short recording of someone walking through the process. The agent uses that context to repeat the task, run after run.

This allows Ema to handle high-value, complex use cases that others can't:

• App Configuration: Help service companies set-up complex apps like Workday and ServiceNow for their end customers. This process involves 200+ clicks and can’t be automated using APIs.
• Vendor Verification: Validating vendors against state and federal websites where no integration exists.
• SAP & ERP Management: Creating and updating records in SAP based on contracts, handling the "long chain" logic that RPA scripts struggle to maintain.

How does it work in practice?

App Navigator brings together three parts.

• Application level map: When you show the agent how a task works—through instructions, screenshots, or a short walkthrough—Ema converts that into an internal “visual spec” of the task. This gives the agent a stable mental model of the task, even as the UI shifts over time.
• Multi-modal reasoning: The underlying models see both the live browser screen and the task context. At each step, the model chooses which element to click, what to type, and how to verify the result. If the page layout shifts a little, the context still helps it stay on track.
• Secure, scalable browser infrastructure: All of this runs inside isolated browser sessions that we manage for you.

Ema automatically spins up and tears down headless browser environments across virtual machines, manages session lifecycles, and handles secrets and credentials according to your security requirements.

You configure this through Ema’s AI Employee Builder. You can add an “App Navigator” agent in your AI Employees and connect to other agents to build the entire end-to-end process. You never manage scripts - you define outcomes, and the agent figures out the clicks.

Why Ema’s App Navigator is different

There are other ways to automate browsers. You can write RPA scripts. You can experiment with generic computer-use tools. App Navigator takes a different path that matches how modern AI agents should work.

• Task and app understanding, not just pixel control: RPA scripts and basic browser tools often operate on low-level selectors or coordinates. App Navigator starts from task intent and application understanding. That context guides the agent’s choices on each screen and makes behavior more robust to layout changes, new labels, or extra fields.
• Part of an end to end agent, not a separate tool: App Navigator isn’t a separate tool that you bolt on. It’s one capability inside an Ema AI employee. The same agent can read an email or ticket, extract and validate key data, call APIs where they exist and write to systems. You get a single workflow, not a mesh of point solutions. .
• Designed for enterprise deployment from day one: App Navigator is built with enterprise constraints in mind: tenant isolation, concurrency controls, credential storage patterns, and deployment options that work with your security and infra teams. It’s designed to be something your CISO can sign off on, not just a lab experiment.
• Proven on real, high-stakes workflows: Ema's App Navigator comes from real customer scenarios where the browser path was hundreds of steps long and too fragile for traditional automation—like configuring Workday for new business processes or walking through detailed vendor checks across government portals. Those production flows shaped the product, not the other way around.

Conclusion

App Navigator is about taking the repetitive browser work your teams already do and handing it to AI employees you can trust.

Your portals, ERPs, and internal apps are not going away. What can change is who has to click through them.

Right now, many AI projects stall at the edge of systems. APIs cover part of the journey; people cover the rest. App Navigator closes that gap. Browser work becomes just another step in an automated flow, with the same control, review, and reporting as the rest of your stack.

If you’re investing in AI agents, this is the moment to decide whether they stop at the API layer—or actually finish the job.

Ema’s App Navigator is built to handle that last mile inside real enterprise applications, as part of an end-to-end Ema workflow, not as a one-off tool.

Bring us one browser-based workflow, and we’ll start there.