Enterprise AI has a completion problem. It answers questions. Summarizes issues. Drafts responses. Classifies intent. Recommends the next step.

That's useful. But in customer experience, value isn't measured in suggestions. It's measured in outcomes; refunds issued, accounts verified, plans changed, records updated. And outcomes usually require action inside systems that were never designed for automation.

Today, we're changing that. Browser Agents are generally available. Over the beta, Browser Agents completed more than 16,800 tasks across enterprise customers at a 95% success rate and 96% in the last month alone. That's why we're calling it GA.

Browser Agents let Forethought's AI log in, navigate, click, type, and complete real tasks inside any browser-based system; the same way a trained support agent would. Whatever the path to the outcome looks like, the agent takes it.

Why this matters

Most companies don't run on clean APIs. They run on a mix of modern SaaS, legacy systems, acquired platforms, and internal tools that were never built to be automated. A large share of the systems that matter most to support still live behind browser interfaces.

That's why so much "automation" still stops short of the outcome.

The AI can tell you a refund should be issued. It can tell you an account should be verified. But if the actual task requires logging into a browser-based system and clicking through a sequence of steps, most platforms hand the work back to a human.

Browser Agents don't compete with APIs. They expand automation into the systems APIs never reached.

If a reliable API exists, use it; APIs are faster, more stable, and easier to govern. Browser Agents are the answer for the much more common reality where no API exists, the API is incomplete, the integration is blocked, or the workflow only lives in the UI.

Built for enterprise guardrails

If you're going to let AI take action, it has to operate inside a system designed for constraint, review, and accountability. That's the floor, not a feature.

Scoped execution. Every agent runs against a pre-approved policy and is restricted to allowlisted domains.

Credential security. Secrets are encrypted client-side with AES-256-GCM, tied to AWS KMS, and never sent to third-party LLMs.

Full auditability. Admins get run history, action logs, and session recordings for every execution.

Human-in-the-loop. Higher-risk steps can require human approval; e.g., auto-refund up to a threshold, escalate above it.

Network isolation. For internal infrastructure, we support AWS PrivateLink and IP allowlisting.

And let's be honest

Browser automation is powerful. It isn't magic.

It's slower than an API. If a site's interface shifts significantly, the policy needs to be updated and re-tested. That doesn't make Browser Agents the wrong tool; it makes them a specific tool for a specific job: delivering outcomes in systems where the browser is the interface of record.

The right mental model isn't "Browser Agents vs. APIs." It's: use APIs where APIs are the clean answer. Use Browser Agents where reality is messier than the architecture diagram.

That's how enterprises actually work.

From answers to outcomes

General availability means this is no longer a concept piece. It's ready to be operationalized.

The first phase of AI in customer experience was about better answers. The next phase is about reliable outcomes.

Not more suggestions. Not more copilots. Not more handoffs.

Outcomes.

That's what Browser Agents unlock. They let AI operate where enterprises actually operate: in real workflows, inside real systems, with real guardrails; and they get to the result, whatever the path looks like.

Ready to see Browser Agents in action? Talk to your Forethought team, or reach out to get started.