Sphinx acts like an analyst, Forest keeps it governed

At a card issuer, a screening alert comes in. An analyst opens the case, switches to the KYC tool, copies the name into the sanctions database, opens a tab to check the UBO on the register, another to search for adverse media, pastes it all back into a decision form, writes up the rationale. Twelve minutes for an alert that, nine times out of ten, was a namesake. And hundreds more like it are waiting in the queue.

That work, made of clicks, copy-paste, and tool-switching, is exactly what Sphinx set out to automate. Rather than replacing existing tools, Sphinx works inside them, taking the same actions an analyst would.

Sphinx builds browser-native AI analysts for compliance teams

Sphinx builds AI compliance analysts for banks and fintechs.

What sets Sphinx apart is their browser-native approach: their agents log into existing systems, click and type, like a real employee, with no integration or API. Where most compliance tools require weeks of technical wiring, Sphinx drops its agents on top of the stack as it is. They cover the full lifecycle: onboarding, screening, EDD, ongoing monitoring, alert resolution, all the way to drafting suspicious activity reports.

The figures they publish come from named clients:

• Equals Money automates 87% of its compliance reviews and clears cases 7.7 times faster.

• Wert is down to a median resolution of one minute thirty per case.

• Conduit cleared a six-month alert backlog in two days.

The through-line: fewer false positives, cases closed same-day, a team that absorbs growth without scaling in proportion.

With zero integration, a Sphinx agent gets the same reach and power as a human

Sphinx's "zero integration" removes the need for a traditional integration project. It also moves a question rather than settling it. An agent that logs into your systems and acts through the screen, exactly like an employee, by construction has the ability to do what an employee can do. Open a case, change a customer record, close an alert, write a decision.

An employee's access is bounded by a role, scoped permissions, and an audit trail. The same requirement holds, more strictly, for an agent operating at the same speed across thousands of files. Who decides what it can do alone and what has to escalate to a human? What data is it allowed to write to? And six months later, facing the regulator, who can reconstruct what it did, case by case, and why?

How Forest controls the data and actions a Sphinx agent can reach

Forest provides the governance layer around Sphinx's work. When a Sphinx agent acts on your core systems, it operates inside the frame a human operator would have: a role, precise permissions, and an audit trail. The agent sees only the fields its role allows, triggers only the actions it's permitted, and every move leaves a record-level trace, with the reasoning that produced it.

That changes the nature of the autonomy. A Sphinx agent can close an alert on its own as long as it stays within what your compliance team authorised: an obvious namesake, a profile below a certain risk threshold. Beyond that, the decision calls for human approval before anything moves in the system. The agent's speed is preserved where it's safe, and bounded where it isn't, according to rules your team sets itself rather than rules hard-coded by a vendor.

That's the direction Forest is heading, and one we already deploy with clients through partners like Sphinx: agents that do compliance work at machine speed, an infrastructure that guarantees they did it within the frame, and keeps the proof. Sphinx and Forest are working together on this model.

Sphinx works every case, Forest keeps the proof it stayed in scope

Sphinx enables compliance teams to process repetitive compliance work at greater speed and scale, on every case rather than a sample. But an agent acting in regulated systems at the rate of several hundred cases a day is also an agent that can be wrong at that speed, or step outside its scope without anyone seeing it. The more autonomous and fast an agent is, the more its guardrails and traceability become the real subject.

That's Forest's job: giving these agents a role, limits, and an auditable memory, exactly like a colleague. The agent does the work. The infrastructure guarantees it did so within the rules, decides what escalates to a human, and keeps what it takes to prove it to the regulator.

Get Sphinx and Forest running on your alert queue

If your analysts are losing their days to copy-paste across screening tools and portals, talk to Sphinx.

If you're evaluating compliance agents and your risk team keeps hitting the same question, "what does it have access to, and how do we prove it," book a Forest demo and show us the process you're trying to automate.

Forest is the operational infrastructure for regulated fintechs. Compliance, ops, and support teams work on your systems alongside your AI agents, under one permission model and one audit trail. On your own infrastructure. Learn more at forest.app.