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Today we're launching Frontline — an AI-native BPO built for banks drowning in alerts, backlogs, and regulatory pressure.
Frontline embeds Sphinx compliance analysts directly into the bank's workflow. Our analysts handle the judgment calls while Sphinx AI agents take care of the repetitive work. Instead of spending hours gathering evidence and copy-pasting across systems, analysts focus on the decisions that actually matter, reducing average case review times by more than 80%.
We give banks what they actually want in financial crime compliance: not another piece of software, and not another outsourced team that takes months to ramp up, but real outcomes within days.
Compliance was never just a software problem
For decades, financial crime compliance has relied on people.
Banks added better screening engines, better transaction monitoring systems, and better case management tools. But the actual work — reviewing alerts, gathering evidence, documenting decisions, filing SARs, and signing off on risk — still sat with human analysts.
Compliance headcount grew. Budgets grew even faster. And it still wasn't enough.
A mid-sized bank generates tens of thousands of alerts a year. Nearly all of them are false positives. Every single one still needs to be reviewed, documented, and dispositioned.
The industry's answer was outsourcing. BPOs improved economics, but the operating model barely changed. Analysts still worked the same queues, inside the same tooling, following the same static workflows. A year later, the process looked almost identical — just with more people involved.
Neither model is built for what compliance has actually become: a high-volume, high-stakes operation where every alert is a small judgment call.
The cost of getting it wrong isn't just regulatory — it's operational, financial, reputational, and in some cases existential. Onboarding the wrong customer, missing a SAR, failing to detect fraud, or letting illicit funds move through the system can trigger enforcement actions, banking partner issues, customer loss, and damage that outlasts any fine.
Software is eating services
The work that used to live inside professional services firms — legal review, accounting, compliance ops — is increasingly being delivered through a hybrid model.
AI agents handle the busy work. Human experts handle the judgment. Feedback flows both ways.
Frontline is what that model looks like inside financial crime operations. Banks don't need to figure out how to "deploy AI" internally. They hire a team. The AI is how that team operates dramatically more efficiently than a traditional BPO.
What makes Frontline different
Most outsourced compliance teams operate around fixed workflows and static tooling. Frontline works differently.
Sphinx analysts continuously refine the agents, workflows, and decision logic while working live cases. Every correction improves the system. Every escalation becomes training data. Every analyst decision raises the baseline for the next case.
It's a closed feedback loop between humans and agents. In practice, here's what that looks like:
- An analyst notices the AI agent disagrees with how a case was historically resolved. Instead of simply overriding the result, they investigate further, uncover an undocumented policy rule, update the SOP, retrain the agent, and validate the change against historical cases before deployment.
- The team identifies a recurring category of false positives being escalated manually, updates the workflow, retrains the agent on the pattern, and watches review time for that queue drop the next day.
Most institutions spend months or years trying to build these feedback loops internally. Frontline walks in with it on day one.
What this looks like in production
Frontline is live today with public US banks regulated by the OCC, FDIC, and Federal Reserve. We've helped teams:
- Reduce average case review time by 80%+
- Cut SAR filing times from 2h to under 10min
- Clear backlogs of thousands of cases in a day
- Increase STP rates across onboarding and investigations
And we do it on top of the systems banks already use today. No migration. No engineering lift on the bank's side.
Built for scrutiny
Financial crime compliance doesn't just need automation. It needs explainability, auditability, and governance.
Every decision made inside Frontline is traceable. Every disposition is documented in plain language. Every analyst override is logged and tied to versioned updates instead of ad hoc retraining.
Independent model review is currently underway with a compliance consultancy that has performed validation work for institutions including Citi, BofA, BNY, and Morgan Stanley, aligned with Federal Reserve and OCC model risk management guidance.
The practical implication: when an examiner asks how a decision was made six months ago, we can show the exact version of the agent that made it, the SOP it operated under, the evidence it reviewed, the analyst who approved it, and every subsequent update to the underlying logic.
Available now
Sphinx Frontline is live with banks today.
This is the new operating model for compliance: not pure software, and not pure outsourcing, but AI-native compliance teams, where humans and agents continuously learn from each other and operate as one system.
If you're a BSA Officer, Chief Compliance Officer, Head of Financial Crime, or COO trying to clear backlogs, accelerate investigations, reduce false positives, and scale operations without endlessly adding headcount, we'd love to show you what Frontline looks like inside your operation.
– Alex & Chris