How teams use Taktile’s Agentic AML Solution to reduce false positives and streamline investigations

There’s a new energy behind AI transformation in AML.

Recent Federal Reserve research shows that AI-driven systems can achieve a 92% reduction in false positives compared to traditional methods. ****As confidence in AI grows, regulators are encouraging AI adoption in AML systems for the first time.

Now, the question is: how can we deploy agents that deliver value in practice, while ensuring every decision is compliant and audit-ready?

Taktile’s Agentic AML Solution is built for teams who want to unlock the benefits of AI without compromising compliance. With Taktile, teams quickly deploy pre-built agents to tackle specific tasks, configuring them to their exact business rules and risk appetite. To fully streamline workflows end-to-end, they activate our unified platform to easily orchestrate agents alongside data inputs, rule-based decision steps, and human reviewers.

From transaction monitoring to case management, agents and humans collaborate seamlessly to reduce false positives and resolve cases faster—while ensuring every decision is documented and under control.

In a traditional AML system, rules engines automate certain steps by applying fixed if/then logic to structured inputs: “If amount $X and country = Y, then flag.” But they cannot decide what to look up next when context is missing, or apply information that lives in unstructured sources like websites or PDFs.

Agents add an investigative layer on top of rules: they can autonomously gather new context, interpret it, make decisions, and explain the reasoning behind those decisions.

This means you can give an agent an open-ended question to answer like “Is this alert worth investigating?” without having to spell out every step.

Teams that deploy agents within AML systems typically see three main benefits:

With Taktile, compliance teams quickly deploy AI agents across the customer journey to reduce false positives, streamline investigations, and accelerate case resolution.

Innovative institutions like financial management platform Finom report a 75% reduction in false positives since using Taktile. "We don't have to waste resources on lower quality alerts," said Tom Bright, Transaction Risk Manager at Finom. "When I look at my dashboards, the improvement is undeniable. Taktile has been a huge part of that."

Here’s how humans collaborate with Taktile’s agents at every step of the AML lifecycle to make their workflows effortless and intelligent:

AML leaders know that AI transformation in this highly regulated domain isn’t about full automation. Even as agents develop in sophistication, they still need to work within a carefully designed infrastructure that guides and governs their decisions.

While agents autonomously tackle tasks like screening for false positives, they continue to operate in parallel with rule-based steps such as scoring transactions against a pre-determined threshold. Ideally, surrounding agent infrastructure also includes seamless integration with relevant data, an interface that surfaces cases to human reviewers, and clear audit trails for every decision made.

The importance of enabling this flow between humans, agents, data, and rules is why many financial institutions are choosing Taktile to deploy AI within their AML operations.

Our Agentic AML Solution gives teams everything they need to deploy agents with speed, confidence, and control:

With Taktile, agents handle time-consuming investigative tasks like screening sanctions lists, analyzing transaction patterns, and triaging low-risk alerts. Human analysts focus on what they do best: applying expertise to complex cases that require more nuanced judgment.

The result? Fewer false positives. Faster investigations. More crimes caught. And compliance teams that can finally work at the speed financial crime demands.

Q: What are AI agents in AML?

A: AI agents are autonomous systems that can handle investigative and analytical tasks like sanctions screening, adverse media research, and transaction pattern analysis. Unlike simple automation, agents can gather information from multiple sources, reason over what they find, and adapt their approach based on context—similar to how a human analyst would work.

Q: How do AI agents differ from traditional rule-based AML systems?

A: Traditional AML systems follow fixed rules and thresholds, which often generate excessive false positives. AI agents have the flexibility to analyze context, identify nuanced patterns, and make intelligent decisions about which alerts deserve human attention. This leads to dramatically fewer false positives while improving detection of real threats.

Q: Can AI agents make final AML decisions?

A: Because we understand what regulators look for in agentic systems, Taktile’s agents are designed with clear controls and audit-ready traceability built-in. You can configure agents to match your exact policies and risk appetite. For example: agents can automatically clear low-risk cases with full documentation, investigate and provide recommendations on medium-risk cases for human reviewers, or immediately flag high-risk cases for manual investigation.

Q: How do you ensure AI agent decisions are compliant and auditable?

A: Every agent action on Taktile is fully traceable. You always know which model was called, with which prompt, at which time, with which data, and what decision it made. This complete audit trail ensures compliance with regulatory requirements and can help your organization build trust in AI-enhanced AML operations over time.

Q: How long does it take to deploy AI agents for AML?

A: Taktile customers typically deploy AML agents in weeks using our pre-built, production-proven agent templates. Simply configure the agents to your requirements, and connect them to your existing data providers via our Data Marketplace.

Q: What happens when an agent isn't sure about a case?

A: Agents route uncertain cases to human analysts through Taktile's Case Manager, which presents all relevant data, agent findings, and recommendations in one place with a complete customer view. Via an integrated AI Co-pilot, analysts can “chat with a case” to surface the information they need to make confident decisions, and share feedback that shapes how agents handle similar cases over time.

Q: Do I have to invest in the entire Taktile platform, or can I start with agents?

A: Taktile is modular **by design, so you can adopt it in the way that fits your AML program.