Customer Screening Agent Spend less time clearing noise, more time on true risk
Hawk's Customer Screening Agent compiles evidence on every hit generated, assesses its materiality against your policy, and hands analysts a fully triaged alert, so genuine customer risk reaches review faster.
The Problem Hits without true risk slow everyone down
Screening analysts spend most of their day dispositioning false positives.
of alerts are false positives, leaving prospective and current customers on hold
sunk per day, per junior analyst, on clearing false hits instead of real risk
of leaders struggle to retain staff with repetitive reviews and list staffing as their top concern
A New Standard Accelerate your customer review process
Stop making legitimate customers wait for you to clear false positives.
The Traditional Way
- Every hit that survives fuzzy matching still needs a full manual review, done one at a time
- Analysts spend the same amount of time re-verifying clear-cut false positives as they do genuine risks
- Reaching out to the customer is the fallback for ambiguous hits, adding friction and delay to a legitimate relationship
- Political exposure gets flagged indefinitely, even after it's lapsed
- Case notes are the only record of why a hit was cleared and are hard to defend months or years later
- Backlogs grow fastest when alert volume spikes, since throughput is capped by headcount
- High analyst turnover from chasing noise instead of real risk
The Agentic Way
- Clear-cut false positives cleared so only genuine risk reaches an analyst, if desired
- Materiality assessed against your policy before an analyst spends any time on the alert
- Evidence and existing documentation compiled moments after a hit is generated
- PEP status reassessed on an ongoing basis, so exposure that's lapsed doesn't get flagged forever
- Full audit trail, citation-backed and confidence-scored, ready to defend to a regulator or examiner years later
- Scales with volume, not headcount, so a spike in alerts doesn't automatically mean a spike in backlog
- Agent escalates instead of guessing when the evidence isn't conclusive, so analysts spend time on real judgment calls, not noise
Product Differentiators AI agents built for trust, not just efficiency
Get measurable results in weeks, not months, with an agent configured to the policies and procedures you already run; defensible to a regulator.
Focus on real risk with an agent that assesses hits' materiality. When the evidence doesn't support a confident call, it flags it for human review.
Avoid re-requesting documents and waiting on information already on file. Agent recommendations come with clear reasoning, confidence scores, sources, and a full audit trail.
MEET HAWK'S CUSOMER SCREENING AGENT Accelerate customer reviews at every stage of the relationship
Hawk makes agentic CDD a reality, providing you an agent that does the heavy lifting on customer reviews no matter where a customer is in the client lifecycle: onboarding, name change, list update, nationality change, or yearly review.
The Customer Screening Agent:
- Follows the workflow you configure with human-in-the-loop checkpoints, where desired
- Compiles evidence on every hit reviewed
- Assesses each hit's materiality against your policy
- Either clears false positives or hands analysts a fully triaged case that unlocks fast, informed decisions
- Escalates hits whenever the evidence isn't conclusive
- Fully explains every decision, logging rationale with a complete audit trail
- Allows you to interrogate the agent's reasoning and QA its reviews directly with a copilot chatbot
Automate every type of customer hit review
See how the agent's skill set takes a hit from flagged to resolved.
Politically Exposed Persons
Distinguishes an actual PEP from an unrelated namesake, and recognizes when someone's political exposure has lapsed instead of flagging it indefinitely. Materiality is assessed moments after the hit fires, so analysts get evidence for a fast, informed call.
Adverse Media
Reads the article and account context to separate a genuine reputational or financial-crime signal from noise. Accounts for coverage that's outdated, about someone else, or immaterial to the relationship.
Sanctions
Checks name and identifying details against sanctions lists with the same contextual read it applies everywhere else — surfacing beneficial-ownership and public-filing signals tied to the account rather than stopping at a flat name match.
Explains and Documents
Every recommendation (across PEPs, adverse media, and sanctions) comes with its reasoning, a confidence score, and source citations, logged with a full audit trail. The case file is already built by the time an analyst opens it, so review time goes to judgment, not to chasing paperwork or re-requesting information the customer's already provided.
Tailored Workflows Mirror your exact screening policies
No two institutions screen the same way, so the agent doesn't force you into one shape. It plugs into the systems, policies, and escalation logic you already run; configured to fit you, not the other way around.
- Offers both human-in-the-loop and straight-through processing
- Connects via API or MCP to your existing financial crime stack — no rip-and-replace
- Is model-agnostic, running on the LLMs you've already approved
- Allows you to adjust thresholds and escalation rules at any time
- Protects your data. It never leaves your VPC/tenant, is never pooled with other institutions, and nothing is closed, escalated, or reported without you
Agentic AI: A Practical Guide for Anti-Financial Crime and Compliance Leaders
How is agentic AI changing the way that financial crime and compliance teams work? Our latest whitepaper provides you with 50 pages of insight on the best use cases for agentic AI, covering:
- Improving investigations
- Enhancing system accuracy
- Optimizing workflows
Hawk’s Solution One piece of a larger AI-enabled screening solution
Reduce false positives from both ends of your alert queue. The agent works standalone, as an overlay on your existing screening system, or as one layer in Hawk's comprehensive screening solution:
- Fine-Grain Fuzzy Matching: Screen any payment field with custom weighting, rule by rule, and adjust matching logic or lists yourself, no IT ticket required
- AI False Positive Reduction: Prevent false positive hits from opening in the first place by deriving missing information like gender and entity type.
- Past Decision Recall: Once a hit is filtered or actioned, it stays resolved until the underlying entity or list data actually changes.
- Feedback Loop: Sharpen precision over time with every decision feeding back into rule and model tuning, so precision keeps improving.
Get started with Hawk's Agentic AI and clear your customer screening backlog
AWARDS & RECOGNITION Leading the industry forward
Learn how Hawk's AI-fueled technology is driving the future of AML & CFT, according to software analysts and industry experts.
Request a demo 2X More Threats Caught. 50% Less Effort.
Catch more risk. Investigate faster. Scale without adding headcount across AML, screening & fraud
Request a personalized demo with a Hawk product expert and see how Hawk's AI-powered platform for AML, screening, and fraud prevention can strengthen your financial crime and compliance program without a multi-year migration.
During the demo, you'll see:
- How Hawk helps you catch more true risk while cutting false positives across AML, screening, and fraud
- How Hawk's AI agents can automate alert investigations, and catch what your team never had the hours to find, backed by full governance and human-in-the-loop controls
- How explainable, compliance-ready AI holds up under your regulators' and model risk management scrutiny
- Why institutions, like yours, choose Hawk for fast time to value — live in month, not years, with models that deliver precision from day one
- The results you could expect at your scale, based on peer outcomes
Articles & Resources The latest from Hawk
Hawk Launches New AI Risk Screening Capabilities to Tackle False Positives
Hawk launches three new AI capabilities for risk screening, enabling financial institutions to prevent the creation of irrelevant hits and allow analysts to investigate alerts more efficiently.
Agentic AI for AML Investigations: Matching Analyst Accuracy and Identifying More True Positives
Can Agentic AI investigate AML alerts with the same rigor as an experienced analyst? When Alviere put the Hawk AML Investigative Agent to the test, the Agent escalated every confirmed true positive, cleared 98% of known false positives, and flagged other suspicious alerts.
Hawk Named Technology Standout in New Celent Adverse Media Screening Report
Hawk has been recognized as a Technology Standout in the latest Celent report, Know Your Customer Systems: Adverse Media Screening Solutionscape and Technology Capabilities Matrix, for its Customer Screening solution's breadth of functionality and technical sophistication.