Compliance teams don't need a model that "reads documents." They need identity data extracted into a fixed schema, checked against policy, and escalated when the case is not safe to auto-clear.
Onboarding and periodic review still mean collecting IDs, proofs of address, corporate docs, and screening results—then someone re-keys fields and decides if the file is complete.
Policy is usually clear on paper and fuzzy in practice. Analysts disagree on edge cases. Evidence is scattered across email, a DMS, and a core system that only stores the final decision.
Regulators care about the path: what was collected, what was checked, who overrode what. A free-text chat log is not a control.
An agent system that runs a defined KYC/AML workflow: ingest documents, extract identity attributes into your schema, run deterministic policy and screening steps, and open a human case when confidence or a hard rule fails.
The model is bounded. It does not invent a risk rating from vibes. Risk scores and clear/fail outcomes come from rules and screening services you already trust—or that we wire in under your compliance sign-off.
Every step writes an audit record: source document, extracted fields, check results, reviewer actions, and final disposition.
Sense: receive onboarding packs or periodic-review triggers; classify document types; pull prior customer data from the core system when allowed.
Reason: extract fields under schema validation; compare against required evidence lists by customer type; call screening/sanctions APIs; apply your escalation matrix.
Rock: update case status in the CRM or KYC platform; assign analyst tasks with context attached; retain logs for the retention period your policy requires.
Low-quality scans and multi-language IDs. Field confidence and dual entry on critical attributes (name, DOB, ID number) matter more than a pretty demo on clean samples.
Policy changes mid-year. Encoding requirements as versioned config—not only prompts—lets compliance review what changed.
Over-automation on high-risk segments. Some customer types must always hit a human; the system enforces that, it does not negotiate it.
It is a system that collects and extracts identity evidence, runs your KYC/AML checks, and routes exceptions to analysts—while recording an audit trail. The agent executes the workflow; compliance policy still defines pass, fail, and escalate.
Packaged KYC tools are strong when your process fits their product. We build when your policy, systems, or evidence types do not fit a standard product, or when you need orchestration across systems you already own. Often the right answer is both: use screening vendors, own the workflow around them.
Extraction targets a fixed schema. Invalid formats fail validation. Critical fields can require multi-source agreement or human confirmation. Nothing is marked complete without the evidence list your policy defines.
Yes. We integrate with the system of record for cases and customers. The agent is not a second CRM; it is the worker that fills and advances cases under your process.
Permissions by role, human checkpoints on high-risk paths, versioned policy rules, reproducible logs, and a rollback or re-open path when a case was closed incorrectly. A demo that only extracts one passport photo is not that.
Engineering services
KYC and AML compliance automation is the kind of workflow we build as an AI agent system: deterministic checks, human checkpoints, and an audit trail operators can trust. We start from your real process boundaries and ship software that holds up in production.
We build production-ready, highly observable agentic systems engineered for enterprise scale. No black boxes, no magic—just systematized workflows with systemic safeguards.
We don't build fragile wrappers. Complex decisions and exceptions are automatically routed to your team for approval, ensuring zero unverified actions in production.
Every AI-generated output is validated against deterministic, programmatic rules before execution, guaranteeing structural integrity and compliance.
Our architecture records every state change, agent reasoning step, and user interaction, providing complete observability into your automated workflows.
Built for enterprise scale. We optimize for high-throughput, low-latency execution using edge infrastructure and efficient state management.
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HR OperationsEnsure a structured onboarding experience with autonomous AI agents that provision accounts, route compliance documents, and guide new hires.