Financial Services

Regulatory volume rises every year. Your ops headcount doesn't.

Automatan agents automate the operational workflows that consume your team — onboarding, compliance checks, exception handling, reporting — with the governance controls financial services requires.

Purple finance technology scene with a laptop, rising charts, digital currency symbols, and coins
The cost of manual operations

What your ops team is losing today

Every manual workflow carries a measurable cost. These numbers are drawn from financial services operations teams before Automatan deployment.

$142K
per year, per team

Manual compliance checks

KYC refreshes, sanctions screening follow-ups, and exception processing — hours of analyst time spent on tasks that follow the same logic every time.

11 days
average client onboarding

Onboarding delays

Every day of onboarding friction delays revenue and risks the client relationship. Most of the delay is coordination, not decision-making.

$38K
per escalated exception

Error remediation

A single compliance exception that reaches regulatory attention triggers audit response, remediation labor, and management time that dwarfs the cost of prevention.

2.4 FTE
equivalent, per quarter

Reporting overhead

Analysts assembling recurring reports from multiple systems — pulling, reconciling, formatting, checking — work that adds no analytical value.

Most teams recover the full cost of Automatan within 90 days. We'll build your specific business case on the demo call.

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Industry workflows

What changes when agents handle the process

Financial services operations that teams automate first — with before and after for each.

KYC / AML

Client onboarding and KYC refresh

Agent collects documentation, runs initial screening against sanctions and PEP lists, flags exceptions, and routes completed packages to an analyst for final review.

Before5–7 days average onboarding. Analysts manually pull records, cross-reference lists, and chase missing documents.
AfterSame-day initial processing. Analyst review limited to flagged cases — 80% of files clear without manual intervention.
Client onboarding agent workflow screen showing sanctions screening and exception flagging
Regulatory

Regulatory reporting assembly

Agent pulls data from core banking and compliance systems, reconciles across sources, formats to regulatory specifications, and flags anomalies for analyst review before submission.

Before2–3 analysts working a full week each quarter. Manual reconciliation, formatting, and cross-checking.
AfterAutomated assembly with analyst review focused on flagged anomalies. Report draft ready in hours, not days.
Regulatory reporting agent workflow screen showing data reconciliation and template formatting
Risk & Fraud

Exception and alert triage

Agent classifies incoming alerts from transaction monitoring and sanctions screening, enriches genuine alerts with account context, and routes them to investigators — filtering out 85%+ false positives before a human touches them.

BeforeAnalysts manually review every alert. 85%+ are false positives. Genuine risk gets buried in noise.
AfterAgent pre-classifies and enriches. Investigators see only genuine alerts with full context attached.
Alert triage agent workflow screen showing risk classification and investigator routing

See these workflows running with your actual systems.

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How it fits

Automatan inside your existing stack

Agents operate between your systems and your workflows. No rip-and-replace — connects to what you already run.

Architecture diagram showing your systems (Core Banking, CRM, data providers, document store) connecting to Automatan agents, which route to your team for review, approval, and audit logging

Connects to your infrastructure

Pre-built connectors for core banking, compliance platforms, CRM, document management, and communication tools. Custom integrations through API and webhook support.

Operates within your governance

Agents inherit your approval hierarchies, data classification rules, and access controls. Every action is logged against your existing audit requirements.

Adapts as regulations change

When a process changes due to new regulatory guidance, your ops team updates the agent's instructions directly. No engineering tickets, no six-week change request cycle.

Built for regulated industries

Compliance, data governance, and audit readiness are foundational to Automatan — not add-ons. Your compliance and security teams will find the controls they expect already in place.

SOC 2 Type II
ISO 27001
GDPR
Data residency (US, EU, APAC)
AES-256 + TLS 1.3
SSO & SCIM
Regulatory-grade audit trail
Customer-managed keys
Visit the Trust Center →
Implementation

Live in weeks, not quarters

Every deployment starts in shadow mode. Your team validates every decision before any agent operates autonomously.

Weeks 1–2

Discovery and first agent

We map your priority workflow, configure the first agent, connect to your systems, and run in shadow mode alongside your existing process. No production impact — the agent observes and learns while your team works normally.

Weeks 3–4

Validation and go-live

Agent runs live with human-in-the-loop approval on every action. Your team validates accuracy, adjusts rules, and builds confidence. Nothing goes out the door without sign-off during this phase.

Month 2+

Autonomous operation and expansion

First agent runs autonomously with your defined guardrails. Team identifies next workflows to automate. Each additional agent follows the same shadow → validate → release pattern.

There is no big-bang launch. Every agent earns trust through a structured validation period before it operates independently.
Internal buy-in

What your CFO and compliance team will ask

These are the questions that come up in the budget conversation. Here are the answers.

What's the payback period?
Most teams recover the full cost of Automatan within 90 days. On the demo call, we'll build a custom business case using your actual workflow volumes and analyst costs — not generic benchmarks.
What happens if the AI makes a mistake in a regulated process?
Every agent operates within approval gates. No action in a compliance workflow executes without human sign-off until your team explicitly removes the guardrail. Every action is logged with full context — who triggered it, what data it accessed, and what it changed — for your audit trail.
How does this affect our existing compliance framework?
Automatan operates within your governance structure, not alongside it. Approval hierarchies, data classification, and access controls are inherited from your existing policies. Your compliance framework doesn't change — the agents follow it.
What's the implementation risk?
The first agent runs in shadow mode for two weeks — observing and learning alongside your existing process with zero production impact. Your team validates accuracy and approves go-live only when they're confident. There is no big-bang launch.
Do we need engineering resources?
IT reviews the integration architecture during onboarding — typically a half-day engagement. After that, ops team leads configure and modify agents directly. Ongoing changes don't require engineering, sprint cycles, or vendor dependency.
What if regulations change after deployment?
Agents are updated through plain-language instructions, not code. When a process changes due to new regulatory guidance, your ops team updates the agent directly — same day, no development queue, no vendor ticket.

Let's build the business case for your team

We'll walk through your specific workflows, estimate the operational savings, and give you a business case you can bring to leadership. 30 minutes, no commitment.

Typically responds within 4 hours