AI agents that run the work – with your team in control
Fortify agents don’t sit beside your workflows as a chatbot or scoring layer. They operate inside AML and fraud processes – gathering evidence, building investigations, tuning controls, preparing reports and surfacing the next best action – with every step governed, logged and reviewable.
Trusted by leaders in finance and technology
The system runs the operation. Your team runs the system.
AI in financial crime software is no longer enough on its own. Better scores, copilots and chat-based answers can help, but they still leave analysts to stitch the work together.
Fortify agents are built to execute inside the workflows your teams already use. They gather context, create investigations, identify patterns, recommend control changes and prepare evidence – so your people can focus on judgement, escalation and strategy.
You decide the level of autonomy. Agents can support analysts, work in parallel, or handle routine operational tasks within defined boundaries. Every action is timestamped, auditable and traceable back to the agent, the human reviewer or the collaborative workflow behind it.
AI that delivers work, not just recommendations
Embedded in the workflow
Agents use Fortify directly. They do not create a separate AI layer your team has to manage. Investigations, controls, evidence, cases and audit records stay in one operating system.
Governed by design
Your team sets the boundaries: what agents can do, what needs approval and where humans must stay in the loop. Every threshold, decision and action remains reviewable.
Tuned to financial crime work
Fortify agents come with AML, fraud, payments and data expertise as standard – then adapt to your institution, risk profile, workflows and preferred ways of working.
Governed agents for AML and fraud operations
AML and fraud teams face different pressures, but the operating challenge is the same: too much data, too many alerts, too much manual work and too little time between signal and action. Fortify agents help both teams move faster while preserving control.
AML agents for backlog clearance, rule coverage and audit readiness
Fortify AML agents help compliance teams investigate cases faster, improve monitoring coverage and keep evidence ready for review. They assemble case context, build investigation notebooks, analyse rule coverage, suggest tuning opportunities and record how AI supported each decision.
Build investigations from plain-English prompts
Pull together customer, transaction, alert and linked-entity context
Identify coverage gaps, duplicated rules and tuning opportunities
Preserve the evidence trail for QA, MLRO review and audit
Counter fraud agents for earlier detection and faster defence
Agents help teams spot emerging patterns, train models, tune rules and deploy responses before losses scale. They monitor more of the data, surface weak signals, recommend features or control changes and help teams turn new attack patterns into live defences in minutes.
Surface emerging fraud patterns across customers, payments, devices and cohorts
Train models and suggest features for new attack patterns
Recommend rule tuning, consolidation and replacement
Keep humans in control of what enters production
From signal to governed action
- 01
Connect to the workflow
Agents operate inside Fortify’s AML and fraud workflows, using the same data, controls, cases and audit trail as your team.
- 02
Gather context and build the work
Agents collect evidence, query data, assemble investigations, identify patterns and prepare recommendations.
- 03
Test the level of autonomy
Replay historical work in a sandbox to see what an agent would have recommended, which rules it would have designed and how those choices would have performed against real outcomes.
- 04
Review, approve or automate
Your team chooses where agents can answer, analyse, recommend or act – and where human approval is required.
- 05
Log every action
Every prompt, output, recommendation, approval and action is recorded for inspection, QA and audit.
Turn AI up gradually – workflow by workflow
Fortify does not ask teams to make a big-bang leap into autonomous AI. Each workflow can have its own interaction level, from simple assistance to governed execution. You decide whether an agent can only answer questions, query data, draft work, recommend action or operate inside defined boundaries.
Level
How it works
Assist
Agents answer questions, summarise context and draft outputs for human review.
Analyse
Agents query data, build notebooks, surface patterns and explain what they found.
Recommend
Agents propose rules, tune thresholds, prepare case decisions or suggest next steps, with approval before action.
Operate
Agents carry out defined routine work inside the boundaries your team sets.
See what AI would have done before you give it more autonomy
Teams should be able to build confidence in agentic workflows before changing live operations. Fortify can replay historical alerts, cases, rules and outcomes in a sandbox, showing how an agent would have analysed the data, what rule or model it might have proposed, and how that proposal would have performed against reality.
01. Backtest new logic
Test agent-designed rules or models against historical performance data
02. Benchmark against reality
Compare AI recommendations with the decisions your team actually made
03. Quantify the impact
Measure impact on false positives, detection rates, backlog movement and operational workload
04. Build the case for autonomy
Use evidence from replay before increasing the agent’s interaction level
Built for teams that need speed and defensibility
Works inside the product
Fortify agents are not bolted on. They use the same investigations, rules, models, cases and audit records your team already works with.
Designed for human judgement
Agents reduce operational drag, but your team remains accountable for escalations, filings, production controls and strategic decisions.
Auditable by default
Every agent action is logged with context, timing and ownership, so you can show what happened, why it happened and who approved it.
Practitioner-led
Fortify agents are built with deep AML, fraud, payments and data science expertise – not generic automation wrapped in financial crime language.
More capacity for the work that needs human judgement
Faster investigations
Earlier detection
Operational burden
Based on results from Fortify customer deployments
One modular system for fraud and AML, built around how teams actually work
Related articles
Regulatory guidance and industry context for financial crime professionals.
Put governed agents to work across AML and fraud
Use agents where they help most: clearing operational drag, surfacing patterns, tuning controls and preparing evidence – while your team keeps control of the decisions that matter.
