AI Engagement Risk Monitoring Agent

How Cassidy automates using AI

Step 1: Trigger on engagement event

The Workflow activates when a new opportunity is created, scope changes, or a scheduled continuance review is due—pulling context from your intake system, CRM, or calendar.

Step 2: Run acceptance and due diligence checks

Cassidy executes KYC/AML screening, sanctions and PEP checks, conflicts of interest searches, and independence assessments against your restricted lists and applicable rulesets (SEC, PCAOB, IESBA, FRC), then generates a risk score against firm appetite.

Step 3: Ingest and analyze continuous controls data

The agent connects to your systems of record—independence, HR attestations, travel and expense, time and billing, DLP/SIEM, and third-party risk platforms—running automated tests for SoD breaches, policy violations, SOW adherence, and data egress anomalies.

Step 4: Classify and route alerts

Exceptions are enriched with context, scored by severity and materiality, and dynamically routed: low-risk items auto-approve, medium alerts go to engagement leadership, and high-risk cases escalate to LoD2 specialists or risk committees.

Step 5: Manage cases and document remediation

Cassidy creates standardized case records with root-cause analysis, remediation plans, owners, and target dates—tracking corrective actions through verification and closure with full evidence lineage.

Step 6: Generate dashboards and reports

Risk leaders receive executive dashboards with trend analyses, heat maps by region and service line, KRI/KCI performance, breach aging, and engagement watchlists—exportable for internal audit sampling and regulatory reporting.

Step 7: Feed the learning loop

Reviewer decisions and RCA findings continuously tune alert thresholds, suppress benign patterns, and refine risk models—while regulatory change feeds trigger policy and control updates automatically.