What Is Communications Supervision?
Communications supervision is the process of monitoring, reviewing, and escalating business communications to detect policy violations, identify conduct risks, and meet regulatory requirements. It evaluates communications across channels, applies monitoring policies, and routes items through structured review and escalation workflows. Within the Arctera Unified Platform, supervision enables compliance teams to prioritize high-risk activity and maintain consistent coverage across systems while supporting requirements from regulators including the SEC, FINRA, FCA, and MiFID II.
How Arctera Supervise Works
Supervise evaluates communications as they are ingested, applies monitoring rules, and routes items through structured review and escalation workflows using shared data from capture and classification.
How Archive Works |
Business Impact |
Reduce false positives and focus on real risk
Reduce review noise by up to 95%, allowing teams to focus on high-risk communications. Supervise filters low-risk content before review using classification signals, policy logic, and relevance thresholds.
Improve supervisory efficiency and reviewer coverage
Increase review efficiency by prioritizing high-risk items and reducing manual triage. Supervise routes communications through structured workflows and provides context for review decisions.
Standardize surveillance across channels and languages
Apply supervision consistently across email, chat, voice, video, and multilingual communications. Supervise uses a unified policy and classification model across all sources.
Enable coordinated review and escalation workflows
Provide structured workflows across compliance and supervisory teams. Supervise routes items by department and role and maintains visibility into review status and escalation activity.
How Communications Supervision Works Across Channels
Arctera Supervise evaluates communications across email, chat, voice, video, and collaboration platforms using a unified surveillance model. Policies, lexicons, and classification signals are applied consistently across all sources, enabling uniform detection and review workflows. Voice and video are transcribed into searchable content and can be reviewed in-language or translated as needed. Detection combines rule-based logic, classification outputs, and relevance scoring to identify risk without relying on channel-specific monitoring tools or duplicated policy frameworks.