Brand Monitor
Monitors brand presence online
Monitor mentions, detect sentiment trends, alert on crises
Manual brand monitoring misses mentions and delays crisis detection. This agentic workflow monitors social media, reviews, and news for brand mentions, analyzes sentiment, detects crisis signals, and alerts team members immediately. The system learns to identify emerging issues before they escalate.
Agent Architecture
Sequential agents monitor and alert.
Brand Monitor
Monitors brand presence online
Mention Collector
Collects mentions
Sentiment Analyzer
Analyzes sentiment
Alerter
Sends alerts
Monitor social/web
Detect mentions
Analyze sentiment
Identify trends
Alert on crises
Track resolution
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
AI generating false or fabricated information presented as fact
AI using outdated data that no longer reflects current reality
Inability to verify or cite the original sources of AI-generated information
Lack of proper consent for recording, storing, or processing user interactions
Risks associated with external vendors processing sensitive data
These risks should be mitigated through proper governance controls and operational procedures.
Curate target accounts using intent, personalize at scale, coordinate multi-channel outreach
Generate ad variations, run tests, scale winners
Track journeys across channels, attribute revenue to touchpoints, calculate ROI
Explore assistive AI tools that Marketing teams use to augment these agentic workflows.
Scaling AI across marketing? Olakai measures the business impact of every AI agent and tool your team deploys.
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