Marketing Reporter
Creates marketing reports
Aggregate data, auto-create reports, surface insights
Marketing reporting is manual and scattered across tools (5-10 hours/week). This agentic workflow aggregates data from all marketing tools, builds interactive dashboards, auto-generates reports, surfaces anomalies, and recommends actions.
Agent Architecture
Sequential agents build and report.
Marketing Reporter
Creates marketing reports
Aggregator
Aggregates data
Builder
Builds dashboards
Reporter
Generates reports
Connect tools
Aggregate data
Build dashboard
Generate reports
Surface insights
Recommend actions
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AI using outdated data that no longer reflects current reality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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