Meeting Coordinator
Orchestrates multi-party meeting coordination
Coordinate multi-stakeholder meetings, sync calendars, send pre-meeting prep
Coordinating meetings with 5+ executives across multiple organizations is time-consuming, causing 1-2 week delays. Sales reps spend hours juggling calendars via email, sending multiple rounds of scheduling messages. This agentic workflow coordinates complex multi-stakeholder meetings automatically, checks availability across organizations, proposes optimal meeting times, sends professional invitations, manages reschedules, and delivers pre-meeting preparation materials. The system can book directly with executive assistants and integrate with calendar systems. Enterprises implementing AI meeting coordination see 50% reduction in scheduling time, 30% faster meeting cycles, and more professional coordination experience. Enterprise B2B sales, professional services, and financial services benefit most from streamlined multi-party coordination.
Agent Architecture
Sequential coordinators find times and manage meeting setup.
Meeting Coordinator
Orchestrates multi-party meeting coordination
Calendar Checker
Checks availability across all participants
Time Proposer
Proposes optimal meeting times
Meeting Inviter
Sends invitations and pre-meeting materials
Receive meeting request with participants
Check all participant calendars
Identify optimal time windows
Propose meeting times
Send invitations and prep materials
Handle reschedules
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AI using outdated data that no longer reflects current reality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.
Research accounts pre-call, identify decision-makers, map org charts, understand buyer priorities
Track competitors in real-time, auto-update battle cards, deliver sales intelligence to reps
Recommend relevant case studies and content based on buyer stage and pain points
Explore assistive AI tools that Sales teams use to augment these agentic workflows.
Running AI agents in your sales pipeline? Olakai tracks performance, costs, and ROI so you can scale what works.
Schedule a Demo