AI assistant handles meeting scheduling, finds optimal times across attendees, sends invites, and manages rescheduling. Works with email and calendar systems.
1. Assistant receives meeting request via email/message 2. Checks executive's calendar for availability (5 min) 3. Emails attendees with 3-4 time options (5 min) 4. Waits for responses (1-2 days, multiple rounds) 5. Books confirmed time, sends calendar invites (5 min) 6. Handles conflicts and rescheduling (10 min per change) Total time: 25+ minutes per meeting + 1-2 days latency
1. Meeting request received 2. AI checks all attendees' calendars instantly 3. AI finds optimal time considering preferences, time zones 4. AI sends calendar invites automatically 5. AI handles confirmations and conflicts 6. AI reschedules if needed with notifications Total time: < 1 minute per meeting, same-day booking
Risk of scheduling conflicts if calendar access incomplete. May not account for soft preferences or informal commitments.
Require calendar access permissions from all attendeesAllow manual override and preferencesFlag unusual scheduling patterns for reviewRespect do-not-schedule blocks
Implementation typically costs $15,000-$40,000 depending on team size and integration complexity, with deployment taking 6-8 weeks. Most IT consultancies see full ROI within 4-6 months through reduced administrative overhead and improved billable hour utilization.
You'll need standardized calendar systems (Google Workspace, Office 365), established email protocols, and clear scheduling policies for client meetings. Integration works best when consultants already use shared calendars and have consistent availability patterns documented.
Clients typically appreciate faster response times and seamless scheduling, but some prefer human interaction for sensitive meetings. The main risk is over-automation - ensure the AI can escalate complex scheduling conflicts to human staff and maintains your consultancy's professional tone.
IT consultancies typically save 8-12 hours per consultant per week on scheduling tasks, translating to 15-20% more billable hours. This often generates $50,000-$80,000 additional annual revenue per senior consultant while reducing administrative costs by 30-40%.
The AI can coordinate across multiple time zones, find optimal slots for 10+ attendees, and automatically send calendar holds while confirming availability. For complex project kickoffs or technical reviews, it learns your consultancy's preferred meeting patterns and can suggest appropriate meeting lengths based on session type.
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1. Assistant receives meeting request via email/message 2. Checks executive's calendar for availability (5 min) 3. Emails attendees with 3-4 time options (5 min) 4. Waits for responses (1-2 days, multiple rounds) 5. Books confirmed time, sends calendar invites (5 min) 6. Handles conflicts and rescheduling (10 min per change) Total time: 25+ minutes per meeting + 1-2 days latency
1. Meeting request received 2. AI checks all attendees' calendars instantly 3. AI finds optimal time considering preferences, time zones 4. AI sends calendar invites automatically 5. AI handles confirmations and conflicts 6. AI reschedules if needed with notifications Total time: < 1 minute per meeting, same-day booking
Risk of scheduling conflicts if calendar access incomplete. May not account for soft preferences or informal commitments.
Klarna's AI implementation handled the equivalent workload of 700 full-time agents while reducing resolution time from 11 minutes to 2 minutes.
Octopus Energy's AI platform now handles 44% of customer inquiries, demonstrating how consultancies can deliver more value with optimized resource allocation.
Philippine BPO operations achieved 3.5x faster query resolution and 82% customer satisfaction scores, proving AI's impact on consultancy deliverables.
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