Inferensys

Integration

AI Integration with Peek Pro and Outlook

A technical guide to automating guide and sales team scheduling by connecting Peek Pro bookings to Microsoft Outlook calendars using AI for conflict resolution, smart invites, and real-time availability updates.
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ARCHITECTURE AND ROLLOUT

Where AI Connects Peek Pro Bookings to Outlook Calendars

A technical blueprint for automating guide and sales team scheduling by syncing Peek Pro bookings with Microsoft Outlook, using AI to manage conflicts, statuses, and resource coordination.

The integration connects at two primary surfaces: the Peek Pro API for real-time booking and guide assignment data, and the Microsoft Graph API for calendar management. Core data objects include Peek Pro's Bookings, Resources (guides), and Activities, which map to Outlook's Calendar Events and Attendees. An AI orchestration layer sits between these systems, listening for webhook events from Peek Pro (e.g., booking.created, booking.updated, resource.assigned) and executing a sequence of tool calls to the Graph API to create, update, or cancel corresponding calendar events for the assigned guide and relevant sales or operations team members.

AI manages the nuanced logic that a simple sync cannot handle. It evaluates the booking payload—including activity duration, location, guide details, and customer notes—to intelligently format the Outlook event's subject, body, and location fields. More critically, it performs conflict resolution by checking the guide's existing Outlook calendar before creating an event, and can propose alternative times or escalate scheduling conflicts to a human dispatcher via a configured channel like Microsoft Teams. The agent also handles status synchronization, automatically marking Outlook events as tentative, confirmed, or cancelled based on the booking's payment status and Peek Pro's confirmation workflows.

For rollout, we recommend a phased approach: start with a read-only sync for a pilot group of guides to populate calendars without making changes, then progress to one-way creation of events from Peek Pro to Outlook, and finally enable two-way status updates. Governance is enforced through a central service account with delegated calendar permissions, maintaining a full audit log of all sync actions. This pattern eliminates manual double-entry, reduces overbooking errors, and gives guides a unified view of their day within the tools they already use, like Outlook Mobile.

ARCHITECTURE FOR CALENDAR AND RESOURCE AUTOMATION

Integration Touchpoints in Peek Pro and Outlook

Core Objects for Calendar Sync

AI integration begins with Peek Pro's core objects: Activities and Guides. Each Activity record defines the tour product, while Guides are assigned as resources. The integration maps these to Outlook calendars.

Key API Endpoints:

  • GET /activities to retrieve schedules and assigned guide IDs.
  • GET /guides to fetch guide contact details and default calendar settings.
  • POST /bookings webhook to trigger calendar creation upon a new reservation.

AI agents use this data to determine the correct Outlook calendar (e.g., a shared 'Guide Pool' calendar vs. an individual's calendar), check for conflicts using Microsoft Graph's /calendarView endpoint, and create events with all necessary details: customer name, activity title, meeting location, and special instructions pulled from the booking notes.

PEER-TO-PEER CALENDAR AUTOMATION

High-Value AI Scheduling Use Cases

Integrating Peek Pro with Microsoft Outlook creates a unified scheduling layer for tour operators. These AI-enhanced workflows automate the most manual, error-prone parts of coordinating guides, sales, and resources, turning calendar management from a daily chore into a background process.

01

Automated Guide Calendar Population

An AI agent monitors new Peek Pro bookings and automatically creates Outlook calendar events for assigned guides. It pulls activity details, location, and customer notes from Peek Pro, sets the correct event duration, and includes a deep link back to the booking. The agent can also block personal time based on guide-set preferences.

Batch -> Real-time
Scheduling cadence
02

Intelligent Sales Meeting Scheduling

For B2B or group sales inquiries captured in Peek Pro, an AI agent can access a sales rep's Outlook availability and propose meeting times directly within a follow-up email. Once a time is selected, it creates the Outlook event and updates the Peek Pro lead record with the meeting details, ensuring the sales pipeline stays synchronized.

5+ emails saved
Per meeting booked
03

Two-Way Availability Sync & Conflict Resolution

AI manages a bi-directional sync between guide Outlook calendars and Peek Pro availability. If a guide marks a personal appointment in Outlook, the AI automatically blocks that time in Peek Pro to prevent overbooking. For last-minute Peek Pro bookings, it checks for potential conflicts and can suggest alternative guides or initiate a swap workflow.

Zero double-books
Target outcome
04

Resource Booking & Calendar Coordination

Beyond people, this AI workflow schedules vehicles and equipment tracked in Peek Pro. When a booking requiring a van is confirmed, the AI checks the vehicle's 'calendar' (modeled in Outlook or a shared resource calendar), reserves it, and attaches the reservation details to both the guide's event and the Peek Pro booking notes.

1 sprint
To implement
05

Smart Meeting Invites for Customer Pre-Trips

For complex or premium tours, an AI agent can schedule a pre-trip video call. It analyzes the Peek Pro booking type and customer tier, determines if a call is warranted, finds a mutual time between the lead guide (via Outlook) and the customer, and sends a Microsoft Teams meeting invite through Outlook, enriching the customer experience automatically.

Same day
Invite delivery
06

Ops Alerting via Calendar Status Changes

AI monitors guide Outlook events for status changes like 'Declined' or 'Tentative'. If a guide declines an assigned tour event, the AI immediately triggers an alert in the operations Slack channel and initiates a re-assignment workflow within Peek Pro, ensuring the operations team is proactive rather than reactive to scheduling issues.

Minutes, not hours
Response time
PEER PRO + OUTLOOK INTEGRATION PATTERNS

Example AI-Enhanced Scheduling Workflows

These workflows illustrate how AI agents can automate the complex scheduling logic between Peek Pro's activity management and Microsoft Outlook's calendar system, reducing manual data entry and preventing double-booking errors.

Trigger: A new booking is confirmed in Peek Pro via its webhook (booking.created).

AI Agent Action:

  1. Context Retrieval: The agent calls the Peek Pro API to fetch the booking details: activity ID, start/end times, assigned guide(s), location, and customer notes.
  2. Conflict & Permission Check: The agent queries the Microsoft Graph API to check the assigned guide's Outlook calendar for existing appointments during the booking window. It also verifies the guide's working hours and preferred meeting settings.
  3. Event Creation & Enrichment: If the slot is clear, the agent creates a new Outlook calendar event. It uses an LLM to generate a structured event description from the Peek Pro data, including:
    • Customer name and party size
    • Activity title and meeting point
    • Peek Pro booking ID as a reference
    • Any special instructions or equipment notes
  4. System Update & Notification: The event is created with the guide as the attendee. The agent then makes a follow-up call to the Peek Pro API to update the booking record with the Outlook event ID, creating an audit trail. A confirmation is posted to the team's Slack channel.

Human Review Point: If a scheduling conflict is detected, the workflow pauses and sends an alert to the operations manager in Microsoft Teams with the conflict details and suggested alternative guides from the system.

SYNCING TOURS, GUIDES, AND CALENDARS

Implementation Architecture: Data Flow and Guardrails

A practical blueprint for connecting Peek Pro's booking engine to Microsoft Outlook calendars using AI to manage availability and prevent double-booking.

The integration architecture centers on Peek Pro's Booking and Resource APIs and Microsoft Graph's /calendar/events endpoint. A middleware service, typically deployed as a serverless function or container, listens for Peek Pro webhooks on key events: booking.created, booking.updated, booking.cancelled, and resource.availability_changed. For each event, the service calls the Peek Pro API to fetch the full booking object—including the assigned guide ID, activity details, start/end times, and customer notes—and the relevant resource record. The core AI logic acts as an orchestration layer, evaluating the payload to determine the correct calendar action (create, update, delete) and applying business rules, such as filtering for specific guide types or applying buffer times between tours.

The AI's primary role is to manage complexity and exceptions that static rules cannot handle. For example:

  • Conflict Resolution: When a new booking is made for a guide who has a tentative "Out of Office" block in Outlook, the AI can evaluate the booking's priority (e.g., a high-value private tour) and either automatically override the block with a notification or escalate to an operations manager.
  • Intelligent Invite Population: Instead of a generic event title, the AI drafts the Outlook meeting subject and body using data from the Peek Pro booking, such as "[Peek Pro] Rock Climbing Tour - Smith, Party of 6". It can also auto-populate the location field with the activity's address from Peek Pro and attach the customer's itinerary PDF as a calendar attachment.
  • Status Synchronization: If a guide marks a meeting as "Declined" or "Tentative" in Outlook, the AI agent can interpret this as a potential availability issue, trigger an alert in Peek Pro's operator dashboard, and suggest reassigning the booking to another available guide.

Governance and rollout require a phased approach. Start with a read-only sync for a pilot group of guides to build a baseline of calendar data. The next phase implements one-way writes from Peek Pro to Outlook, with all automated events clearly tagged (e.g., [AI-SYNC]) in the calendar description and a defined audit log tracking every sync attempt. A final human-in-the-loop approval step can be configured for specific high-risk scenarios, like bookings exceeding a certain value or involving unverified new guides, where the AI proposes the calendar action but requires a manager's approval in a Slack channel or Microsoft Teams before execution. This ensures the system enhances operational speed—turning manual calendar updates from a 15-minute daily task per guide into a background process—without creating unmanaged risk.

AI-ENHANCED CALENDAR ORCHESTRATION

Code and Payload Examples

Ingesting Booking Events

When a new booking is confirmed in Peek Pro, a webhook is sent to trigger an AI agent. The agent's first job is to parse the booking payload, extract key details like the guide ID, activity time, and customer contact, and then determine the appropriate calendar action. This initial processing step uses an LLM to interpret unstructured notes or special instructions attached to the booking, ensuring the calendar event is created with the correct context.

python
# Example: Webhook handler that validates and routes Peek Pro booking data
from flask import request, jsonify
import logging

@app.route('/webhook/peek-pro', methods=['POST'])
def handle_peek_webhook():
    data = request.json
    # Validate webhook signature (omitted for brevity)
    
    # Extract core fields for calendar orchestration
    booking_payload = {
        "booking_id": data.get('id'),
        "activity_title": data.get('product', {}).get('title'),
        "start_time_utc": data.get('start_time'),
        "guide_email": data.get('guide', {}).get('email'),
        "customer_email": data.get('customer', {}).get('email'),
        "notes": data.get('notes'),  # Unstructured field for LLM parsing
        "status": data.get('status')
    }
    
    # Route to AI agent for calendar decision logic
    calendar_action = ai_agent.determine_calendar_action(booking_payload)
    logging.info(f"Booking {booking_payload['booking_id']} triggered action: {calendar_action}")
    
    return jsonify({"status": "processing"}), 202
AI-ENHANCED CALENDAR AND RESOURCE COORDINATION

Realistic Time Savings and Operational Impact

This table illustrates the operational impact of integrating AI to manage calendar sync, meeting invites, and resource availability between Peek Pro and Microsoft Outlook.

WorkflowBefore AIAfter AIImplementation Notes

Guide Schedule Population

Manual copy/paste or CSV import, 15-30 min per guide weekly

Automated sync triggered by booking confirmation, <1 min

Uses Peek Pro webhooks and Microsoft Graph API; human review for exceptions

Sales Team Meeting Coordination

Email chains and manual calendar checks to find availability

AI suggests optimal times based on collective Outlook free/busy data

Integrates with Peek Pro's 'Staff' module; requires defined role permissions

Resource Booking Conflicts

Reactive discovery during tour setup, leading to last-minute changes

Proactive conflict detection and alerts at time of booking

Cross-references Peek Pro resource calendars with Outlook room/equipment bookings

Availability Status Updates

Guide calls or texts to update out-of-office or sick days

AI parses Outlook calendar events (e.g., 'OOO') to auto-update Peek Pro status

Natural language processing on Outlook event titles; can be overridden

Bulk Invite Management

Manually sending 20+ individual calendar invites for a large group booking

Automated generation and distribution of personalized Outlook invites

Leverages Peek Pro booking guest list; templates managed in AI layer

Change Communication

Operator manually emails all affected guides and sales reps for schedule changes

AI identifies impacted parties and sends automated Outlook calendar updates

Triggered by Peek Pro booking modifications; includes change reason in update

Reporting on Utilization

Weekly manual compilation from disparate calendars to assess guide/room use

Automated dashboard showing synchronized Peek Pro-Outlook utilization metrics

Data unified in a separate reporting layer; feeds into BI tools like Power BI

ARCHITECTING CONTROLLED DEPLOYMENT

Governance, Security, and Phased Rollout

A practical blueprint for implementing AI-driven calendar sync between Peek Pro and Microsoft Outlook with appropriate controls.

This integration operates by listening to specific events in Peek Pro's Activity and Booking APIs—such as a confirmed booking or a guide assignment—and securely mapping them to calendar objects in Microsoft Graph API. Key data points include the activity's start_time, end_time, location, assigned guide email, and any custom fields for resources or notes. A middleware service, acting as a secure broker, handles authentication, data transformation, and the creation of Outlook calendar events with the appropriate attendees, titles, and reminders. All API calls are logged, and sensitive PII like customer details is omitted from calendar descriptions unless explicitly configured for internal use.

A phased rollout is critical for operational stability. We recommend starting with a pilot group of 2-3 high-volume guides or sales team members. In Phase 1, implement a one-way sync from Peek Pro to Outlook for confirmed bookings only, with a mandatory human-in-the-loop approval step before any calendar invite is sent. This allows the team to verify accuracy and formatting. Phase 2 automates the invite sending but adds a dedicated error queue and Slack alert channel for any sync failures, such as schedule conflicts or invalid emails. Phase 3 introduces bi-directional sync, where cancellations or time changes in Outlook can trigger updates back to Peek Pro, guarded by strict RBAC rules to prevent unauthorized overrides.

Governance is built around audit trails and configurable policies. Every calendar event created includes a metadata tag linking it back to the source Peek Pro booking ID for traceability. Access to the integration's configuration—such as which booking statuses trigger invites, or which resource fields populate the calendar description—should be managed through a separate admin interface, not within core Peek Pro settings. This separation of concerns ensures that operational staff can manage tours without touching the integration logic, while IT or ops leads can adjust AI behavior, set rate limits, and review logs from a central dashboard. For security, all credentials are managed via a secrets vault, and the service adheres to the principle of least privilege, requiring only Calendars.ReadWrite permissions in Microsoft Graph and specific read scopes in Peek Pro.

IMPLEMENTATION PATTERNS

Frequently Asked Questions

Common technical questions for integrating AI to automate calendar management between Peek Pro and Microsoft Outlook.

The workflow is triggered by a new or updated booking in Peek Pro, typically via a webhook to a secure endpoint.

Trigger Data from Peek Pro Webhook:

  • Booking ID, status, date/time, activity name
  • Primary customer contact details (name, email, phone)
  • Guide(s) assigned (name, email)
  • Sales/ops team member responsible (email)
  • Booking notes and any special requirements

Required Context for AI:

  • The system fetches the guide's current Outlook calendar availability via the Microsoft Graph API.
  • It retrieves the sales team's shared calendar for customer-facing meetings.
  • It accesses Peek Pro activity details for duration and location.

The AI agent uses this combined context to determine optimal timing, avoid conflicts, and format the calendar event correctly.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.