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Alan provides AI-powered scheduling recommendations to help you make better assignment decisions. When you need to assign work, Alan analyzes your team’s availability, workload, and skills to suggest the best person for the job.

How Alan helps with scheduling

Intelligent recommendations

When you ask “Who should I assign this to?”, Alan considers:

Availability

Who has capacity and how many hours they have available

Workload

Current commitments and how easy it is to interrupt them

Skills

Work type match (development, design, or QA)

Context

Leave status, past work on the client or project

Contextual help

Alan provides scheduling recommendations in two ways:
  1. In the chat - Ask assignment questions anywhere Alan is available
  2. Scheduling dialogs - Click “Ask Alan” when scheduling work for task-specific recommendations

Using Alan in scheduling dialogs

The best way to get scheduling help is through the “Ask Alan” panel in scheduling dialogs.

Step 1: Open the scheduling dialog

When scheduling a help desk ticket, subtask, or block:
  1. Click “Schedule” on the item
  2. Look for the “Ask Alan” button or panel

Step 2: Get recommendations

Alan automatically analyzes the work and suggests assignees:
  • Work type is determined based on the task (dev, design, or QA)
  • Context from the ticket or task is considered
  • Team availability is checked in real-time

Step 3: Review suggestions

Alan presents recommendations with:
  • Name and role of each suggested person
  • Available hours they have today/this week
  • Workload context (e.g., “no urgent commitments”, “has some tasks today”)
  • Reason why they’re a good fit

Step 4: Assign with one click

Each recommendation includes an action button:
  • Click the button to instantly assign the work
  • No need to navigate away from the chat
  • The dialog updates with your selection

Understanding workload tiers

Alan considers how easy it is to interrupt someone’s current work using a 4-tier system:
TierCurrent WorkInterruptionExample
Tier 1Help desk tickets (P1/P2)HardestWorking on urgent client issues
Tier 2Multi-day WIP tasksHardFinishing a task started yesterday
Tier 3Single-day tasksMediumHas tasks scheduled for today
Tier 4New/future work onlyEasiestOnly future work or nothing scheduled
Alan prioritizes people in lower workload tiers (easier to interrupt) when multiple team members have similar availability.

Example scheduling questions

Basic assignment

Who should I assign this development task to?
Alan responds with a ranked list of developers, showing availability and workload.

Specific requirements

Who can take this 6-hour design task starting tomorrow?
Alan filters by work type (design) and considers who has 6+ hours available tomorrow.

Client-specific work

Who should work on this Fargro ticket?
Alan considers team members who have worked with Fargro before and their current availability.

Urgent work

I need someone for an urgent P1 ticket - who's available now?
Alan identifies team members with the lightest workload who can be interrupted.

What Alan considers

Availability calculation

Alan checks each team member’s:
  • Scheduled hours - Work already planned
  • Capacity - Total billable hours available
  • Available hours - Capacity minus scheduled work

Leave and holidays

Team members on leave are:
  • Excluded from top recommendations
  • Still shown but flagged as “on leave”
  • Not suggested for urgent work

Work type matching

Alan only suggests team members whose work type matches the requirement:
  • Development tasks → Developers
  • Design tasks → Designers
  • QA tasks → QA team members
If you’re not sure about the work type, ask Alan to help determine it: “Is this a dev or design task?”

Priority and scheduling logic

How priority affects scheduling

CharleOS uses a priority system to determine what gets scheduled first:
  1. Help desk tickets (highest priority)
  2. WIP multi-day tasks (should complete before starting new work)
  3. Single-day tasks starting today
  4. New multi-day tasks starting today
  5. Future work (lowest priority)
Alan respects this hierarchy when making recommendations.

Workload optimization

Alan aims to:
  • Balance workload across the team
  • Minimize interruptions to focused work
  • Match skills to task requirements
  • Consider context like client history

Tips for better recommendations

Use scheduling dialogs

Get the best recommendations by using “Ask Alan” in scheduling dialogs where context is automatically provided

Be specific about timing

Mention when the work needs to start: “today”, “tomorrow”, “next week”

Specify duration

Include estimated hours: “4-hour task” or “this will take 2 days”

Ask follow-ups

Refine recommendations by asking “What about Sarah?” or “Who else is available?”

What if nobody’s available?

When the team is at capacity, Alan will:
  • Still provide recommendations based on best fit
  • Note workload constraints in the explanation
  • Suggest people with the lightest commitments
  • Mention if someone is on leave but returning soon
You can then:
  • Ask Alan to check specific future dates
  • Inquire about rescheduling existing work
  • Get suggestions for who has the least disruptive workload

Scheduling in Slack

Alan’s scheduling recommendations also work in Slack:

Slash command

/alan Who should I assign help desk ticket #42 to?

Direct message

I need to assign a 4-hour dev task - who's available?
Slack responses don’t include action buttons - you’ll need to apply the assignment in CharleOS.

Limitations

Alan provides recommendations but cannot:
  • Automatically apply assignments - You must click the action button or manually assign
  • Modify schedules - You must use the scheduling interface to make changes
  • Account for task dependencies - You should consider if design must be done before dev
  • Optimize across multiple days - Recommendations are based on current state
Future versions of Alan may include automatic scheduling, dependency awareness, and multi-day optimization. For now, Alan is your intelligent assistant providing recommendations you can apply with one click.

Next steps