OwlAI (Beta)
Conversational Insights for Your Operations Data
Overview
OwlAI is a new conversational feature inside OwlOps that allows you to ask natural-language questions about your task and equipment data — and receive structured, actionable answers instantly.
Instead of building reports or manually filtering dashboards, you can simply ask:
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“What are the top issues last month?”
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“How many plumbing tasks last quarter?”
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“Show me open fryer tasks at store 12345.”
OwlAI translates your question into secure, read-only queries and returns results that you can drill into immediately.
🚀 Initial Release (Beta Access)
OwlAI is currently in its initial release phase.
We are actively looking for customers who want early access and are willing to:
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Explore the system
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Ask real operational questions
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Help us refine and improve the experience
If you’re interested in getting access, please contact:
We’d love to have operators who are curious and want to “play with the system” to help shape its evolution.
🔍 What You Can Do with OwlAI
OwlAI v1 focuses on reading and analyzing your existing task data.
There are three primary types of tools available:
1️⃣ Aggregated Insights (Grouped Data)
Use this when you want to see trends or top issues grouped by something.
Examples:
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“Top issues this month”
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“Tasks by department”
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“Most expensive subcategories this quarter”
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“Open tasks by region”
These responses typically show:
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Category or Subcategory
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Task counts
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Total cost
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Timing metrics
You can click a row to drill down and see the tasks behind the numbers.
2️⃣ Scalar Answers (How Many / How Much)
Use this when you want a direct numeric answer.
Examples:
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“How many open refrigeration tasks do we have?”
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“How much did ice machine repairs cost last year?”
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“How many urgent tasks are open in Florida?”
OwlAI will return a direct answer based on your scope and filters.
3️⃣ Task Lists (Drill-Down Detail)
Use this when you want to see the actual tasks.
Examples:
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“Show me those tasks.”
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“List open fryer tasks in Store 1823.”
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“Show high-priority plumbing tickets.”
These responses return a compact list of tasks with:
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Asset
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Task ID
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Assigned user
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Age
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Quick access to open the task
You can navigate directly into the task from the results.
🗣 How to Ask Good Questions
The goal is to ask questions naturally — just like you would ask a person.
However, if you’re not getting exactly what you want, you can refine your question using keywords such as:
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subcategory or subcat
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category
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priority
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urgent
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open or closed
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region
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store
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department
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this month / last quarter / this year
Example Refinements
Instead of:
“Show me equipment issues.”
Try:
“Show me open equipment issues by subcategory this quarter.”
Instead of:
“What’s costing us the most?”
Try:
“What subcategory has the highest total cost this year?”
If you don’t specify a date range, OwlAI may assume you’re referring to your current open workload. If you want historical data, include a timeframe.
👍👎 Feedback Helps Us Improve
After each response, you’ll see thumbs up / thumbs down buttons.
Please use them.
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👍 = Helpful / accurate
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👎 = Not what you expected
This feedback goes directly into our improvement process and helps us:
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Tune question interpretation
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Improve grouping logic
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Expand capabilities
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Identify gaps in understanding
Your real-world questions are the most valuable input we can get.
🔐 Important Notes
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OwlAI is read-only.
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It does not create or modify tasks.
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It only accesses data you already have permission to see.
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All queries are securely scoped to your role and access level.
💡 Best Way to Explore
The best way to use OwlAI is to start with questions you’ve already asked yourself in meetings, such as:
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“Why are fryer repairs so high?”
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“Are refrigeration issues increasing?”
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“Which store has the most urgent work?”
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“What keeps breaking?”
Then drill into the results and see what you discover.
If you're interested in early access or would like to participate in shaping the future of OwlAI:
We’re excited to build this with you.