AI Operations Copilot for Enterprise Monitoring
AI Operations Copilot for Enterprise Monitoring
How might we help operations teams investigate incidents, automate repetitive workflows, and respond faster using AI?
How might we help operations teams investigate incidents, automate repetitive workflows, and respond faster using AI?
Role
Role
Product Designer
Product Designer
Product Designer
Timeline
Timeline
4 Weeks
4 Weeks
4 Weeks
Responsibilities
Responsibilities
UX Strategy • Product Discovery • User Research • AI Experience Design • Interaction Design • Prototyping • Usability Validation
UX Strategy • Product Discovery • User Research • AI Experience Design • Interaction Design • Prototyping • Usability Validation
UX Strategy • Product Discovery • User Research • AI Experience Design • Interaction Design • Prototyping • Usability Validation
Understanding the Problem
Understanding the Problem
Operations teams spend their day switching between dashboards, logs, alerts, ticketing systems, and communication tools.
Finding answers often requires navigating multiple screens, while repetitive operational tasks—such as documenting incidents or preparing shift handovers—consume valuable time.
We wanted to explore how AI could reduce this operational overhead while fitting naturally into existing workflows.
Operations teams spend their day switching between dashboards, logs, alerts, ticketing systems, and communication tools.
Finding answers often requires navigating multiple screens, while repetitive operational tasks—such as documenting incidents or preparing shift handovers—consume valuable time.
We wanted to explore how AI could reduce this operational overhead while fitting naturally into existing workflows.
Research instead of assumptions
Research instead of assumptions
Rather than designing based on assumptions, I interviewed 10 operations professionals to understand how they monitor systems, investigate incidents, and where AI could add the most value.
Participants
Infrastructure Engineers
Operations Engineers
IT Administrators
Selection Criteria
Daily users of enterprise monitoring platforms
Responsible for incident management
Familiar with generative AI tools
Key Insights
90% preferred a conversational way to interact with monitoring data.
Users wanted AI to explain incidents, recommend actions, and automate repetitive work
Users didn't want another chatbot. They wanted an intelligent operations assistant.
Rather than designing based on assumptions, I interviewed 10 operations professionals to understand how they monitor systems, investigate incidents, and where AI could add the most value.
Participants
Infrastructure Engineers
Operations Engineers
IT Administrators
Selection Criteria
Daily users of enterprise monitoring platforms
Responsible for incident management
Familiar with generative AI tools
Key Insights
90% preferred a conversational way to interact with monitoring data.
Users wanted AI to explain incidents, recommend actions, and automate repetitive work
Users didn't want another chatbot. They wanted an intelligent operations assistant.
Designing the AI Operations Copilot
Designing the AI Operations Copilot
The objective was to make AI feel like a natural extension of the operations team rather than a standalone chatbot. To achieve this, I designed an AI workspace embedded directly within the monitoring platform, allowing users to access insights and complete tasks without leaving their workflow.
The AI Operations Copilot supports users in three key ways:
Conversational Intelligence – Investigate incidents and retrieve operational insights using natural language.
Agentic Workflows – Perform actions such as drafting communications, generating reports, and completing operational tasks with user approval.
The objective was to make AI feel like a natural extension of the operations team rather than a standalone chatbot. To achieve this, I designed an AI workspace embedded directly within the monitoring platform, allowing users to access insights and complete tasks without leaving their workflow.
The AI Operations Copilot supports users in three key ways:
Conversational Intelligence – Investigate incidents and retrieve operational insights using natural language.
Agentic Workflows – Perform actions such as drafting communications, generating reports, and completing operational tasks with user approval.
Conversational Intelligence
Conversational Intelligence
Users can investigate operational data using natural language instead of navigating multiple dashboards.
For example, they can ask:
Why did LPAR18 fail?
Show all storage alerts from today.
Which incident has the highest business impact?
The AI analyses the operational context, retrieves relevant information, explains incidents, and recommends next steps.
Users can investigate operational data using natural language instead of navigating multiple dashboards.
For example, they can ask:
Why did LPAR18 fail?
Show all storage alerts from today.
Which incident has the highest business impact?
The AI analyses the operational context, retrieves relevant information, explains incidents, and recommends next steps.
Agentic Workflows
Agentic Workflows
Beyond answering questions, the Copilot can take action on the user's behalf, enabling engineers to move from insight to execution without leaving the platform.
For example, a user can ask:
Draft a Microsoft Teams message for the Storage Team regarding the LPAR18 incident.
The Copilot then:
Retrieves the relevant incident context
Drafts the message
Requests user approval
Sends the message upon confirmation
By combining conversational AI with task execution, the Copilot reduces context switching and helps operations teams resolve incidents more efficiently.
Beyond answering questions, the Copilot can take action on the user's behalf, enabling engineers to move from insight to execution without leaving the platform.
For example, a user can ask:
Draft a Microsoft Teams message for the Storage Team regarding the LPAR18 incident.
The Copilot then:
Retrieves the relevant incident context
Drafts the message
Requests user approval
Sends the message upon confirmation
By combining conversational AI with task execution, the Copilot reduces context switching and helps operations teams resolve incidents more efficiently.
AI Shift Handover
AI Shift Handover
I designed an AI-assisted workflow that generates a structured shift brief using operational data already available within the platform.
Engineers can:
Select the incoming engineer
Choose the information to include
Generate an AI-powered shift brief
Review and refine the output before sharing
The Copilot compiles incident summaries, job updates, watch lists, and a Teams-ready handover message into a single report, reducing the need to manually assemble information across multiple dashboards.
I designed an AI-assisted workflow that generates a structured shift brief using operational data already available within the platform.
Engineers can:
Select the incoming engineer
Choose the information to include
Generate an AI-powered shift brief
Review and refine the output before sharing
The Copilot compiles incident summaries, job updates, watch lists, and a Teams-ready handover message into a single report, reducing the need to manually assemble information across multiple dashboards.
Reflection
Reflection
This project challenged me to think beyond designing interfaces and consider how AI could become a practical collaborator within enterprise workflows.
Designing the AI Operations Copilot reinforced that the value of AI isn't in how many tasks it can automate, but in how seamlessly it fits into a user's workflow and supports better decision-making.
This project challenged me to think beyond designing interfaces and consider how AI could become a practical collaborator within enterprise workflows.
Designing the AI Operations Copilot reinforced that the value of AI isn't in how many tasks it can automate, but in how seamlessly it fits into a user's workflow and supports better decision-making.
Got an innovative idea? Let's talk
©
Latifat Akinyemi
2025
Got an innovative idea? Let's talk
©
Latifat Akinyemi
2025
Got an innovative idea? Let's talk
©
Latifat Akinyemi
2025