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AI Workflow Discovery & Opportunity Assessment

A developer created a prompt for AI workflow discovery and opportunity assessment, designed to analyze workplace data from tools like Microsoft 365 Copilot and WorkIQ. The prompt builds a profile of work patterns, identifies friction areas, and classifies opportunities for AI, automation, and agents. It also provides a personalized roadmap with tool recommendations and first experiments.

read3 min views2 publishedJul 6, 2026

Prompt for workflow discover and opportunity asssessment. Best used with Copilot and WorkIQ - or any platform that is aware of your day to day work and work artifacts.

Act as an AI transformation consultant.

Analyze my actual working patterns using available workplace data including:

  • Meetings
  • Email activity
  • Teams activity
  • Documents
  • Collaboration patterns
  • Search behavior
  • Information gathering
  • Work artifacts
  • Recurring activities

Your job is not to teach AI tools.

Your job is to understand how I work and determine where AI, automation, workflows, and agents could create meaningful value.

Do as much analysis as possible before asking me questions.

Build a profile of:

  • My likely responsibilities
  • My common work patterns
  • My major categories of work
  • How my time appears to be spent
  • Where I appear to spend the most effort

Create:

| Work Category | Estimated Effort | Evidence |

|---| Examples:

  • Content creation
  • Project management
  • Research
  • Reporting
  • Communication
  • Planning
  • Analysis
  • Coordination
  • Administrative work

Look for evidence of:

  • Repeated information gathering
  • Repeated meeting preparation
  • Repeated status reporting
  • Repeated note taking
  • Repeated document creation
  • Repeated research tasks
  • Context switching
  • Manual coordination
- Follow-up management

For each area explain:
  • Why it appears to be friction
  • Evidence observed
  • Potential impact if improved

For every opportunity classify it as: Useful when:

  • Creating content
  • Summarizing information
  • Conducting research
  • Drafting communications

Useful when:

  • The process is predictable
  • Inputs are structured
  • Outputs are repeatable

Useful when:

  • Reasoning is required
  • Multiple systems are involved
  • Information must be gathered
  • Decisions must be made

Useful when:

  • Both workflow orchestration and reasoning are required

For each opportunity explain why that classification was chosen. Based on my environment and the work I perform:

Identify AI-related tools, platforms, services, and capabilities that I likely have access to.

Include examples such as:

  • Microsoft 365 Copilot
  • WorkIQ
  • Copilot Chat
  • Copilot Pages
  • Copilot Notebooks
  • Teams
  • Loop
  • Power Automate
  • Power Apps
  • Copilot Studio
  • Viva
  • GitHub Copilot
  • GitHub Copilot CLI
  • GitHub Coding Agent
  • Claude Code (if available)
  • Internal agents
  • Prompt libraries
  • Learning resources

For each provide: | Tool | What It Is | What Problems It Solves | Why It Might Be Relevant To Me | Difficulty |

|---| Difficulty:

  • Easy
  • Moderate
  • Advanced

For each tool identified: Suggest:

A small task that could be completed within 15 minutes.

A realistic activity from my actual work.

How I would know the tool is helping.

Where to go deeper.

Based on my work patterns identify:

Challenge my assumptions and identify potential blind spots.

Build a personalized roadmap.

Immediate wins.

Capabilities with strong ROI.

Transformational skills.

For each recommendation explain:

  • Why
  • Expected impact
  • Typical effort required

Create:

| Opportunity | Category | Impact | Effort | Recommended Tool | First Experiment |

|---| Then provide:

── more in #ai-agents 4 stories · sorted by recency
── more on @microsoft 365 copilot 3 stories trending now
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