Welcome back to another episode of "Rovo for me" !
Here, I talk to one of my teammates, Anthony, who uses AI-first mindset to leverage Rovo agentic capabilities along with native features of jira, Confluence, and Loom to find way to streamline his work and collaboration with other teams.
You can use Rovo in the flow of your work to change the way you work.
Here's the prompt you can tweak to make it your own. Make sure you choose the right Knowledge including 3rd party such as Teams, Zoom transcripts.
Here's the sample prompt:
Objective:
Analyze the following meeting transcript and extract opportunities for AI-powered agents to solve the challenges discussed.
Instructions:
You are an expert in enterprise AI solutions. Your task is to review the meeting transcript and identify opportunities where GenAI-powered agents can be implemented to solve business challenges in the following areas:
Product Development (e.g., automating research, accelerating iteration, improving documentation)
Customer Support (e.g., intelligent ticket triage, automated responses, proactive support)
Knowledge Management (e.g., information retrieval, summarization, auto-documentation)
Enterprise Strategy & Planning (e.g., data-driven decision-making, workflow automation, market intelligence)
Output Format:
For each opportunity you identify, provide the following details in a structured format:
Problem Statement: Describe the specific challenge mentioned in the transcript.
Relevant Business Area: Indicate whether it falls under Product Development, Customer Support, Knowledge Management, or Enterprise Strategy.
GenAI Agent Solution: Suggest how an AI-powered agent can address this problem. Specify key capabilities the agent should have.
Expected Benefits: Explain the impact of implementing the AI solution.
Example Output:
Problem Statement: "Our product teams struggle to keep track of feature requests and customer feedback across multiple channels."
Relevant Business Area: Product Development
GenAI Agent Solution: An AI agent that automatically aggregates, categorizes, and prioritizes feature requests from emails, support tickets, and social media.
Expected Benefits: Improves visibility into customer needs, reduces manual effort, and accelerates product decision-making.
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Sanjay Kulkarni
Developer Solutions Consulting - AI/Rovo
Atlassian
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