In a recent LinkedIn post, Andrew Bolis discusses the pervasive issue of repetitive tasks within business teams and introduces AI agents as a powerful solution for automation. Bolis highlights the common struggle teams face with managing endless Slack threads, scattered files, and constant routine requests, noting that even with existing tools, significant time is lost on mundane activities.
He emphasizes the transformative potential of AI agents, acknowledging that many are unsure how to begin integrating them into their workflows. Bolis then pivots to how his company’s platform, Runbear, can address this gap.
“AI agents can transform how teams operate. ↳ But most people don’t know where to start ↳ Or how to integrate them into their workflow.”
As Andrew Bolis points out, Runbear is designed as an AI agent builder capable of automating various functions, including client support, report generation, task organization across different tools, and meeting preparation.
Streamlining Workflows with AI Agents
Andrew Bolis outlines a clear, step-by-step process for building an AI agent using Runbear. This approach aims to demystify the integration of AI into daily operations.
The Five-Step Agent Building Process
According to Bolis, the process begins with creating an account on Runbear, followed by naming the AI agent, such as a ‘Sales Assistant’ or ‘CX Helper.’ A crucial step involves selecting the specific tools the team uses, like Google Drive, Notion, or HubSpot. The AI agent then leverages these connections to automatically find and summarize relevant information.
“The agent will use them to find and summarize information automatically.”
Bolis further explains the importance of teaching the AI context, providing specific instructions on where to locate details. This might involve directing the agent to a particular spreadsheet for pricing information or checking a system like Stripe for customer subscription data.
The final step in Bolis’s proposed workflow is connecting the AI agent to Slack. Once integrated, team members can ask questions directly within Slack and receive immediate, accurate answers. This seamless integration is key to overcoming the initial hurdles of AI adoption.
Versatile Applications of AI Agents
Andrew Bolis highlights the broad applicability of these AI agents, suggesting they can be customized for a wide range of needs. He provides several examples of how teams can leverage this technology to enhance productivity.
- Prepare for meetings by reviewing previous conversations.
- Draft replies to emails automatically.
- Process PDF files and log data in Google Sheets.
- Generate weekly progress reports before stand-up meetings.
In Bolis’s view, the ability to build and deploy these agents makes them a practical tool for immediate efficiency gains. He encourages readers to take action:
“📌 Build your first AI agent today: https://lnkd.in/gJmFVbB9”
Bolis concludes by urging others to share this information, framing AI agents as a valuable resource for broader adoption and benefit within the business community.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on December 2, 2025 | View original post on LinkedIn →