The artificial intelligence landscape is rapidly evolving and with that evolution comes scrutiny. Following a wave of concern surrounding the “letting go” approach of AI tools like OpenClaw, Quill, an agentic AI company, is doubling down on a different philosophy: security-by-design. The company aims to provide “proactive AI, with humans in control,” according to founder and CEO Michael Daugherty.
The shift in strategy comes after OpenClaw, a tool allowing AI significant autonomy, faced backlash for its potential risks. Daugherty characterized OpenClaw as “the ultimate in letting go… a little bit of gambling,” contrasting it sharply with Quill’s more measured approach to artificial intelligence development. This focus on human oversight is intended to address concerns about unpredictable AI behavior and potential security vulnerabilities, a growing worry as these technologies grow more integrated into professional workflows.
Quill’s core offering seeks to solve a common problem for today’s knowledge workers. The company estimates professionals dedicate approximately 75% of their workday to collaboration – through calls, meetings, and messaging platforms. Although, the sheer volume of information generated during these interactions often remains untapped. “Because no one goes back and reads 10,000 words for an hour to understand what happened,” Daugherty explained, highlighting the need for a system that can effectively process and contextualize this data.
To address this challenge, Quill is building a system that connects to a wide array of popular work tools. These include Slack, Notion, Salesforce, Gamma, Linear, Affinity, Obsidian, Airtable, and Manus, utilizing what the company calls the Model Context Protocol (MCP). This protocol allows Quill to ingest information from these various sources, creating a unified understanding of ongoing projects and conversations. The goal is to move beyond simply recording information to actively utilizing it, providing users with actionable insights and automating tasks.
The emphasis on integration and contextual awareness sets Quill apart from other AI solutions. By connecting to the tools professionals already use, Quill aims to seamlessly embed itself into existing workflows, rather than requiring users to adopt entirely new systems. This approach is crucial for widespread adoption, as it minimizes disruption and maximizes the value proposition for businesses.
The development of the Model Context Protocol is a key component of Quill’s strategy. MCP allows the AI to understand the relationships between different pieces of information, regardless of where they originate. This contextual understanding is essential for accurate analysis and effective automation. By prioritizing security and human control, Quill hopes to build trust and demonstrate the responsible application of agentic AI.
Michael Daugherty is a Principal Consultant at Daugherty Business Engineering, according to his LinkedIn profile. Daugherty Business Engineering is a global technology services firm.
As Quill continues to refine its platform and expand its integrations, the company will be closely watched by both the tech industry and those concerned about the ethical implications of AI. The success of Quill’s security-by-design approach could pave the way for a more responsible and trustworthy future for agentic AI.
The next step for Quill involves expanding the capabilities of its Model Context Protocol and integrating with additional tools used by professionals. The company plans to release further details on these developments in the coming months.
What are your thoughts on the balance between AI autonomy and human control? Share your perspective in the comments below.
