Shibumi Launches AI Agents, Transforming Strategy Execution With Always-On Intelligence and Autonomous Work Creation

New AI Agent Library and AI Agent Factory Enable Organizations to Configure Digital Assistants That Proactively Drive Strategic Initiatives

Shibumi, the leader in strategy execution software, announced that Shibumi Agentic AI is now available to all customers on the Shibumi platform. The new technology, which was previewed at Vision to Value, the company’s annual customer summit, provides customers with AI Agents from the Shibumi AI Agent Library and access to the Shibumi Agent Factory where customers can configure their own AI Agents.

This groundbreaking release marks a fundamental shift in strategy execution management, moving from a world where humans must initiate work to an always-on environment where organizations receive answers before they ask for them. The new AI Agents effectively transform each strategy execution analyst into a full strategy execution team by expanding their capacity with intelligent digital assistants.

“Shibumi AI Agents represent the next evolution in strategy execution,” said Bob Nahmias, CEO of Shibumi. “By combining the power of AI with our deep understanding of strategic initiative management, we’re enabling our customers to operate at unprecedented speed and scale. These AI Agents don’t just respond to requests; they anticipate needs, identify opportunities, and drive action.”

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The Shibumi AI Agents succeed by merging document content and your strategic program data within the Shibumi platform, with Shibumi’s time- and event-based business rules. Shibumi AI Agents automatically create digests, summaries, recommendations, follow-up items, and work items.

Some examples of how Shibumi Agentic AI transforms strategy execution include:

• Automated Workplan Creation: Upload a charter document and Shibumi AI Agents automatically create a complete workplan and downstream documents for analyst review and approval.
• Performance Gap Analysis: Using benchmarking data, AI Agents identify performance gaps and recommend initiatives from best practices libraries to close those gaps.
• Workflow Recommendations: A Shibumi AI Agent analyzes state of the initiative and makes a recommendation to the analyst to approve or not approve.

“We’re thrilled to partner with our customers to help them unlock even more value from the platform,” said Kim Lewis, Chief Product Officer at Shibumi. “These AI Agents aren’t just about working more efficiently; they fundamentally reimagine how strategy execution gets done. Our customers can now focus on high-value decision-making while AI Agents handle the heavy lifting of data analysis, pattern recognition, and routine work creation.”