85% of enterprises are running AI agents. Only 5% trust them enough to ship.

Eighty-five percent of enterprises are running AI agent pilots, but a staggering gap exists between pilot and production, with only 5% having moved those agents into production, according to Cisco President and Chief Product Officer Jeetu Patel, who disclosed this information in an exclusive interview at RSA Conference 2026. This statistic raises questions about the effectiveness of AI agents in enterprise settings. The gap between pilot and production is a significant concern, as it indicates that many enterprises are struggling to trust their AI agents enough to deploy them on a large scale. The implications of this gap are far-reaching, with potential consequences for market dominance and even bankruptcy, as Patel suggested. For instance, a company that fails to deploy its AI agents effectively may fall behind its competitors, losing market share and revenue. Trust in AI agents is crucial for their successful deployment, and the lack of trust is a major obstacle to overcoming the gap between pilot and production. The future of AI agent deployment looks uncertain, with many enterprises still struggling to overcome the trust gap, and it remains to be seen how they will address this issue. Closing the trust gap is essential for the successful deployment of AI agents, and companies like Cisco are taking steps to address this issue, with Patel announcing a mandate to reshape the company's 90,000-person engineering organization. The trust gap is not just a technical issue, but also a cultural one, requiring a fundamental shift in how enterprises approach AI agent deployment. What to expect next is that companies will need to prioritize building trust in their AI agents, through transparency, explainability, and accountability, in order to close the gap between pilot and production. The consequences of failing to close the trust gap are severe, with companies that fail to deploy their AI agents effectively risking market dominance and even bankruptcy, as Patel warned. The key takeaway from this situation is that trust is essential for the successful deployment of AI agents, and companies must prioritize building trust in their AI agents in order to close the gap between pilot and production and achieve market dominance. The trust gap is a complex issue, requiring a multifaceted approach that addresses technical, cultural, and organizational factors, and companies must be willing to invest time and resources in building trust in their AI agents. The future of AI agent deployment depends on the ability of companies to close the trust gap, and it remains to be seen how they will address this challenge. The statistic that only 5% of enterprises have moved their AI agents into production is a wake-up call for the industry, highlighting the need for a fundamental shift in how AI agents are deployed. The lack of trust in AI agents is a major obstacle to their successful deployment, and companies must prioritize building trust in order to close the gap between pilot and production. The mandate announced by Patel is a significant step towards addressing the trust gap, and it will be important to see how it is implemented and what impact it has on the company's AI agent deployment. The gap between pilot and production is a significant concern, and companies must take immediate action to address it, or risk falling behind their competitors. The importance of trust in AI agents cannot be overstated, and companies must prioritize building trust in order to achieve market dominance. The statistic that 85% of enterprises are running AI agent pilots is a significant one, highlighting the potential for AI agents to transform the industry. The lack of trust in AI agents is a major obstacle to their successful deployment, and companies must address this issue in order to close the gap between pilot and production. The consequences of failing to close the trust gap are severe, and companies must take immediate action to address this issue. The future of AI agent deployment depends on the ability of companies to build trust in their AI agents, and it remains to be seen how they will address this challenge. The key to successful AI agent deployment is trust, and companies must prioritize building trust in order to achieve market dominance. The trust gap is a complex issue, requiring a multifaceted approach that addresses technical, cultural, and organizational factors, and companies must be willing to invest time and resources in building trust in their AI agents. The statistic that only 5% of enterprises have moved their AI agents into production is a wake-up call for the industry, highlighting the need for a fundamental shift in how AI agents are deployed. The lack of trust in AI agents is a major obstacle to their successful deployment, and companies must prioritize building trust in order to close the gap between pilot and production. The importance of trust in AI agents cannot be overstated, and companies must prioritize building trust in order to achieve market dominance. The gap between pilot and production is a significant concern, and companies must take immediate action to address it, or risk falling behind their competitors. The future of AI agent deployment depends on the ability of companies to build trust in their AI agents, and it remains to be seen how they will address this challenge. The key takeaway from this situation is that trust is essential for the successful deployment of AI agents, and companies must prioritize building trust in their AI agents in order to close the gap between pilot and production and achieve market dominance. The trust gap is a complex issue, requiring a multifaceted approach that addresses technical, cultural, and organizational factors, and companies must be willing to invest time and resources in building trust in their AI agents. What the future holds for AI agent deployment is uncertain, but one thing is clear: trust is essential for success. The consequences of failing to close the trust gap are severe, and companies must take immediate action to address this issue. The importance of trust in AI agents cannot be overstated, and companies must prioritize building trust in order to achieve market dominance. The gap between pilot and production is a significant concern, and companies must take immediate action to address it, or risk falling behind their competitors. The future of AI agent deployment depends on the ability of companies to build trust in their AI agents, and it remains to be seen how they will address this challenge. The key to successful AI agent deployment is trust, and companies must prioritize building trust in order to achieve market dominance. The trust gap is a complex issue, requiring a multifaceted approach that addresses technical, cultural, and organizational factors, and companies must be willing to invest time and resources in building trust in their AI agents. The lack of trust in AI agents is a major obstacle to their successful deployment, and companies must prioritize building trust in order to close the gap between pilot and production. The importance of trust in AI agents cannot be overstated, and companies must prioritize building trust in order to achieve market dominance. The statistic that only 5% of enterprises have moved their AI agents into production is a wake-up call for the industry, highlighting the need for a fundamental shift in how AI agents are deployed. The gap between pilot and production is a significant concern, and companies must take immediate action to address it, or risk falling behind their competitors. The future of AI agent deployment depends on the ability of companies to build trust in their AI agents, and it remains to be seen how they will address this challenge. The key takeaway from this situation is that trust is essential for the successful deployment of AI agents, and companies must prioritize building trust in their AI agents in order