95% of enterprise AI pilots fail. This statistic from MIT’s latest study rattled boardrooms and may have even fueled investor sell-offs, but does it really show that AI itself is failing?

A closer look at the study suggests otherwise. The problem isn’t AI itself, but the four traps enterprises consistently run into.

In this post, we unpack those pitfalls and explain how AgentFlow was designed to solve them, well before the report brought them into focus.

Read now to learn how to avoid being part of the 95%:

This Week: How Agentic AI Will Transform VC Finance With Pete Keenan

Can autonomous AI agents take venture finance beyond spreadsheets and static dashboards?

What happens when KPI reporting, fund modeling, and LP updates shift from manual to agent-first workflows?

Pete Keenan, VP of Finance at 645 Ventures, shares how his team is reimagining fund ops, diligence, and decision-making with agentic AI, moving from fragmented systems to orchestrated, enterprise-grade workflows.

We covered:

• Why trust, explainability, and governance are non-negotiable in VC finance

• How agents can cut hours of manual KPI reporting and modeling into minutes

• Why portfolio companies must operationalize AI, not just invest in it

• The role of integration as a competitive moat in AI-native startups

• A future where “AI employees” extend finance teams and accelerate decision velocity

Join Shawn Dunn at the “Agentic AI in Credit Unions” Webinar

Shawn Dunn, VP of Data and Analytics at WSECU, is guiding AI adoption in credit unions with a focus on efficiency, compliance, and member trust, drawing on decades of experience to ensure technology strengthens, not replaces, the human side of service.

On September 10th, Shawn will join two other credit union leaders in our webinar Agentic AI in Credit Unions: The Art of the Possible. Together, they’ll share hard-earned lessons on adopting AI responsibly, where the biggest wins come from pairing back-office automation with member-facing personalization.