GTM: ⁠How AI Will Go From Influencing 20% to Making 90% of Your Decisions | Steve Lucas, Boomi CEO

Why It Matters

The rapid escalation of AI decision‑making will reshape enterprise strategy, making integrated, real‑time data and employee trust essential for competitive advantage.

Key Takeaways

• AI will drive 90% of executive decisions within two years
• Data fragmentation is the top barrier to enterprise AI adoption
• Readiness check: connected systems, automated processes, agentic capabilities
• Trust and employee acceptance dictate AI rollout success
• Boomi moves data in motion, activating it for real‑time AI

Pulse Analysis

The next wave of artificial intelligence is moving beyond assistance to autonomous decision‑making, a transition executives are calling the "agentic AI" era. Steve Lucas argues that by 2026 AI will be responsible for the vast majority of strategic choices, a timeline echoed by analysts who see large‑language models maturing into reliable business agents. This shift forces leaders to rethink governance, risk, and compliance frameworks, as AI‑driven outcomes will directly affect revenue, supply chain, and customer experience. Companies that fail to embed AI into their core processes risk being outpaced by rivals that have already operationalized intelligent agents.

Boomi’s rebranding as a data‑activation company reflects the industry’s realization that raw data alone is insufficient. By moving more data per second than twice the Visa network, Boomi illustrates the scale required to feed AI models in real time. The platform connects disparate systems, automates data flows, and delivers clean, contextual information to AI agents, effectively turning dormant databases into active business assets. Lucas’s three‑question readiness framework—connected systems, automated processes, and agentic capability—offers a practical checklist for firms seeking to transition from pilot projects to enterprise‑wide AI deployment.

Human factors remain the decisive element in any AI rollout. Lucas recounts the backlash when Boomi introduced a Customer Success Manager (CSM) agent, highlighting that perceived job threats can stall adoption regardless of technical merit. Building trust through transparent communication, clear value propositions, and involving employees in the design of AI tools can mitigate resistance. Leaders who prioritize cultural alignment alongside technological integration will unlock the full potential of agentic AI, positioning their organizations for sustained growth in an increasingly automated marketplace.