TechTable by Vention: Leveraging AI for growth, change, and ROI

AI implementation is necessary, and CTOs feel pressure to generate results or be left behind. In fact, Gartner reports that 45% of enterprises have moved beyond pilots and into production with generative AI. At the same time, Forrester predicts that AI-led decision-making will drive 20% of business growth by the end of next year. 

The TechTable guests discussed the growing strain to move from experimentation to outcomes, with leaders sharing how they are reconfiguring delivery models, retraining teams, and revisiting KPIs to reflect AI’s impact on velocity and scale.

Driving ROI from AI requires looking beyond short-term productivity gains. For instance, research firm IDC projects that companies that operationalise AI across all business units will see a 4x improvement in customer experience and operational efficiency within the following year. Several attendees noted a shift in executive focus from developer productivity to AI’s influence on customer lifetime value, risk reduction, and business model agility.

Lyubomira mentioned how product teams at Veriom are using machine learning to preempt security threats and improve time-to-response for enterprise clients, delivering both compliance value and customer trust at scale.

As AI becomes embedded across systems, leaders emphasised the importance of technical governance and change readiness. As recently identified by Frost & Sullivan, nearly 90% of IT and business decision-makers recognise AI as critical to achieving objectives across all business functions, including enterprise-wide AI deployments beyond isolated use cases. Several guests spoke candidly about cultural hurdles — from internal misalignment on AI goals to insufficient buy-in at the board level.

Key solutions discussed included:

• AI working groups led by a cross-functional team
• Transparent rollout roadmaps tied to executive-level business goals
• Upskilling programs that balance technical fluency with ethical understanding.

The dinner closed with a forward-looking exchange around AI priorities for the next 12–18 months. Across the board, guests agreed that 2025-2026 would be the tipping point for platform consolidation and AI-native architecture. As companies reevaluate their tech stacks, Gartner forecasts that by 2027, more than half of enterprise software will be built on foundation models or embedded AI components.

Investments will likely focus on:

• Agentic AI for autonomous operations
• Synthetic data for training without regulatory roadblocks
• AI observability tools to ensure reliability and compliance.

TechTable reaffirmed that AI’s value isn’t in automation alone: it’s in transformation. Leaders who embrace that mindset will not only scale faster but also build more adaptable, forward-looking organisations.

Connect with Vention to make sure your AI roadmap is headed in the right direction.

Source: PR@ventionteams.com