The most important AI capability going mainstream in the next 12 months
AI agents that can securely work with an organization’s own data and workflows. A lot of companies have already experimented with generic AI tools, but the real shift will happen when AI is connected to business context: content, customer data, internal processes, permissions and existing systems.
That’s when AI becomes more useful in day-to-day work, helping teams generate content, find the right information, automate tasks and move faster without needing a specialized development team behind every use case.
How AI changes organizational decision-making by 2027
By 2027, AI will make decision-making more continuous and context-aware. Today, many organizations still make decisions through periodic reports, manual analysis and disconnected systems. AI will help bring more relevant data into the workflow so teams can move from insight to action faster.
But the best decisions will still require human judgment. The value will come when AI helps people see patterns, surface risks and recommend next steps, while people remain accountable for the final output. For enterprises, especially in regulated industries, that balance between speed, context and governance will be critical.
The most underestimated AI risk / bet leaders will get wrong
The most underestimated challenge is governance and integration.
Many companies are underestimating what it takes to connect AI securely to enterprise data, manage who can access what, monitor performance and control costs over time. Without a central approach, AI can quickly become another layer of complexity: more tools, more data silos and more risk.
That’s why companies need to think about AI architecture early. The question companies need to ask is, “Can we use AI responsibly, securely and in a way that fits with how our business actually works?”
Advice for a company starting its AI journey today
Start with a real business problem, not with technology. The companies that get value from AI will be the ones that identify specific workflows where AI can reduce friction or help employees make better decisions.
I would also advise companies to involve IT, security and business teams from the beginning. AI should not be a side experiment happening outside the systems and controls the business already depends on. Start small, prove value, and build a foundation that can scale. That means thinking about governance, data quality, integration and employee adoption from day one.
The AI trend you are most excited about
I’m most excited about AI becoming more accessible to the whole business. For a long time, advanced automation required deep technical resources, custom code and long development cycles. That’s starting to change.
Business users, marketers, service teams and internal teams will increasingly be able to use AI in more practical ways, while IT provides the right governance, security and integration foundation. That’s where AI can become less of a novelty and more of a daily productivity layer across the organization.
