AI isn't your problem anymore. Scaling it is.

McKinsey finds 88% of organisations now use AI in at least one function, yet only about a third have begun to scale it, and just 39% see any measurable effect on profit. Deloitte adds that only about one in five companies can properly govern the agents they're rolling out. The hard part was never getting started.

Our agents run across leading industries:

Not pilots. Production.

Gartner expects global AI spending to hit $2.59 trillion in 2026, up 47%, and calls it the industry's inflection year. The fastest-growing line isn't chatbots; it's AI agents, forecast near $206 billion this year.

This spring, SAP, NVIDIA, Salesforce and ServiceNow each launched agent platforms within weeks of one another. The question has shifted from "what can one model do?" to "what can a fleet of agents run?"

Sources: Gartner AI spending forecast (May 2026); SAP Sapphire keynote coverage (May 2026).

While much of the market is still standing up its first agent, ours are built, governed and ready to deploy, across FMCG, retail, manufacturing, energy & utilities, BFSI, supply-chain & transportation, sustainability & ESG, life sciences and project management.

A lot moved in weeks. Tap each story to expand.

Our agents are built with people in the loop by design. Every output is reviewable and traceable, and everything runs inside the same data and governance guardrails that our enterprise customers already trust. Exactly what our platforms are built for.

Sources: Model releases from Anthropic, OpenAI, Google (May–June 2026); CNBC on Anthropic funding (May 2026); European Commission, EU AI Act.

One of the most important AI stories of 2026 is unfolding off-screen. Data centres already use about 1.5% of the world's electricity, and that could more than double by 2030, which is why AI projects now plan around energy as much as chips. Supply chains feel it too, as China's controls on rare earths and minerals like indium ripple through advanced-chip production amid shifting US–China trade talks. And as compute grows more strategically important, more than 60 nations are pursuing "sovereign AI."

Read together, these are less a cause for alarm than a sign of maturity: AI is now being treated as real infrastructure, with the investment, energy innovation and local capability that follow. IDC expects most multinationals to run AI across multiple sovereign zones by the end of the decade.

For enterprises, the lesson is simple: where your data lives, how it's governed, and who controls the stack matter more than they used to. We treat that as something to work through with customers, not a box to tick. Our agents are built to run inside your existing data and governance boundaries, including when information has to stay in-region.

Sources: Brookings / IEA on data-centre energy (April 2026); CNBC on US–China chips and rare earths (May 2026); IDC FutureScape and Atlantic Council on sovereign AI (2026).