AI is evolving faster than our vocabulary for describing it. We may need a few new words. We have “cognition” for how a single mind thinks, but we don't have a word for what happens when human and machine intelligence work together to perceive, decide, create and act. Let’s call that process intelition. Intelition isn’t a feature; it’s the organizing principle for the next wave of software where humans and AI operate inside the same shared model of the enterprise. Today’s systems treat AI models as things you invoke from the outside. You act as a “user,” prompting for responses or wiring a “human in the loop” step into agentic workflows. But that's evolving into continuous co-production: People and agents are shaping decisions, logic and actions together, in real time. Read on for a breakdown of the three forces driving this new paradigm. A unified ontology is just the beginningIn a recent shareholder letter, Palantir CEO Alex Karp wrote that “all the value in the market is going to go to chips and what we call ontology,” and argued that this shift is “only the beginning of something much larger and more significant.” By ontology, Karp means a shared model of objects (customers, policies, assets, events) and their relationships. This also includes what Palantir calls an ontology’s “kinetic layer” that defines the actions and security permissions connecting objects.In the SaaS era, every enterprise application creates its own object and process models. Combined with a host of legacy systems and often chaotic...