Most organisations that have experimented with artificial intelligence over the past two years share a quiet frustration: the pilot worked, and then nothing happened. The demo impressed the steering committee, the proof-of-concept delivered a promising accuracy metric, and the project quietly moved to a backlog where it has remained ever since. The phenomenon is common … Read more
For much of the past two years, enterprise AI conversations have centered on a single question: which model should the business use? As agentic AI infrastructure moves from proof-of-concept into live production environments, that question is giving way to something considerably harder — how to govern the cost, data exposure, and infrastructure underlying autonomous AI … Read more
Before an AI agent can automate a task, it needs to understand how that task is actually performed. That gap between how work is documented and how work is done has quietly been one of the largest obstacles to meaningful agentic deployment — and a recent $63 million Series C raise by process intelligence firm … Read more
When a company best known for website building launches a standalone agentic AI platform, it signals something important: multi-agent orchestration is no longer the exclusive territory of enterprise software vendors. Wix’s announcement of Symphony marks a deliberate move into business operations automation — and the implications stretch well beyond the website builder category.What Symphony Actually … Read more
Most artificial intelligence applications tolerate a margin of error. Tax compliance does not. Avalara Inc.’s deployment of agentic AI for real-time transactional tax calculations offers one of the clearest stress tests yet of what autonomous agents must deliver when ‘close enough’ is simply not acceptable — and the lessons extend well beyond the tax industry. … Read more
When the corporate venture arm of one of the world’s largest financial services companies writes a check into an AI-native accounts receivable platform, it is worth reading carefully — not for the dollar figure, but for what the investment thesis reveals about where autonomous agent deployment is heading inside enterprise finance. What Fazeshift Actually Does … Read more
A recurring assumption in enterprise AI deployments is that performance gaps close by upgrading to a more powerful model. New research from Coral AI Labs and several university collaborators challenges that assumption directly. A structured multi-agent coordination layer outperformed a single, more advanced model on a demanding benchmark — not by spending more compute, but … Read more
The prevailing assumption in enterprise AI has been relatively modest: one engineer, one agent, one workflow. Stanford’s Virtual Biotech project — a system running 37,000 specialized AI agents that autonomously designed a lung cancer therapeutic later independently validated by Merck — makes that assumption look antiquated. The implications reach well beyond pharmaceutical research.From Single Agents … Read more
A quiet but consequential shift is underway in financial services. When a cloud banking platform embeds an open-source communication standard directly into its mortgage suite, it signals something larger than a product update — it marks a structural change in how AI agents are permitted to operate inside regulated workflows. nCino’s introduction of Mortgage MCP … Read more
As autonomous AI agents move from controlled pilots into live production environments, the question of who — or what — authorises an agent to act is no longer theoretical. Daon, the Digital Identity Trust Company, has been granted its third patent specifically targeting agentic AI governance, and the timing reflects a broader industry inflection point: … Read more