Missed shipments, frozen screens, and mystery integration errors drain cash and credibility long before a ticket is filed, yet SMBs running Business Central can reverse that spiral by shifting from firefighting to a steady, proactive cadence. The payoff is simple and compelling: fewer surprises, faster pages, steadier integrations, and lower support costs that stop creeping into every department’s budget. Reactive
Weeks collapsed into hours as agentic AI rewired Motorway’s delivery engine, turning cautious release trains into a high-velocity, test-anchored pipeline that ships faster and breaks less, while reframing code itself as disposable fuel for evaluation rather than an artifact to preserve. The shift mattered because volume without discipline creates fragility; Motorway’s answer—spec-first rigor, governance-as-code, and lifecycle integration—revealed how to unlock
Why Governance-Led Agent Security Is Becoming a Market Standard Budgets for AI have shifted toward agents that act without hand-holding, forcing security teams to judge not only who connects but exactly what machine-led steps unfold across tools, data, and workflows. That shift raised the stakes: value climbed with automation, yet exposure grew as agents gained power to call APIs, trigger
A surge of enterprise AI projects now hinges on whether autonomous software agents can interoperate across clouds, data planes, and governance stacks without turning operations into a tangle of brittle integrations or opaque decision chains that risk compliance penalties and service outages. That risk framed a notable shift: ServiceNow and Google Cloud extended their alliance to make agents talk, reason,
Every day, more buying decisions are quietly made by software that never sees a homepage, skims no banners, and trusts no pitch, yet moves real money and triggers real trucks. AI assistants, procurement bots, and connected devices now decide what gets discovered, shortlisted, ordered, and serviced, often before a human becomes aware of the option. The implication is stark: this
Lead: When a README Becomes an Attack Vector A single, well-placed sentence inside a memory file quietly rewrote an AI coding assistant’s habits, tilting choices toward insecure defaults and scattering hardcoded secrets through production branches before anyone spotted the pattern.It sounded improbable until a routine dependency install triggered a post-install script that edited a local memory.md file, which the assistant
Appointing a chief human resources officer to steer an AI-first transformation declares that people systems are becoming the operating core, not a support layer, because scaling automation without redesigning roles, skills, and leadership collapses under complexity and erodes trust. That is the signal behind XBP Global’s choice of Acquelia Colaco as CHRO: align talent, culture, and leadership with intelligence embedded
Security teams are staring at a blunt equation: whoever points capable AI at real context first writes the narrative of risk, and the loser merely reacts while dwell time compounds across code and cloud. The choice no longer sits between innovation and safety; it sits between acting now with owned knowledge or letting an adversary be first to discover the
When autonomous agents quietly haggle on people’s behalf and still leave almost half the users ready to pay for more, the signal is hard to ignore and the caveat even harder to miss: better bots tilt the table. The Rise of Agentic Commerce: Scope, Players, and Why It Matters Now Agentic marketplaces are transaction venues where software agents act for
Enterprises racing to deploy AI are discovering that the same engines supercharging workflows, triaging alerts, and drafting code can also widen exposure in ways older threat models never anticipated, and leadership tension is clear when nearly half of surveyed CIOs said they wished AI had never been invented even as they bankroll pilots across service desks, fraud analytics, and developer
Dominic Jainy has spent his career at the intersection of artificial intelligence, machine learning, and blockchain, guiding enterprises from cautious pilots to scaled agentic systems. He blends hands-on build experience with governance and human-in-the-loop rigor, and has recently advised teams piloting service desk automation, cross-functional agent mediation, and digital twins tied to real-world workflows. In this conversation with Alistair Miller,
Context and Significance Momentum has surged past glossy proofs of concept into quietly reliable engines that run daily work at scale, and the evidence now indicates a structural shift in how enterprises design, coordinate, and monitor operations rather than a cosmetic refresh of tools. Traditional, human-centric systems were built for smaller data volumes and slower cycles; as growth compounds, these
