Category: Artificial Intelligence

Generative AI has moved past experimentation. In 2026, Indian businesses, especially SMBs and mid-sized enterprises, are no longer asking whether to adopt GenAI, but who can actually build it reliably. India has emerged as a serious global hub for Generative AI…

AI agents for customer support are rapidly becoming a strategic necessity for businesses that want to scale service operations without sacrificing customer experience. For global SMBs and mid-sized companies, rising support volumes, omnichannel expectations, and cost pressures are exposing the limits…

Generative AI is no longer a lab experiment or a side tool. In 2026, it’s infrastructure. Across the market, Generative AI Development Companies in the USA are being evaluated on one thing: whether they can deliver production-ready systems that actually work…

The debate around agentic ai vs generative ai isn’t academic anymore. It’s playing out inside real businesses that started with chatbots and copilots, and are now hitting a wall. What started as curiosity around chatbots and copilots has turned into a…

How AI Agents for Healthcare Compliance Enable Continuous Oversight Healthcare compliance rarely breaks because teams are careless.It breaks because manual oversight and static tools can’t keep pace with modern healthcare operations. For healthcare SMBs and mid-sized enterprises, compliance spans EHRs, billing…

Generative AI for software development is no longer experimental, it’s operational.Modern businesses aren’t testing AI in development anymore. They’re shipping production code with it. For SMBs and mid-sized enterprises especially, this shift is profound. Generative AI software development tools now automate…

Healthcare isn’t struggling because teams lack dashboards or reports. It’s struggling because too much work still depends on humans manually moving tasks across disconnected systems. Revenue cycle pressure is rising. Staffing shortages aren’t easing. Payer rules are getting tighter, not simpler….

Healthcare organizations are facing an inflection point. Documentation volumes are increasing, payer scrutiny is intensifying, and experienced revenue cycle talent is increasingly difficult to retain. At the center of this pressure is unstructured clinical data, progress notes, discharge summaries, operative reports,…

I often think back to my first AI projects and the sheer sense of possibility they held. Back then, AI was experimental, a collection of models built in isolation, solving very specific problems, often disconnected from the real workflows they were…

AI is becoming a natural part of how healthcare teams work, especially in RCM, where automation, predictive modeling, and conversational tools are quickly reshaping daily workflows.  But as these systems interact with patient data, hipaa compliance for AI healthcare immediately becomes…