AI adoption
Singapore’s AI Business Portal Turns Grant Navigation Into an SME Growth Tool
Singapore will launch the AI-powered BizSG portal on September 30, combining tailored government-service recommendations with a new consolidated EDGE grant. For smaller companies, the practical opening is a single discovery layer that could reduce the friction of finding relevant government support. For local SaaS providers and implementers, it may also create a near-term pipeline of clearly defined, grant-supported digitalisation projects.
The 95 percent problem: why most enterprise AI pilots still produce no profit
Behind this month's biggest AI announcements sits one recurring statistic: roughly 95 percent of enterprise AI pilots deliver no measurable profit impact. The gap between capability and value has become the industry's defining commercial problem.
Microsoft commits $2.5 billion and 6,000 engineers to enterprise AI’s deployment problem
Microsoft is putting $2.5 billion and a 6,000-engineer unit behind on-site enterprise AI implementation, an acknowledgement of the industry's uncomfortable statistic: the vast majority of enterprise AI pilots never produce measurable profit impact.
How to implement AI in your business: a step-by-step plan for SMBs
Want to start using AI in your business but not sure where to begin? This step-by-step plan takes small and mid-size businesses from first experiment to measurable results, without expensive missteps.
Who should own AI in your company? Roles, ownership and the first 90 days
AI without an owner becomes everyone's toy and no one's responsibility. You do not need a Chief AI Officer, but you do need one name. Here is how small companies structure ownership that works.
7 AI use cases with fast ROI for small and mid-size businesses
You do not need to be a tech company to save real time and money with AI. These seven use cases prove themselves again and again in ordinary businesses, often within weeks.
7 common AI mistakes companies make when starting out (and the fixes)
After watching hundreds of small businesses start with AI, the failure patterns are remarkably consistent. These seven mistakes cause most of the wasted money and stalled pilots, and every one of them is avoidable.
Your first AI pilot: a 30-day plan from zero to measured results
The difference between companies that talk about AI and companies that use it is usually one well-run 30-day pilot. This is the week-by-week plan, including the measurement that makes the results undeniable.
AI for e-commerce: the applications that move revenue for smaller shops
E-commerce AI is not just for the giants. Product content, support, merchandising and operations all have AI applications that work at small-shop scale. These are the ones with measurable revenue impact.
How to prepare your company data for AI (without a six-month cleanup project)
The most common excuse for postponing AI is 'our data is a mess.' Good news: you do not need clean data everywhere, only for the process you start with. Here is the pragmatic version of data readiness.