AI Economics series
Original practical frameworks covering cost, deployment, agents, Human + AI workflows and model routing.
Article categories
Our articles share practical thinking on enterprise systems, AI implementation, digital operations and workflow improvement — drawing from our experience working with Hong Kong organisations.
Search ranking and AI citation are different discovery paths. A robots.txt Disallow, a WAF rule or a CDN 403 in front of GPTBot, ClaudeBot or PerplexityBot means the rest of your content investment is never cited.
Since 2004, we have managed enterprise email campaigns and repeatedly heard that teams wanted a tool they could operate themselves. That need led us to build SendPromotion.Email.
A new website addresses your external presence; digital transformation goes deeper — workflows, data, processes and operating models.
Evaluate whether private AI deployment fits your organisation — data sovereignty, cost structure and operational readiness.
Clarify document sources, access controls, answer traceability and update workflows before implementation — five key questions for enterprise AI knowledge bases.
Start with repetitive Q&A and a focused document scope — then pilot a knowledge assistant before scaling.
Identify the right starting point for workflow automation — high-impact, repetitive processes to automate first.
Clarify ownership, update cadence and CMS workflows before launch — template and permission design drives long-term cost.
Practical guidance on restructuring service pages for SEO and conversion — information architecture, content and CTAs.
When data must stay in-house, on-prem AI can fit — but it requires clear use cases, integration and operational capacity.
Leads often break between forms, CRM and follow-up email — here is where it goes wrong and how to fix it.
These articles share practical observations. If you already have a website, system or AI scenario, talk to us about scope.
