Briefings on running a company with AI: marketing, operations, finance and the back office, and turning what you know into a product.
AI SaaS is subscription software whose core work is done by an AI model, usually a foundation model from a provider such as OpenAI, Anthropic or Google, called through an API and wrapped in a product that does one job for a defined customer. The model supplies general capability. The product supplies everything the model…
A micro-SaaS is a small software-as-a-service business that solves one specific problem for one narrow group of customers, run by a single founder or a handful of people and usually funded by its own revenue rather than by investors. The “micro” describes the scope, not the ambition: one job, done well, for people who will…
A productized service (productised, in British spelling) is a service sold the way a product is sold: a named outcome, a fixed scope, a fixed price and usually a fixed timeline, delivered by following the same method every time. The client buys a known thing instead of commissioning a bespoke project, and the provider stops…
To productize (productise, in British spelling) is to turn something you deliver case by case into something defined, priced and repeatable that a client can buy without it being designed from scratch. For an expert or a firm, it means taking what you know, the way you diagnose a problem, the steps you always follow,…
AI for social media means using AI to run the part of social that is a production problem rather than a creative one: turning one idea into the formats each platform wants, keeping a cadence that does not collapse when the week gets busy, drafting variants, and reading what the audience actually responded to. It…
AI accounting is the use of AI to do finance work: reading invoices, matching them to purchase orders, coding transactions, reconciling accounts, flagging anomalies, and drafting the reporting that closes a month. Some of that is genuinely solved and in production at scale. Some of it is a demo with a confident voice. The difference…
AI for project management means using AI to do the administrative half of running projects: collating status, writing the update, surfacing the risk nobody flagged, keeping the plan and reality in the same document. It is the least glamorous application of AI in a company and probably the one with the shortest path to a…
AI workflow automation is wiring a business process so it runs from trigger to outcome on its own, with AI handling the parts that used to need a person: reading an unstructured document, classifying a request, deciding which of four paths applies, drafting the reply. The distinction that matters is not AI versus no AI….
Business process automation is the use of software to run a process end to end, from trigger to outcome, without a person carrying it between steps. AI changes what can be automated, because processes that used to break on judgment calls, unstructured documents and messy exceptions are now partly tractable. It does not change the…
AI copywriting is the use of generative models to produce marketing copy: ads, landing pages, emails, product descriptions, sales pages. It works, it is fast, and its default output will quietly erase the thing that made your copy worth reading. That is not a flaw in the tools. It is what the tools are built…