There is a version of my morning that used to look like this: open Google News, scroll through headlines, check three or four industry sites, skim a few articles, decide most of them were irrelevant, bookmark the one that mattered, then forget about it because something urgent came up.
Sound familiar?
Staying informed is one of those tasks that feels productive but rarely leads anywhere. You spend the time, you absorb the noise, and by the end of the week you could not name three things that actually matter to your business.
So I built something to fix it.
The problem with staying informed
The complaint is always the same. There is too much noise and not enough signal.
Google Alerts sends you everything vaguely related to your keywords. Most of it is irrelevant. News aggregators like Feedly give you a cleaner feed, but you still have to read everything yourself and decide what matters. And if your week gets busy (which it will), the whole thing falls apart.
The real cost is not the subscription to a news tool. It is the hours spent reading things that do not change anything. Research from the Chartered Management Institute suggests that UK managers spend between two and five hours per week just trying to stay current with their sector. That is roughly £2,000 to £5,000 a year in time, depending on your salary, spent on something that could be handled by a machine.
The bigger cost is what you miss. The regulation change you did not spot. The competitor move you heard about too late. The industry shift that everyone else saw coming.
What we actually built
On our website, there is a section called Smart Signals. If you visit it right now, you will find short, focused articles about developments in artificial intelligence, automation, and business technology.
Here is the thing. Nobody writes those articles manually.
The entire section is powered by an automation that runs three times a day. It monitors eight different news sources, uses artificial intelligence to judge whether each story is relevant to UK businesses, writes a plain-English summary with a clear “what this means for you” angle, and publishes it directly to the website. No human touches it between the news breaking and the article going live.
It is not a gimmick. It is a working system that keeps our website fresh with relevant, useful content while we focus on actual client work.
How the pipeline works
The system follows a straightforward sequence. Think of it as a production line where each stage does one job.
Stage one: Monitor. Eight news feeds from sources covering artificial intelligence, automation, UK business, and technology are checked automatically. The system pulls in anything published in the last 48 hours and caps at ten articles per source to avoid being overwhelmed by high-volume feeds.
Stage two: Deduplicate. Before anything gets judged, the system checks against every story it has already published. It matches on web addresses and uses fuzzy title matching to catch the same story reported by different outlets. No repeats.
Stage three: Judge. This is where it gets interesting. Each story is scored by an artificial intelligence model against a set of criteria: Is it relevant to UK businesses? Is it actionable, not just theoretical? Is it recent enough to matter? Stories below the threshold get discarded. The ones that pass move forward.
Stage four: Write. The surviving story gets written up in a conversational, practical style. Not a copy of the original article. A fresh take that explains what happened and why a UK business owner should care. Each piece includes a clear takeaway and a practical “what you can do about this” section.
Stage five: Publish. The finished article is deployed directly to the website. The site rebuilds automatically, and the new story appears on the Smart Signals page within seconds of being written.
Stage six: Log. Every published story is recorded in a spreadsheet. This feeds back into the deduplication step, creating a closed loop that prevents the system from repeating itself even across multiple runs in the same day.
A note on the human in the loop
If you have read any of our other articles, you will know we usually advocate for a human review step in any automation. Someone checking the output before it goes live. So why not here?
Two reasons.
First, this system is summarising content that already exists. It is not generating original claims, making promises, or writing on behalf of a client. Every story is based on a published source, and that source is linked in the article. If the original reporting is wrong, the summary will reflect that, but the system is not adding fabricated information.
Second, this is deliberately a test. We wanted to see what a fully automated content pipeline looks like when you set strict quality criteria and let it run. The AI judge acts as the quality gate. Stories that do not meet the threshold never get published. It is not a perfect substitute for human judgement, but for summarising already-published news, it does not need to be.
For anything that involves original thinking, client-facing communication, or claims about our own services, a human reviews it. That line is deliberate.
The filter is the important part
Anyone can set up a news feed. The part that makes this useful is the filter.
Without artificial intelligence doing the judging, you just end up with another firehose of content. The system we built is opinionated. It has a clear brief: only surface stories that a UK business owner with more than ten employees would find genuinely useful. Everything else gets binned.
That means no Silicon Valley hype pieces. No academic research papers. No announcements about products that are not available in the UK. The filter is aggressive, and that is the point.
In the first day of running, the system processed over forty stories from eight sources and published three. That is a 93% rejection rate. Which is exactly what you want when the goal is signal, not noise.
Beyond a website: where else this could go
Publishing to a website is just one endpoint. The same pipeline can send its output anywhere.
Morning team briefing. Imagine your team getting a short email at 8am every morning with three bullet points about what happened in your industry overnight. No login required. No app to check. Just the headlines that matter, written in plain English, sitting in their inbox when they arrive.
Client updates. If you work in a sector where your clients expect you to be across the latest developments, this is a quiet way to demonstrate it. A weekly digest email showing you spotted the regulation change, the competitor announcement, or the market shift before they did.
Internal knowledge base. Instead of publishing to a public website, the output could feed into a company wiki or shared document. Over time, you build a searchable archive of everything that mattered in your sector, filtered and summarised.
Social media. The same story that goes to the website could also generate a LinkedIn post or a short summary for your company Facebook page. Different format, same source material.
The point is not the destination. It is the pipeline. Once you have a system that monitors, filters, judges, writes, and delivers, you can point it at whatever channel makes sense for your business.
What this actually means for a small business
Let me be direct about what this is and what it is not.
This is not a replacement for reading. You still need to stay curious and engaged with your industry. What it does is remove the drudge work. The daily trawl through irrelevant headlines. The guilt of falling behind when a busy week hits. The nagging feeling that you are missing something important.
For a business with more than ten employees, the applications are practical:
Operations managers who need to brief their teams on regulatory changes or industry developments without spending their evenings reading news sites.
Business owners who want their website to stay active and relevant without hiring a content writer or spending their Sundays writing blog posts.
Client-facing teams who want to show up to meetings knowing what is happening in their client’s sector, without relying on memory or last-minute Googling.
The automation handles the grunt work. The human still makes the decisions about what to act on.
See it working
If you want to see what the output looks like in practice, visit our Smart Signals section. Every article on that page was created by this exact system. No manual editing, no scheduling, no copying and pasting between tools.
The tools to build something like this exist today. Self-hosted automation platforms can connect to news feeds, run artificial intelligence models, and push content to almost any destination. The setup is a one-off project. Once it is running, it looks after itself.
If you are wondering whether something like this could work for your business, whether it is a morning briefing for your team, a client update email, or a news section on your website, get in touch. We are happy to walk you through the options.