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10/04/2026

Anthropic's Claude Managed Agents simplify agent development, removing infrastructure hurdles.

Learn how!

09/04/2026

If half of the internet isn't human, what's the point?

When I found out that 88% of clothing reviews might be fake and 43% of Amazon reviews are believed to be AI-generated, I couldn't stop thinking about the implications.

The platforms know it, yet proceed with face verification and data deals, all in the name of protection.

But who benefits from this extra layer of scrutiny?

As AI continues to generate content, our clicks are increasingly aimed at shadows.

So, what's your take, fight AI with more AI, or is it finally time to question how much of ourselves we want to give up in this digital theater?

UK immigration judges are now using Microsoft Copilot to draft asylum decisions.Yes you read that right…The tool that Mi...
07/04/2026

UK immigration judges are now using Microsoft Copilot to draft asylum decisions.

Yes you read that right…

The tool that Microsoft’s own terms of service describe as being “for entertainment purposes only” is now helping decide whether people get to stay in a country or get sent back.

140,000 cases are backed up. So the solution is to hand skeleton judgments to an AI that has been known to reflect societal biases and produce inaccurate outputs. Those aren’t my words. Those are from the critics and, frankly, from Microsoft’s own documentation.

I use Copilot. I like Copilot. I use it to brainstorm ideas and draft emails I’m too tired to write at 11pm. You know what I don’t use it for? Deciding the fate of human beings.

A legal opinion from the Open Rights Group already concluded this risks breaching human rights and data protection law. And still, hundreds of tribunal judges got trained up and sent on their way.

I keep imagining the moment someone’s asylum case gets a hallucinated legal precedent dropped into the skeleton judgment. And nobody catches it because there’s a backlog of 139,999 other cases to get through.

We wanted AI to handle the boring stuff so humans could focus on the things that matter. Somehow we ended up doing the exact opposite.

At what point did entertainment purposes only start including people’s lives?

27/03/2026

Are your AI agents working?

Adding more sign-offs doesn't reduce risk.If anything, they drive risk underground.I've watched this pattern repeat, ove...
20/03/2026

Adding more sign-offs doesn't reduce risk.

If anything, they drive risk underground.

I've watched this pattern repeat, over and over. Companies layer approval processes to protect the business. Customer comms need three levels of review. Credit decisions route through five stakeholders. AI use cases stall in committees.

The intent is good, but the outcome is brutal.

As a result, teams stop asking permission. They work around the system. They create shadow systems to bypass slow decisions. The most critical decisions happen in shadow workflows where there's zero visibility and zero auditability.

Governance doesn't have to create bottlenecks. It needs better architecture.

Three patterns that protect compliance while amplifying speed:

→ Guardrails over approvals
Define constraints up front. Teams move fast within boundaries. No waiting for sign-off on decisions that fit the guardrails.

→ Tiered risk pathways
Not everything carries the same risk. Customer comms about billing? Fast lane. Credit model changes? High-scrutiny lane. Match the friction to actual exposure.

→ Auditability by design
Log the decision and the rationale in real time. You don't need five approvers if you can reconstruct why the call was made.

This isn't theory. Apply it to workforce scheduling, AI-generated customer responses, or risk model adjustments. To move faster doesn't mean you need to get rid of governance. What you need is governance embedded in the workflow, not bolted on top or as an afterthought.

Start here...
Take one governance policy this week. Rewrite it as guardrails plus escalation rules.

Decisions will move faster. And safer.

18/03/2026

This week in had a lot going on.

A Turing Award winner publicly betting a billion dollars that the entire industry is wrong.

A lab losing nine of its eleven founders and calling that normal.

Coding agents that start working before you even open your laptop.

And three research papers that quietly asked whether any of us are testing these things properly.

Episode 5 of is out... check it out.

Late stage deal stalls don't come from objections.They come from anxiety you didn't map.Your CRM won't tell you that Dig...
13/03/2026

Late stage deal stalls don't come from objections.

They come from anxiety you didn't map.

Your CRM won't tell you that Digital transformation deals multiply stakeholder count. AI uncertainty, career risk, fear of disruption anxiety compounds faster than your pipeline updates.

Your forecast tracks stage movement, it doesn't track who's quietly terrified and paralised to make a decision.

So what can you do instead to predict deal risk better than your forecast call?

Try theInfluence x Anxiety Map.

A simple 2x2. Four quadrants. One action per box, weekly.

→ High Influence / High Anxiety:
Needs risk reversal. This is your blocker hiding behind "let's revisit next quarter". Give them proof, peer validation, a safe exit if things go wrong.

→ High Influence / Low Anxiety:
Needs strategic narrative. They're bought in but need ammunition for the management discussions. Arm them with ROI logic and competitive positioning.

→ Low Influence / High Anxiety:
Needs reassurance and enablement. They're vocal in late meetings because they're scared, not because they're blockers. Give them clarity on what changes for them personally.

→ Low Influence / Low Anxiety:
Keep informed.

Most silent 𝗻𝗼 dynamics happen because someone in the High Influence / High Anxiety quadrant never got what they needed to feel safe saying 𝘆𝗲𝘀.

Map it once, run it weekly and watch your forecast accuracy improve.

11/03/2026

Nobody cares.

I spent four days at MWC, last week... AI was on absolutely everything.

Yet the gap between where the technology actually is and what people understand about it? Wide and getting wider.

Everyone was too busy surviving the schedule to really do anything about. And this is not something I observed during the conference only... this is something happening every day.

I came home and realised my AI avatar probably had a better week than I did.
So this week I let her interview me about it.

07/03/2026

Most margins don't vanish overnight. They bleed out slowly through broken workflows. And by the time you notice, your competitors have already moved ahead. I've worked with messaging teams who believed their ex*****on was solid. Revenue looked fine. Teams stayed busy. But three patterns kept surfaci...

04/03/2026

I'm at MWC this week and one thing became very clear before I even landed in Barcelona.

When Apple announced Gemini will power Siri, everyone focused on which AI model won the deal.

But that's not the story, not for me.

Apple kept the user. Apple kept the data. Apple controls what Google sees and when. Google gets paid to run inference in the background. Powerful, yes. But not in control.

That dynamic is exactly what I keep hearing in every conversation at MWC this week. Telcos watching hyperscalers capture the value from AI traffic running over their networks.

Governments pushing for sovereign AI infrastructure. Operators building APIs so they don't end up as the invisible pipes again.

The model race gets all the attention. But the infrastructure race, who owns the platform, the customer, the data, that's what actually determines where the money goes.

And right now, the companies carrying the load are not the ones capturing the value.

, your favourite synthetic provocateur, breaks all of this down in this week's , while I'm stuck in back-to-back meetings.

If you're at , come find me.

25/02/2026

Every time I look at industry news this week, Anthropic was in the headlines.

Different headline, different crisis, but the same company.

In the span of seven days, they launched a model that outperforms their own flagship, got threatened by the Pentagon with a designation usually reserved for foreign adversaries, and revealed that three Chinese labs had been systematically stealing their capabilities through 16 million fake conversations.

The Pentagon story is the one that I find more interesting. Anthropic drew two lines, no mass surveillance of Americans and no fully autonomous weapons.

Every other major lab has already dropped their guardrails for military use. Anthropic is the last one holding.

And the response from the Department of Defense? Play ball or we'll force every company that works with you to cut ties.

You can't help but wonder what it actually means to build AI responsibly when the people buying it don't want responsibility built in. I don't think this type of tension is going away, I think it'll define this entire industry for years.

breaks the whole thing down in this week's .

What would you do in Anthropic's position?

20/02/2026

Famous last words.

Ex*****on mode is often just code for "we're flying the plane while building it."

Tag a teammate who needs this trigger warning.

*****onMatters

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