Hello, I’m Desh. I founded iBridge over 20 years ago, and in that time our global team has built a track record I’m proud of: turning messy, complex information into results our clients can act on. We’ve helped customers outpace their competition and adapt fast when their markets shift underneath them. I’d love to talk through what’s on your plate right now. If you’re wrestling with a business-critical issue, trying to map out where the complexity is coming from, tighten operational control, or get a clearer read on what’s happening in your data—let’s put 30 minutes on the calendar. I’ll walk through what I’m seeing and where I think you can find the leverage you need.
Why the maker could not build a creature that only does good The obvious objection to my first installment in this series goes like this: if a maker knew things would go sideways with their creation, why not build creatures that simply could not do harm? Remove the option. Problem solved. The biblical story answers […]
Post 1: The Frustration of the Maker Why is everyone surprised? Read enough AI headlines and a pattern emerges. A lab builds something remarkable. Somehow or someone finds a way to make it misbehave. The lab is stunned, then frustrated, then ships a patch and a statement. A model gets jailbroken, or invents a court […]
On September 29, the leaders of OpenAI, Anthropic, Google, Meta, Nvidia and SpaceX AI stood at the White House and signed a voluntary AI safety accord. The companies promised four things for their most advanced models: internal monitoring of capabilities and risks, an internal team to verify that the controls work, independent external audits, and […]
If you or your organization has anyone touching ChatGPT, Copilot, or a similar tool in connection with anything that could become a dispute, a contract negotiation, an HR matter, a safety incident, whatever, those conversations may already be evidence you’re obligated to preserve. Right now, you won’t know what a court will require until you’re […]
The most dangerous moment in any transformation is when leaders assume someone else will eventually define the rules. The debate in Washington over AI regulation may continue, and reasonable people will disagree about how much government oversight is appropriate. But for business leaders, I believe the practical message is much simpler: we cannot outsource accountability. […]
Ask any organization running AI in production a simple question: “Who approved this, and what did it actually do?” For a single prompt to a chatbot, most can eventually answer that, even if the answer is embarrassing. For an AI agent making autonomous decisions across a workflow, most can’t answer it at all, and the […]
On August 2, 2026, the EU AI Act’s high-risk obligations became fully enforceable. Organizations running AI systems in employment decisions, credit scoring, insurance underwriting, and other regulated domains are now legally required to prove, not just claim, that those systems are documented, monitored, and subject to human oversight. If you operate using AI in the […]
The AI governance conversation usually runs on hypotheticals. A menagerie of projected risk, theoretical exposure, and “what could go wrong.” The legal industry doesn’t have that luxury anymore. It has a body count. Court sanctions for AI-generated fake citations have now topped 1,031 cases globally, and the pace is accelerating: 30 to 50 new cases […]
Two years ago, California struck a deal to save employers from themselves, or so the press releases said. AB 2288 and SB 92 were sold as a truce: tiered penalties, cure processes, an end to the free-for-all. The reform didn’t fail; it succeeded at something other than what the press releases promised. The sales pitch […]
