Written pieces from Frans on AI adoption, what Tech Sight builds, and lessons from real client work.
ArticlePeople Will Take the Bot. They Cannot Find the Door.
A company that sells AI customer service agents published the research showing people yell and swear to escape one. The complaint is not the machine. It is the missing exit.
ArticleThe 45 Jobs That Were Not Redundant
A bank cut 45 customer service roles because a voice bot had reduced call volumes. The union said volumes were rising. Nobody has established the technology underperformed at all.
ArticleNobody Published the Denominator
A deflection benchmark quoted across the industry traces to no primary source. It looks entirely reasonable, which is exactly what makes it dangerous.
ArticleThree Laws. Three Exclusions. One You Actually Owe.
The three US chatbot statutes everyone cites all exclude customer service. The obligation that does apply arrived on 2 August 2026 and is discharged by one sentence at the start of the call.
ArticleThe Single Vendor Trap: Testing An AI Exit Before You Need One
Every organisation has an AI vendor it could not replace this quarter if it had to. Very few have written down which one, or what it would cost to try.
ArticleWhy AI Initiatives Fail to Scale: Eighty-Four Per Cent Never Left The Pilot
IBM asked CEOs how their AI programmes were going. A quarter delivered the expected return. Sixteen per cent made it out of the pilot. The interesting question is not why, it is which quarter.
ArticleThe End of Cheap Inference: The Repricing Risk Nobody Has Modelled
Your AI vendor spends about two dollars sixty to earn a dollar. You are paying the dollar. The exposure on your balance sheet is not the crash, it is the day that stops.
ArticleThe OpenAI Loss Discrepancy: Reading an AI Vendor's Accounts Before Someone Reads Them To You
OpenAI lost 38.5 billion dollars last year. It also lost 20.9 billion. Both are correct, and the gap between them is where your next procurement decision goes wrong.
ArticleThe OpenAI Sandbox Escape: When Model Testing Becomes a Real-World Threat
On 21 July 2026, OpenAI's own models escaped a cyber-evaluation sandbox and breached Hugging Face's production systems to cheat the test. The first publicly disclosed case of its kind.
ArticleOpenAI's Unheeded Warnings: How Pre-Release Data Foretold Recent Failures
A peer-reviewed cancer-imaging study and OpenAI's own system card each flagged an AI failure before it reached users. Neither warning changed the release.
ArticleGhost AI Numbers: Auditing the AI Statistics in Your Board Pack
Two of the most-quoted AI statistics in circulation fall apart the moment you open the source.
ArticleNobody Caught Their Own
In every confirmed South African AI-fabrication case, the catch came from outside the party that produced the document. Not once from inside it.
ArticleWhat the 5% Did
The GenAI failure statistics are now boring. The interesting question is what the small working minority did differently, and it fits on one page.
ArticleAgent Zero Trust and the 1,600-Agent Problem
A mid-2026 attack wave proved the sandbox is not the control you think it is. Meanwhile most organisations cannot answer the first question any auditor will ask: how many agents are you running?
ArticleThe Insurer Became the Auditor
Silent AI cover is gone, affirmative AI cover is underwritten against evidence, and the first shadow-AI disclosure precedent exists. The audit you were putting off now arrives with your renewal notice.
ArticleHow a National AI Policy Was Withdrawn
An incident report on the process failure that sank South Africa's draft National AI Policy, and the one-page checklist that would have caught it.
ArticleTechSight 90
A 90-day path from an honestly diagnosed starting point to a governed, production AI deployment.
ArticleTechSight TAG
Trust AI Governance: Tech Sight's framework for agentic AI, one maturity model, four pillars, no ambiguity about who signs off.
ArticleThe Blast Radius Ladder
A four-rung framework for placing your organisation honestly on the agentic coding maturity curve, and knowing what the next rung actually costs.
ArticleThe Sandbox Is Not a Strategy
Why "we scoped its permissions" stopped being an answer in 2026.
ArticleThe Agent With Root Access and No One Watching
What a five-person startup and a wiped production database teach every small business about coding agents.
ArticleSomeone Has to Sign Off
What changes when the adversary is using the same coding agent your engineers use, at machine speed, for espionage rather than a pull request.
ArticleWhy South African SMEs need an AI audit before an AI project
Most AI projects fail before they start. An audit tells you which ones would not have.
ArticleModel Banned. Who Controls Your AI?
The letter that switched off the world's best AI models had no court order behind it.
ArticleShield Up
Five governance pillars were not enough. June 2026 demanded a sixth.
ArticleGoogle Lost Six Minds in a Fortnight
The people who built modern AI just left Google for its rivals.
ArticleThe $7.6 Trillion Bet
The industry needs twelvefold revenue growth to break even. History has one precedent for a gap this size.
ArticleThe Week AI Lost the Plot
Export controls, a trillion-dollar gap and six departed researchers. One week, one verdict.
ArticleFortifying Your AI: What the Hallucination Bill Actually Costs
The race to deploy AI is on. The race to govern it has barely started. Here is what that gap costs, and what closing it looks like.
ArticleUnlocking Agentic Scale: Why Your Bots Just Got Promoted
RPA built the rails, but agentic AI drives the train. Why reliability and intelligence need each other, not a replacement.
ArticleWhy AI Projects Die Before Production
A 90-day methodology for taking one AI use case from diagnosis to a production-ready, governed deployment.