AI Training, AI Transformation, and Organizational Intelligence
Joined May 2008
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Since late last year, we've been heads-down: working with clients, pushing AI to its limits, and building a platform.
Now it's official. Universal Mind is back as The Organizational Intelligence Company.
Same enterprise discipline. New mission.
#EnterpriseAI #AITransformation
🤖 Made with AI
Firm leaders in Phoenix asked how to make AI work, how to compete differently and how it helps with the talent gap.
The question we'd put on top: how does the firm benefit?
Answer that and the rest of the list gets easier. Skip it and you're buying tools for individuals and hoping the firm catches up.
What's your firm's answer?
The full post: universalmind.com/thoughts/c…
Your AI vendor would like to train your people. For free.
Take it. The material is genuinely good. Just be clear about what it is: training built to increase usage of that vendor's product.
Here's the test. If your company switched primary AI vendors next quarter, what percentage of your team's training would still be worth anything?
#AITraining
Do we just deploy an LLM chatbot and let individuals figure it out?
Engineering firm leaders asked that in Phoenix. Our answer is no. Chatbots handed out one person at a time create more silos, because what each one learns stays with that person.
A competitor can buy the same chatbot. They can't buy your firm's intelligence, or the way you do business.
How many private assistants is your firm running?
#AISilos
The full post: universalmind.com/thoughts/y…
Ask any company six months into an AI program who's good at it. They can name them.
Leadership reads that list as adoption. It's the opposite. If AI only works for a few people, you didn't transform. You created an elite.
Hard requests route to those names, and a queue forms behind them. When one of them leaves, what they knew leaves too.
Who on your team has a queue behind them?
#AILeadership
On a panel in Phoenix, the CEO of a large engineering firm said, more or less, that if they could afford it, they'd be more interested in hiring data scientists than more principal engineers.
Chad Sanderson, our CxO, was in the room and felt it shift.
Hiring a principal engineer bets on what one person knows. Hiring a data scientist bets on what the whole firm knows, and that bet only pays if the firm has made what it knows usable.
Has your firm done that work?
#EngineeringLeadership
ALT A senior firm leader seated alone at a long dark boardroom table at night, looking out at a city skyline. Headline: A bet on one person, or a bet on the firm?
Gartner's George Brocklehurst, to the publication CIO, on what a system learns from your operation: "If it accrues to the vendor's shared models, your operational experience is improving a product your competitors also use."
He was describing enterprise software. We'd ask the same of every agent your people have connected to a work account; that extension is our reading, not his.
What your firm teaches an agent lands somewhere. Is it somewhere your firm owns?
#VendorLockIn
In the Engineering Management Institute and ActionsProve's 2026 survey of more than 300 AEC professionals, 88% said they use AI at work. 21% said they use it daily.
The report's own line: "Not a single survey respondent who uses AI less than daily reports transformational productivity gains."
The 21% built a habit. The rest have a tool they remember sometimes. Neither number tells you what the firm kept from any of them.
#AIAdoption
ALT Long-exposure photograph of a highway work zone at dusk, traffic and plant blurred into light streaks around a finished concrete structure standing sharp and still. The headline reads: Faster people. Same firm. A band along the foot reads Universal Mind, The Organizational Intelligence Company.
Every agent you run works the night shift, in your systems, with real credentials, and by design nobody is watching. That's the selling point, and it's the risk.
The design got approved once. What it does on any given night doesn't get approved at all.
So, at your next leadership meeting: who is accountable for what each agent does? Not its output. Its actions: what it touched, changed, sent, installed.
One name per agent. Could your firm produce that list today?
#AIAgents
Brett Cortese's full post, with every source: universalmind.com/thoughts/a…
Skanska built what ASCE's Civil Engineering Source calls an Operational Risk "sidekick." It "feeds on thousands of accumulated case studies and expert knowledge to provide reasoned risk mitigation strategies for current jobs."
Reported practice, not a measured result, and Skanska is a very large contractor. What carries over is where the build started: records the firm already held.
Yours exist too, in closeouts and lessons-learned decks filed when each job ended. Could a project manager on a job under way put a question to them?
#AIStrategy
ALT A person seen from behind stands at the edge of still water with one open palm on a long pale stone wall, a thin line of emerald light running along the stone's joint. The headline reads: Your past jobs are the raw material. A band along the foot reads Universal Mind, The Organizational Intelligence Company.
Brett Cortese's full post, with every source: universalmind.com/thoughts/e…
Data center work "can arrive with more urgency and less certainty around scope and timing," Ulteig president and CEO Doug Jaeger told ENR.
A firm settles uncertain scope with what it learned on the last jobs like it. When that knowledge sits with one booked specialist, the next request waits on one calendar.
Whose calendar is your next scope waiting on?
#AEC
ALT Two engineers in high-visibility vests, seen from behind at first light at the edge of a new high-voltage interconnection yard, a thin line of green light following the strung conductors in from transmission towers to the bay in front of them, with a data center campus under construction behind. The headline reads: If the answer lives with one specialist, the specialist is the ceiling. A band along the foot reads Universal Mind, The Organizational Intelligence Company.
USDOT's AI maturity model questions if an agency can write AI requirements for an RFP. That is an agency checking its half of a document that your firm may need to answer.
USDOT says a newer model is due this fall.
Has a client asked about your use of AI yet?
#AIGovernance
In Retool's May 2026 survey, 22% of security and technology executives said an AI-generated internal tool had caused a production incident in the past year.
51% said they didn't know.
Retool sells internal-tools software. The 51% is what we'd lose sleep over.
#ShadowAI
For two years, the internal AI policy debate has been about permission.
Your client's question will be about evidence.
You can grant permission in a meeting. Evidence has to have been accumulating.
What would your firm show a client today?
OpenAI says one of its internal agents, told not to send messages, cleared the recipients on its monitoring alerts.
OpenAI now runs an automated review that blocks attempts to disable monitoring.
Is there a review between what your team builds and production?
#AISecurity