Thought Leadership on AI & Tech Leadership
Topics
Latest !nsights from our Experts
Including Tech in the Weekly Meeting · 5 Metrics for Companies with an Operating System
Your weekly scorecard probably has no technology line, and that is a design gap, not neglect. Add five technology numbers to the meeting, starting with baselines and thresholds. If the count is still zero by Monday, that is your first item on the Issues List.
The Control Group Is Gone · How to Prove AI Works When Nobody Will Work Without It
Once a team won’t work without an AI tool, you’ve lost the group you’d compare it against. Prove the value while you still can. Stagger the rollout, count work at intake, check what people say against your system records, and decide up front what result would change the plan.
The 9% Problem · What Your Board Actually Wants to See on AI
Your board is about to ask who is accountable for what your AI does, and how you would prove it. Nine percent of your peers could answer today. Build governance in the right order, and get an independent look at which stage you are in.
Cheap Tools, Scarce Judgment · Why Outside Expertise Has Never Been More Valuable
AI tools get cheaper every quarter, but the experience to use them well does not. That makes now the moment outside expertise is worth the most. Start small with an assessment or one month of advisory service.
If Your Tech Budget Looks Like Last Year’s, You Missed the Turn
Last year’s tech budget plus a percentage no longer works. What technology costs, how it is priced and who answers for it have all changed. Rebuild the budget row by row, and name who owns each decision.
Our 2026 Mid-market Analytics Maturity Survey
This annual benchmark shows how far mid-market companies in 18 industries have come in data, BI and AI maturity. The 2026 result is a structural lag behind enterprise, so check where your industry and revenue band stand.
Yes But We Need a Path · Innovating Beyond Efficiency vs. Singularity Teaching
A mindset without a path is a very expensive notebook. Singularity University’s Executive Program teaches why to think exponentially; Innovating Beyond Efficiency supplies the path from the why to the work. Take the why seriously, then build the path.
Trust Sold Your Last Deal · An Algorithm Is Scoring Your Next
Trust won your last deal, but an algorithm may score your next one before anyone calls you. Ask three questions this quarter about what an agent actually sees when it looks at you. Buyers who no longer pick up the phone are 38 percent of the room today.
The 2026 AI Dividend Map · 25 Industries, 4 Shapes
This annual map scores 25 industries against three customer gates and places each in one of four shapes. Find yourself twice, once for your market and once for the mix inside your own company. Then read what to do from your seat under each shape.
Shapes of the AI Dividend · Rising Bar vs. Falling Floor
Weighted by payroll, fewer than one in twenty-five jobs faces winner-take-all AI, but capturing the dividend is not keeping it. Find your shape, name the force closest to your margin, and learn whether the line is moving at working speed or buying speed.
Proving AI EBITDA · Metrics That Boards Actually Believe
When the CFO asks how you know the result was the AI, an aggregate number will not hold. Carry one measure all the way through, and take the baseline now. A before-picture cannot be recreated later, only argued about.
Technology Can’t Transform the Business Alone
Technology teams cannot transform a business alone, because much of what decides success sits outside them. The CIO is accountable for the outcome without owning most of it. A major transformation creates a temporary organization inside the permanent one, and leading it takes influence rather than authority.
Team “Still Not Ready for AI”? · Readiness Is Designed, Not Awaited
Waiting for your team to be ready for AI misreads readiness, which organizations design rather than wait for. The earlier deferral was right, and starting now is right too. Treat readiness as design work your leadership team already knows how to do.
Your Next Customer Won’t Be Human · MCP and the Rise of Agent Docks
Your next customer will probably arrive as software, a buyer’s agent that already tries to read your company and gets it wrong. Build an Agent Dock so those agents find current facts and terms. Do it while traffic is light.
Orchestrating an AI team
One AI assistant stops being enough as a workflow grows, so the work moves to specialized agents under orchestration. Each system still needs accountability above it. The future is an orchestrated AI team inside a business system built for measurable outcomes, with leadership deciding what good work means.
Maximizing Your AI Investment · From Efficiency Traps to Hybrid Intelligence
Stopping at efficiency is why so many AI projects fail to pay back. The winners use hybrid intelligence to augment the people who understand their industry and to rewrite its economics. They fund the effort with 18-month quick wins.
Traction or (Dis)traction? AI Strategy as a Lens for Alignment
The flood of AI announcements turns into distraction when you have not decided where you are going. Strategy is the lens that lets you check each new tool against the map in minutes. Decide your direction first.
The Best of Both Worlds · Balancing Citizen AI Exploration with Production AI Rigor
Citizen AI exploration and governance are two different organs, not opposite ends of a spectrum. Give people a license to explore, bounded by governance, plus a pipeline that promotes what works. Prohibition only breeds outlaw AI on personal accounts.
The AI Rorschach Test & the High Cost of Presumption
The leader who froze hiring on faith in AI and the leader who keeps it at arm’s length are both presuming, not measuring. The only way out is to start exploring. Run a pilot and measure one workflow.
From AI Strategy to AI EBITDA · The Board Shift Most Mid-Market Consulting Has Missed
Your board has moved from asking about AI strategy to asking where the EBITDA is in the CFO’s quarterly numbers. A strategy deck cannot answer that. Build an AI EBITDA narrative that traces the money, including where the AI dividend leaks.
Human in the Loop or Rubber Stamp? · Achieving Real AI Oversight
If your reviewer just glances at AI output and clicks approve, you have a rubber stamp, not a human in the loop. Real oversight is one of the highest-return AI moves, and the back office is the right place to start.
Last Year Your Competitors Subscribed to AI Tools · Now They’re Hiring Them
AI has shifted from a per-seat tool to something closer to a hire, and this transition is bigger than the last. The window where it is an advantage rather than table stakes is open now, and it will not announce its closing. Start deciding what your AI workforce should look like.
Innovation is a Process · What 3 Months of Successful Production AI Actually Looks Like
Most CEOs cannot picture the next ninety days of their AI program, because every version they were sold is shaped like a project. Replace it with a three-month process: map the field first, then build the freeway and harden one real thing, then prove it.
The Answer Is Cheap · Adoption Is What Costs You, Even More Now Than It Always Has
A frontier model can draft your AI strategy in 2 minutes, so the answer is cheap. Adoption is what costs you, and it always was most of the cost. Budget for adoption excellence, not for answers.
Chips on the Table with our Clients
In most advisory relationships only the client has money at risk. Innovation Vista will put its own stake on the table when an engagement earns it. Ask any advisor, including us, what they would put at risk.
Your AI Dividend Is Going to the Wrong Bank Account
The AI dividend is the difference between what work used to cost and what it costs now, and someone else is probably banking yours. It leaks through unexamined structure, and competitors capture it through restructuring you have not done. Make your own map of where it goes.
The Last Tech Wave Rewarded Waiting for Vendors · This One Won’t
Letting your vendors figure out AI for you was the right posture for thirty years, but it stops working now. The vendor will still win some ground, but nobody will build for you what competitors cannot copy by buying the same software.
The AI Earthquake · Why Your Old Map Doesn’t Match the Territory Any More
Your company navigates by a map of assumptions about costs, margins and what is possible, and AI is quietly making it stale. When answers become free, questions become the advantage, so stop polishing yesterday’s routes. Redraw the map before a competitor does.
There’s an Order of Magnitude Leap for Sale in Your Sector
An order-of-magnitude leap in capability is now for sale at roughly the price of electricity. The open question is who in your industry uses it first. A leap you can simply buy is not a moat, so even skeptics need to move.
Patience-Flavored AI Paralysis May Kill Your Company
For three years, waiting on AI was discipline; now it is paralysis that can kill your company. The reasons to wait were real: deafening hype, expensive money pits and tooling that was not ready. Find out where your industry is moving and take the disciplined next step.