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Automation is AI’s main business application, but its combination with human decision-making seems to be these five companies’ approach to success.
AI transforms how business leadership approaches decision-making. It does not replace human judgment but bolsters it by automating data analysis, clarifying blind spots, and accelerating research.
Teams may act on information faster with AI, but humans remain firmly in charge of the process.
AI in the High Stakes of Mid-Market M&A
For Capstone Strategic, AI is a double-edged sword. It can accelerate targeting with automatic data review, but it can also create friction by generating contextless responses, which then require human correction.
“Empathy and judgment are superpowers now,” says Brian Goodhart, the Director of M&A Advisory Services at Capstone.
He continues, “When we are dealing with a transaction, it is fundamentally a very emotional decision for the buyer and the seller. Those are the things that AI is not going to replace anytime soon.”
AI cannot understand the seller’s full situation because that includes non-financial factors like employee legacy and community impact.
Goodhart argues for embracing the human friction occurring during transactions. It is that friction, he says, that reveals the true motivations and concerns of sellers. This revelation helps advisors find the best outcome.
Automating Coaching Analysis With Client Trust
A “right-hand assistant” AI tool helps coaches at PowerUp Leadership automate session analysis and create expert-informed prompts during the session. The end goal is accelerated root-cause analysis.
Susan Power, the founder and CEO of PowerUp Leadership, explains: “The first question to the coaching client is, ‘Have you used AI to answer this question?’” Then she says, “We’ll share our screen, bring it up together, and use it as a catalyst for our thinking process.”
With analysis covered, coaches can focus on human connection.
Since AI is used in coaching sessions, PowerUp mandates client consent. It is built into coaching agreements.
The agreement informs and creates flexibility so that CFOs can request no AI use in their engagement.
Stress-Test With AI and Pay It Forward
The COO Solution addresses an operational gap US companies often run into during scaling. Projects, decisions, and demands grow, but execution support does not.
By providing fractional COOs, the company frees founders from day-to-day operations.
AI helps stress-test strategies by illuminating pros, cons, and blind spots. People then have a better understanding of how to apply the strategy.
The philosophy is deeper than that.
Derek Fredrickson, founder and CEO of The COO Solution, says, “Part of what I believe we do is, as it pertains to AI, what we’re learning and what we’re using is an open book to what we want to give to our clients. I want them to benefit from the learning curve that we’re going through.”
The company shares its AI playbooks with clients, building trust and potentially accelerating their own adoption.
The Enterprise-Level AI Decision Engine
“Sovereign AI” is an air-gapped system for secure data annotation trained on clients’ private data but secured with ISO 27001-certified on-site annotators. It comes from Centric and is never connected to the public internet.
Annotators cannot bring cell phones into the room where the system runs, and the system operates only on desktop computers.
Strict security aside, the internal AI tools of Centric, the company claims, have boosted productivity by as much as 40%. The elimination of communication loss and automation of research and pitch deck creation are cited as the source.
CEO Usman Khalid aims for the AI to become an enterprise-grade decision engine, saying, “Our decisions should be database decisions; they should not be opinions. When we talk about data-driven decisions, we can actually look at how a large chunk of data is interacting with something.”
In his opinion, “Better decisions are always data-driven decisions, never opinion-based.”
An AI-Intern With Human Oversight
College Recruiter deploys AI as an “intern,” using the program for analysis while maintaining human judgment in strategic decisions to avoid overautomating.
Founder and Chief Strategy Officer for College Recruiter, Steven Rothberg, says, “We didn’t want Claude to be a co-worker. We wanted it to essentially be a really good intern.”
He continues, “We would never have an intern make major decisions on campaigns, but we would want them raising a flag: I think we have an opportunity here, I think we have a problem here.”
The AI analyzes 100-150 campaigns, flags issues, and recommends adjustments. The team frequently overrides its judgment. If the AI suggests a 40% profit margin to fix pacing but the team knows the client’s needs, they may choose 50% to balance profitability with client information.
Supplementing Human Decision-Making
These five companies use AI in their operations primarily to automate tasks, speeding up project timelines and data analysis. None of them use AI without human oversight.
For most, AI remains a tool for human use rather than a replacement for human judgment. In fact, as AI becomes a standard in commerce and business, human insight combined with AI analysis presents an entirely new strategy.
