Rochelle Blease is the president of G2 Risk Solutions, a global risk management firm.
The temptation for companies to overstate product and service outcomes has arguably never been greater. In a market that rewards speed, novelty and boldness, external-facing teams are under pressure to position their solutions as the magic bullet their industry has been waiting for.
Compounding the issue, many go-to-market (GTM) teams themselves aren’t buying the claims they’re asked to sell. Look no farther than the black-box nature and wildly inconsistent outcomes of AI as one explanation. In a recent global survey of 900 professionals, nearly half (42%) said they believe their own companies’ AI claims are exaggerated.
Such AI skepticism can actually be healthy when it provides a real stress test of corporate credibility. It pushes companies to face hard truths and double down on what’s becoming a non-negotiable capability of the AI era—integrity.
Integrity When Everyone Is Watching
I was brought up to understand integrity as doing the right thing, even when no one is watching. Of course, that was during a time when it was plausible that no one was watching. Leaders now make decisions under ever-intensifying visibility and scrutiny.
When all eyes are on you, positioning your organization as unquestionably ahead of the curve can be tempting. But in periods of rapid change, leaders who earn trust are rarely the most self-assured. Executives who openly acknowledge complexity and are candid about limitations cultivate a much stronger internal culture. One leadership study found that leaders who were honest about feeling uncertain were often viewed as more competent.
Another evolving piece of integrity’s definition is “doing the right thing.” Organizations are racing to integrate AI, which can create tension between ethics and efficiency. Ever higher bars for performance coupled with undefined mandates to “use AI for efficiency” make it harder to do the right thing when doing so counters productivity goals. Consider a team that feels pressure to prioritize efficiency over customer data protections or to deploy automation that sidelines human expertise.
Ethical leadership can turn these pressures into opportunity, however. Leaders who create psychologically safe environments that encourage open communication make it easier for employees to speak up without fear of retaliation. In these environments, integrity becomes part of everyday decision-making.
Integrity In High-Stakes Environments
In my industry, integrity is incredibly important because of what’s at stake. Our company works on behalf of payments companies and online marketplaces, monitoring the global commerce ecosystem for illicit products and transactions that fund an array of crimes and public dangers. With billions of transactions flowing through the ecosystem daily, it’s a big job with serious ramifications.
A single judgment call on a suspicious transaction can stop a bad actor. Alternatively, a false positive could disrupt a legitimate buyer-seller relationship. That’s high-stakes territory for the ecosystem players that keep the digital economy running smoothly and securely.
We feel the pressure to move fast, be thorough and continuously innovate. At the same time, we know our work can’t rest on technology alone. Human judgement and good governance remain essential to our capabilities. In an environment where every decision has near-immediate consequences, integrity is the capability that allows our people to act with accountability (rigorously governed AI allows them to act with accountability at scale).
The same principle extends to our market-facing teams, who are encouraged to communicate transparently about what our technology can and can’t do, where we lean in on human expertise and how seriously we take our duty to protect global commerce and the people who trust it.
Payments, of course, is not the only industry in which speed and accountability must coexist. Across healthcare, banking, insurance and cybersecurity, both operational and customer-facing teams are expected to make fast, high-consequence decisions while communicating openly and honestly.
In each of these sectors, integrity can serve as something of a backstop, keeping the pressures of urgency and bold claims from overriding sound human judgment.
From Soft Skill To Core Competency
The good news is that integrity can be operationalized and coached.
That can follow a number of paths, from incentives to guardrails. The idea is to have a solid, yet adaptable, positioning strategy guiding how technology is deployed and discussed.
This can show up in different ways, such as frequent training of customer-facing teams on how to explain capabilities transparently. It could involve encouraging employees to challenge claims that are out of sync with functionality. It could mean offering greater incentives for long-term customer relationships vs. short-term wins.
To firmly root integrity into the core of their organization, leaders can start with an examination of the current state. A few questions worth asking:
• Is the team rewarded for performance alone or also for transparency and sound judgment?
• Do employees feel safe openly challenging external claims or AI-generated outputs?
• Are GTM roles trained adequately and frequently enough on how to communicate honestly about AI capabilities and product roadmaps?
• Do managers model humility and openness amid uncertainty?
These are just a few ideas to spark the conversation. The important thing is to start now. The imperative for the answers will intensify as AI adoption grows and stakeholders become savvier about separating truth from marketing.
The Reputational Risks Of AI Exuberance
In a very short period of time, leaders have gone from catching the occasional passing reference to AI to experiencing it as ubiquitous presence across all facets of life. The head-spinning shift has sparked a continuum of reactions, from doom and gloom to reckless exuberance. And we’re just getting started. How market perceptions and expectations evolve from here is anyone’s guess.
What we do know is that organizations will be judged by how they respond to those expectations. The companies that operationalize integrity, establishing psychologically safe cultures that reward AI transparency both internally and externally, will strengthen their reputations over time. Others run the risk of being remembered as the promise of yet another magic bullet that was actually nothing more than smoke and mirrors.
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