A custom GPT can be built, either in-house or via an AI
consultant, by uploading a company’s benefits guides, policies, and
FAQs into an organization’s private OpenAI workspace, where access can
be limited to employees only. By giving the GPT simple instructions like
“Answer employee questions about benefits in plain language,” the tool
becomes an easy, secure way for staff to get clear and consistent
answers about their benefits. 

2. Create safe reporting for workplace harm 

Traditional
HR reporting makes employees navigate complex hierarchies and risk
retaliation. AI-powered anonymous reporting systems can collect detailed
incident information, identify patterns across reports, and route
concerns to appropriate parties while protecting reporter identity. 

For example, AllVoices is an AI-fueled employee relations platform that offers an employee relations copilot, a whistleblower hotline and an anonymous reporting tool
to build trust and safety while also encouraging a culture of speaking
up when something is wrong. The beauty is the AI is customized to the
organizations systems, processes, and needs then it gathers anonymous
incident information, can guide employees through the submission process
and offer supportive resources, but doesn’t make decisions that stays
within human control. 

3. Establish low-risk feedback loops

Implement
micro-feedback through check-ins triggered by specific events like
meetings, high-stress phases, or team restructuring. This enables
real-time pattern recognition and intervention before problems
escalate. 

In my work coaching teams, I’ve seen how powerful this
intentional ongoing approach can be as it shifts behavior from dreading
the heavy annual review grading system to small lift, routine
experiences of being heard and valued. I gather insights from individual
coaching sessions and share aggregated themes with leadership,
protecting individual privacy while surfacing patterns to help address
systemic challenges before they become widespread problems.

While
AI won’t be able to reach the same level of depth and nuance as live
coaching with a human would, the ability to automate checkpoints that
are incorporated in larger team strategy will build trust and reduce
fear of experience sharing. Try leveraging engagement platforms like CultureAmp
that use AI to facilitate a continuous feedback loop by automating the
delivery of pulse surveys (short, focused check-ins that can be
triggered by specific events), providing real-time sentiment and theme
analysis of the results, and recommending next steps.

4. Act on early warning signs for interpersonal conflict

AI
can analyze communication patterns and misunderstandings before tension
becomes destructive. It can suggest resolution approaches, connect
people with mediation resources, and track effectiveness. Most
importantly, AI’s ability to identify and interrupt microaggressions can
help recipients validate perceptions and educate those causing
unintentional harm. 

Opre
is an AI-driven platform that uses meeting notes and other ongoing
communications to provide professional development recommendations and
recognize friction points. WorkHuman offers an Inclusive Advisor feature that identifies and mitigates unconscious bias in real-time.

5. Support self-discovery and team understanding

I
often guide clients through what I call “mesearch,” a process of
identifying a personalized leadership profile through assessments and
reflection that equips them with language to describe their authentic
leadership style. Now, imagine an AI platform extending this process
across an entire team, enabling people not only to articulate their
strengths but also to understand and align with those of their
colleagues, while intelligently matching roles in complex situations so
energy and efforts are optimized to meet challenges successfully.

For
instance, if your team has taken assessments like the Clifton
Strengths, DISC, Myers-Briggs, Predictive Index or HBDI, you can prompt
your AI platform to take the assessment findings of each team member and
identify where your team is likely to collectively shine. Think: Who
will work best together in various scenarios, where strengths overlap
and potential gaps may be, and where their diverse perspectives will
benefit an initiative. This is great for staffing projects, assigning
mentors, and for intentional hiring decisions to build a robust, resilient team.  

Machines Supporting Humans

Organizations
thriving in the coming decade won’t use AI most extensively, but most
intentionally. This requires leaders who understand technology is only
as powerful as the human systems it supports.

As
a mixed-race, millennial woman who has navigated predominantly white,
male-dominated industries, I’ve seen how traditional power structures
prioritize performance over people. AI gives us a chance to build
workplaces that amplify human potential rather than exploit it. 

According
to McKinsey & Co, over the next three years, 92% of companies plan
to increase their AI investments. Gen AI is already here, it’s up to
leaders to embrace this paradigm shifting opportunity effectively. 

The
future isn’t humans versus machines—it’s humans plus machines, creating
conditions where people can think, create, and connect in ways that
drive both individual fulfillment and organizational success.