For companies using or implementing AI
Your people are already using AI. Has anyone decided who it lands on?
Most AI plans check whether it works and whether it's compliant. I help you see how it impacts your people, communities and business: who gains, who pays, and what to change.
Some AI choices can't be coded or computed.
They aren't engineering problems an algorithm can solve. They're choices about how your AI impacts people, communities and society, and someone has to make them on purpose.
What information feeds it
And whose work, judgment and data it's built on.
Where AI shouldn't be used at all
The decisions that should stay with people.
Who gains and who pays
Across race, class, gender, disability and caregiving, and where they overlap.
Those choices decide who your AI serves, who it leaves behind, and whether it supports people or exploits them.
IT covers permissions. Legal covers what's allowed. I help your leaders and teams make the choices that take human judgment, not just metrics.
What it costs the business
Wasted spend
42%
of companies abandoned most of their AI initiatives in 2025, up from 17%.
Reputation
50%
of US adults are more concerned than excited about AI, up from 37% in 2021.
Trust and retention
42%
of employees trust their employer to use AI for their benefit. The people it lands on are the people you need to keep.
Two ways to work together
For a company or team setting its course
AI Principles and Guardrails
The people side of your AI strategy.
Not a policy template. You leave with tools your teams use:
- Human-first principles for your AI use, set with your leadership, and clear triggers for when a use needs a full review
- A named owner for each principle, with a starting baseline and measures, so you can see whether your AI is working for your people and your business, not just whether it runs
- Questions to ask your AI vendors before you sign
- An onboarding plan for AI agents, run through HR
Optional retainer: I stay on as your partner and review the high-stakes uses as they come up.
For a specific AI decision with a go-live date
AI Social Impact Review
For one AI tool, agent or use you're about to buy or launch.
- Before you sign: who it lands on, and what to write into the contract
- Before go-live: paid panels with the people it affects, then recommendations with an owner and a measure
- For your talent plans: how to navigate the roles it changes, and what to update in workforce, succession and development planning
- A working session with your leadership team to decide what to change
Two founding pilot spots open
When to bring me in
For AI principles
Any time. Ideally while you're building or refining your AI strategy.
Company-wide if you can, so every team works from the same principles. A single team or department works too.
For a pre-launch review
After the vendor demo. Before you sign.
That's when your questions still have leverage and can go into the contract. Already signed? We start before go-live, or at renewal.
Why work with me
Rebecca Grey
Founder, AI Social Impact Advisory
I see around corners.
I call out the risks others miss, because I know both the business strategy and the people impacts.
- Led social impact at Fortune 500 and Fortune 1000 companies, including Kohl's, Victoria's Secret and Advantage Solutions
- Counseled C-suites and presented to boards
- Built social impact strategies from the ground up, including in unprecedented times
- A key leader in business transformation initiatives
- A student of the history of technology and AI, keeping up with the latest so you don't have to
Your teams know how the AI works. I help you see who it lands on, and what to change.
Fair questions
Why is this necessary?
Companies are already responsible for how their decisions impact people, communities and society. AI is no different. And the hardest AI choices aren't technical. Who gains, who pays and which roles change decide whether your people use it, whether you keep them, and how it lands with customers and the public. Skip those choices, and you find out after launch, when they're harder to fix.
We already have an AI strategy and governance. Is it too late?
No. Most AI strategies and governance cover tools, security, compliance and returns. I add the people side: how it impacts your people, communities and business. It fits inside what you already have.
What about legal exposure?
I flag it early for your counsel, and we agree with them up front how findings are documented. Not legal advice.
We've already signed. Is it too late?
No. We start before go-live, or at renewal, when new AI features get switched on.
Working on your AI strategy, or about to sign?
Let's talk while the choices are still yours to make.
Building an AI product? See how I work with founders