Member since November 2017
Angela Pitter is the Founder & CEO of LiveWire Collaborative, an AI visibility advisory firm in Greater Boston. Her work addresses a problem most leaders don't know they have: the gap between the authority they have earned in the real world and the evidence AI systems can find, verify, and use.
Angela calls one consequence of that gap digital erasure. Not ranked lower. Not represented badly. Missing from the answer entirely. Her 2026 TEDxRoxbury talk, Is AI Erasing Your Neighborhood?, was named a TEDx Editor’s Pick, a distinction given to fewer than 1% of TEDx talks, and has surpassed 69,000 views.
A computer engineer by training, Angela spent 25 years leading global technology teams before founding LiveWire Collaborative in 2012. Today she works with business, nonprofit, and institutional leaders on AI visibility, responsible AI adoption, and executive authority. She has trained more than 5,000 nonprofit and corporate leaders on responsible AI use and executive presence. Angela is a Commonwealth Heroine and Board Chair of the Charles River Regional Chamber of Commerce.
Her premise is simple: AI does not attend rooms. It only sees evidence.
This is what I love: helping executives and companies move from the best-kept secret to being recommended by AI.
"I have spent 25 years in pharmaceutical regulatory affairs, knowing that how you tell your story matters as much as the story itself. I just hadn't applied that principle to my own LinkedIn profile. Angela Pitter changed that."
"Angela saw the gap immediately and knew exactly how to close it. She didn't just improve the writing. She brought a genuine understanding of the biopharma executive landscape and a sharp instinct for what makes a senior leader's story land with a C-suite audience. She pushed past the generic and insisted on specificity at every turn."
"She is strategic, rigorous, and exceptionally good at helping accomplished professionals finally look on paper the way they show up in a room."
Kimberly Dickerson Dilday, PharmD MSc
A former client, Kimberly Dickerson Dilday, did not have a credibility problem. She had a translation problem. Her 25-year biopharma career included 12+ global submissions and approvals, 40+ health authority meetings across FDA, EMA, MHRA, Health Canada, FDA Ghana, and NAFDAC Nigeria, and zero Complete Response Letters. Yet her LinkedIn profile reduced that record to generic role descriptions, no Featured evidence, and only two memorable proof points on the entire page.
Kimberly is an Executive Director of US Regulatory Science and Strategy at a global biopharma company, with a record spanning Novartis, Sunovion, Vertex, and Boehringer Ingelheim. Her career operated at the level her target roles required. The profile transferred almost none of that proof to LinkedIn.
The Results
Score. 40 to 83. Low-Signal to Magnetic. A three-band jump.
Reach. 217 profile views in the 90 days following the rebuild, nearly half the 473 recorded across the entire prior year.
"When I came to Angela, my profile was accurate but invisible. My accomplishments sat buried under job titles and focus areas."
"She is strategic, rigorous, and exceptionally good at helping accomplished professionals finally look on paper the way they show up in a room."
Kimberly Dickerson Dilday, PharmD MSc
Former Executive Director, US Regulatory Science & Strategy | Boehringer Ingelheim
Read more here - https://livewirecollaborative.com/executive-visibility/
When I ran for Newton School Committee, I could not knock on every door in the city. So I did what I had spent 25 years doing in technology. I looked at the system, worked out what it could actually see, and built for that.
The campaign became the turning point. The same skills I had used leading global technology teams could help businesses and nonprofits reach the people they were built to serve. That is why I founded LiveWire Collaborative in 2012.
The instinct is older than the career. My story starts in the Bronx, with Jamaican immigrant parents who believed in education, hard work, and making yourself useful, and with a father whose shoe business gave me my first lessons in enterprise. That is where I learned how trust actually gets built. One person, one interaction, one promise kept at a time.
Bronx High School of Science. Then Boston University, computer engineering and administration. Then a quarter century in high tech, leading global teams, solving complex problems, and learning from the inside how systems decide what counts.
Most leaders think the AI decision is still ahead of them. It isn't. AI didn't wait for your permission.
Your employees are already using it. Your customers are already asking AI who to trust, hire, and recommend. Professionals in high-stakes fields are already confronting the difference between an answer that sounds right and one they can actually defend.
Adoption moved in from the edges while leadership was still deciding whether to open the door.
So the question is no longer "Should we adopt AI?" It's: what do we do about the AI adoption that has already happened around us?
You'll leave with four questions to take back to your team:
This is not about what AI might do someday. It's about what's already happening, and what leaders need to do next.
Before a client, a recruiter, an investor, or a conference chair opens Google, more of them ask AI first. Who should speak on AI governance? Who are thought leaders in healthcare AI? Who belongs on the shortlist?
In this working session, Angela audits her own AI presence live, gaps and all. Then you run the same audit privately on your own phone and see, most of you for the first time, whether AI would actually recommend you. You leave with a clear read, a one-page roadmap, and one move you can make by Monday to change the answer.
See it. A first, honest read on whether AI would recommend you today, and what intelligent systems surface when someone asks who to trust, hire, or back.
Name it. Language for a risk you have felt but could not name: why accomplishment alone does not protect you from being invisible, and what visibility actually costs when the machine decides who gets seen.
Fix it. One concrete move you can make this week, plus your own read from CanAIRecommendYou.com so you can keep working after you leave.
You built the reputation. This is the hour you make the machine account for it.
AI won’t replace us, but it will erase communities that don’t actively teach it who they are. Neighborhoods like Roxbury can become the blueprint for stopping that erasure. Algorithmic equity begins at the neighborhood level, and the communities that act now will write the rules for those that follow. Neighborhoods can intentionally 'train' AI by creating a coordinated digital blueprint: structured stories, cultural markers, and institutional signals that teach algorithms who we are.
My TEDxRoxbury talk, Is AI Erasing Your Neighborhood?, was named a TEDx Editor’s Pick, a distinction given to fewer than 1% of TEDx talks, and has surpassed 69,000 views. Watch here.
A former client, Kimberly Dickerson Dilday, did not have a credibility problem. She had a translation problem. Her 25-year biopharma career included 12+ global submissions and approvals, 40+ health authority meetings across FDA, EMA, MHRA, Health Canada, FDA Ghana, and NAFDAC Nigeria, and zero Complete Response Letters. Yet her LinkedIn profile reduced that record to generic role descriptions, no Featured evidence, and only two memorable proof points on the entire page.
Kimberly is an Executive Director of US Regulatory Science and Strategy at a global biopharma company, with a record spanning Novartis, Sunovion, Vertex, and Boehringer Ingelheim. Her career operated at the level her target roles required. The profile transferred almost none of that proof to LinkedIn.
The Results
Score. 40 to 83. Low-Signal to Magnetic. A three-band jump.
Reach. 217 profile views in the 90 days following the rebuild, nearly half the 473 recorded across the entire prior year.
"When I came to Angela, my profile was accurate but invisible. My accomplishments sat buried under job titles and focus areas."
"She is strategic, rigorous, and exceptionally good at helping accomplished professionals finally look on paper the way they show up in a room."
Kimberly Dickerson Dilday, PharmD MSc
Former Executive Director, US Regulatory Science & Strategy | Boehringer Ingelheim
Read more here - https://livewirecollaborative.com/executive-visibility/
When I ran for Newton School Committee, I could not knock on every door in the city. So I did what I had spent 25 years doing in technology. I looked at the system, worked out what it could actually see, and built for that.
The campaign became the turning point. The same skills I had used leading global technology teams could help businesses and nonprofits reach the people they were built to serve. That is why I founded LiveWire Collaborative in 2012.
The instinct is older than the career. My story starts in the Bronx, with Jamaican immigrant parents who believed in education, hard work, and making yourself useful, and with a father whose shoe business gave me my first lessons in enterprise. That is where I learned how trust actually gets built. One person, one interaction, one promise kept at a time.
Bronx High School of Science. Then Boston University, computer engineering and administration. Then a quarter century in high tech, leading global teams, solving complex problems, and learning from the inside how systems decide what counts.
Most leaders think the AI decision is still ahead of them. It isn't. AI didn't wait for your permission.
Your employees are already using it. Your customers are already asking AI who to trust, hire, and recommend. Professionals in high-stakes fields are already confronting the difference between an answer that sounds right and one they can actually defend.
Adoption moved in from the edges while leadership was still deciding whether to open the door.
So the question is no longer "Should we adopt AI?" It's: what do we do about the AI adoption that has already happened around us?
You'll leave with four questions to take back to your team:
This is not about what AI might do someday. It's about what's already happening, and what leaders need to do next.
Before a client, a recruiter, an investor, or a conference chair opens Google, more of them ask AI first. Who should speak on AI governance? Who are thought leaders in healthcare AI? Who belongs on the shortlist?
In this working session, Angela audits her own AI presence live, gaps and all. Then you run the same audit privately on your own phone and see, most of you for the first time, whether AI would actually recommend you. You leave with a clear read, a one-page roadmap, and one move you can make by Monday to change the answer.
See it. A first, honest read on whether AI would recommend you today, and what intelligent systems surface when someone asks who to trust, hire, or back.
Name it. Language for a risk you have felt but could not name: why accomplishment alone does not protect you from being invisible, and what visibility actually costs when the machine decides who gets seen.
Fix it. One concrete move you can make this week, plus your own read from CanAIRecommendYou.com so you can keep working after you leave.
You built the reputation. This is the hour you make the machine account for it.
AI won’t replace us, but it will erase communities that don’t actively teach it who they are. Neighborhoods like Roxbury can become the blueprint for stopping that erasure. Algorithmic equity begins at the neighborhood level, and the communities that act now will write the rules for those that follow. Neighborhoods can intentionally 'train' AI by creating a coordinated digital blueprint: structured stories, cultural markers, and institutional signals that teach algorithms who we are.
My TEDxRoxbury talk, Is AI Erasing Your Neighborhood?, was named a TEDx Editor’s Pick, a distinction given to fewer than 1% of TEDx talks, and has surpassed 69,000 views. Watch here.
