The hardest part of AI isn't the AI. It's the people, the workflows, and the leadership willing to change them.

We help leaders build AI-native companies.

Let's talk
The problem

We see AI theater everywhere.

The board asks "what's our AI strategy" and gets a deck back. The workshop happens and nothing changes on Monday. A new Head of AI gets hired with no authority to change anything. And somewhere in your org right now, a director is pasting PHI into her personal ChatGPT to hit a deadline.

The same failure, every time.

The good news: it's not a technology problem. It's a culture problem.

How we work

We move in. We find where AI moves the P&L. We change how your teams work.

First 90 days, we learn your business, train your people, and identify the use cases that actually move the P&L. Then we stay. Sometimes as your fractional AI leadership. Sometimes as your operating partners. Sometimes as advisors. Always as people who care whether the work shipped.

We don't leave decks behind. We leave AI-native teams behind, able to solve their own problems and absorb whatever comes next.

What moves

Two numbers we care about.

Revenue per employee.

When AI runs through your operators instead of around them, labor efficiency climbs. You invest in people instead of hiring around the gap.

Trial cycle time and risk.

Faster, safer, cheaper. The work that used to take quarters takes weeks.

That's the whole job.

Who

Founders. Partners. Principals. in the room with your leadership.

A team of operators in the workflows with your people.

Chris Dumas
CEO and Co-Founder

CEO and COO across media, AI agencies, marketing and legal companies prior to Sharper. Has been in the chair your CEO is in right now. Has faced the problems your leadership team is facing today. Has shipped the change.

Ryan O'Connor
Principal AI Operator and Co-Founder

Product leader across multiple life sciences companies. At the forefront of AI for the last several years. Knows what shipping actually requires.

Behind us, a team that doesn't fit on this page. Leaders, operators and builders from Facebook, Google, Anthropic, Accenture, Deloitte, and McKinsey. Life sciences depth across clinical trials from Phase 1 through commercial, med tech, and CROs. MDs, PhDs with the scars to prove it.

You'll meet and work with the exact people assigned to your engagement. No slide of logos. No bait and switch.

We're always hiring people who are this good. If that's you, drop a line at chris@getsharper.ai. It comes straight to me.

The proof

We don't talk about our clients publicly.

In life sciences, the IP is sensitive and the leverage is theirs to keep.

Most people find us through them. A board member, a peer CEO, an operator who watched it work.

What we share publicly is the work that isn't under NDA: the Sharper AI Life Sciences Report. Quarterly. The state of AI across the industry, from people doing the work, not watching it.

The fine print

We're expensive. We're picky. We're worth it.

Few clients. Long relationships. Engagement starts below the cost of a senior hire and grows from there.

Nothing else works. Leadership is all in or it doesn't ship. So we filter hard:

If your CEO isn't in the room, we pass. If you want one automation, hire a developer. If your team thinks AI is IT's job, we pass. If you want pretty slides without implementation, we pass.

One thing

The window to make your company AI-native is open right now. In 24 months it won't be.

Let's talk

No pitch. No deck.

Let's talk