AI adoption for biotech — without the compliance headaches.
- Policies that Legal & Medical sign off
- Training your people will actually follow
- Rollout in weeks, not quarters
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Most organizations end up in one of three bad states:
Shadow usage without clear rules.
People pasting patient data into ChatGPT because they don't know not to.
Policy exists but nobody understands it.
Legal wrote a 20-page doc. No one read it. People are still guessing.
Tool rollouts stall. ROI never shows up.
You bought the license 6 months ago. Usage is under 20%.
We provide safe adoption and make your people productive — in weeks, not quarters.
Three ways we help — pick what you need.
Every engagement follows the same pattern — diagnose, design, rollout — but you pick the modules you need.
You get:
- AI usage audit across teams
- Risk and sensitivity mapping
- Top 5–10 prioritized use cases
- Quick-win implementation plan
You get:
- Plain-English AI use policy
- Data/IP classification rules
- Tool approval workflow + intake form
- Escalation path for edge cases
You get:
- Role-based training sessions
- Prompting playbooks with real examples
- Champions network setup
- Adoption metrics + dashboard
Not sure which module fits? We'll tell you in 20 minutes.
Let's talkHow our programs perform
Based on our most recent engagements. AI adoption should show up in behavior and time saved, not opinions.
saved per employee, per week
of staff trained within 21 days
of employees report daily usage
What our clients say
Jarrad Aguirre, M.D.
Chief Executive Officer, Miga Health
"The policies, frameworks, and training Dre implemented at Miga turned AI from ad hoc experimentation into a safe, repeatable way of working. People understood what was allowed, had real examples to follow, and started using the tools in daily workflows. We were able to do more with the same headcount, and the quality of outputs improved across the company. Employees genuinely felt like they had superpowers."
Georgette Verdin
Chief People Officer, Bitterroot Bio
"As 2025 began and AI tools proved effective, we knew we had to apply them in research and studies. Dre moved quickly, partnering with the executive committee and C-level leaders to pinpoint challenges, select tools, set guardrails to protect our technology and IP, and train employees to use ChatGPT. On the People team, we made progress, reinventing Year End Performance Reviews, and will deploy an AI-enabled approach in 2026."
Pavan Cheruvu, M.D.
Chief Executive Officer, Bitterroot Bio
"We were stuck trying to roll out an AI policy. The intent was right, but it wasn't landing and adoption was uneven. Dre treated it like a change management problem, not a document problem. He clarified the guardrails, made the guidance usable with real examples, and trained managers and teams so people actually changed behavior. We went from stalled policy work to a repeatable rollout, with higher quality outputs and more consistent day to day usage."
Want results like these?
Let's chatWho is Kinesis Company
AI adoption expertise built in biotech, pharma, and life sciences.
Dre Limberopoulos
Founder & Principal Consultant
15 years implementing new technologies inside IP-sensitive teams, including biotech startups, clinical-stage drug development, and healthcare organizations handling patient data.
My approach is simple. People adopt tools when the guidance is clear, the training is useful, and leadership treats it like change management rather than a memo. I focus on what employees can do today, what they should never do, and how to make adoption measurable.
I care about making AI feel safe and genuinely helpful for teams who handle sensitive clinical data, drug development IP, and regulated workflows — without slowing the pace of the business.
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Let's make AI work for your team
Bring your questions — we'll figure out the right next step together.